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Article

The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines?

by
Lorafe Lozano
1,2,* and
Evelyn B. Taboada
1,3
1
Center for Research in Energy Systems and Technologies (CREST) and Engineering Graduate Program, School of Engineering, University of San Carlos, Cebu City 6000, Philippines
2
Department of Industrial Engineering, University of San Carlos, Cebu City 6000, Philippines
3
Department of Chemical Engineering, University of San Carlos, Cebu City 6000, Philippines
*
Author to whom correspondence should be addressed.
Energies 2021, 14(9), 2705; https://doi.org/10.3390/en14092705
Submission received: 24 March 2021 / Revised: 26 April 2021 / Accepted: 27 April 2021 / Published: 9 May 2021
(This article belongs to the Special Issue Addressing Challenges of Low-Carbon Energy Transition)

Abstract

:
Electrification plays a crucial role in the advancement of rural communities but establishing its impact to the communities’ sustainable development remains a challenge. This paper presents a pragmatic framework for assessing how electrification affects sustainable development at the grassroots level with eight indicators in the economic, technical, social, and environmental dimensions highlighted. An exploratory factor analysis approach is applied to determine how these dimensions contribute to the community’s overall sustainable development. The framework is applied in two islands in the Philippines of less than 500 households and varying electrification levels. Results indicate that Gilutongan Island, which has less than 24-h electricity access rarely find productive uses of electricity and still make use of conventional fuels for lighting. Meanwhile, Cobrador Island, which has 24-h access see improvements in almost all aspects, although they are slightly burdened by the unaffordability of tariffs. This means that islands with limited hours for electricity access rarely experience positive impacts to their socioeconomic development while the opposite is true for islands with longer access. The framework can be a useful tool for decision- and policy-makers to assess electrification in rural off-grid communities and to streamline efforts in helping these communities achieve sustainable development.

1. Introduction

Electrification is regarded as one of the most significant breakthroughs that has brought about the improvement and advancement of people’s lives. The uses of electricity are seen in everyday activities such as those in communications, business, transportation, education, and domestic life. In remote areas where most people are poor, electrification is seen to alleviate poverty, increase access to basic services, and advance social systems [1,2]. The importance of electrification is echoed in the United Nations’ Sustainable Development Goals with universal access to electricity and increased renewable energy adoption envisioned by the year 2030 [3]. As of 2017, there are 840 million people who are still without electricity [4]. The majority of the unelectrified population live in rural, isolated areas with marginalized economic capabilities and poor living conditions [5]. Because of these constraints, effective electrification of most of these populations rely on off-grid or decentralized systems, usually with renewable energy deployments [6].
Global efforts have been directed on energy access in unelectrified regions and international agencies have reported a slight increase in electricity access given to rural areas over the past years [7,8,9]. However, the pragmatic impact of these electrification systems to sustainable development still continues to be a challenge [10,11]. In some cases, systems are limited in capacity and are incapable of meeting household demand [12,13,14]. In other cases, the high capitalization cost of off-grid systems, particularly those that integrate renewable energy technologies and where battery storage systems are required, results in high electricity tariffs and becomes an obstacle to implementation [15,16,17]. Sustainable development (SD), in this study, is defined as the principle wherein electrification systems support for the socioeconomic progress and growth of end-users by providing for adequate electricity use, affordable electricity tariffs, safe electricity use, and cleaner electricity source [18,19].
While efforts are already underway to extend electricity access to rural communities either through off-grid systems or grid extensions, it is also necessary to establish the ability of these systems to support SD [20,21]. Determining how electrification systems promote SD is a challenge for policy- and decision-makers considering the multi-faceted dimensions influencing such development. Specific to rural and isolated islands in the Philippines, electrification is challenged by proximity to the main transmission grid, poor economic conditions of residents, the perceived low demand/low capacity to pay, and the inability to find productive uses of electricity [22]. In most cases, these islands obtain roughly from 4 to 8 h of electricity from diesel generator systems running on conventional fossil fuels [23]. The promotion of SD in these small islands is not merely reliant on increasing access to electricity but more so about empowering the community and improving access to basic services [24]. Moreover, there is a need to determine, from users’ perspectives, the difference between merely having electricity access and of being able to use electricity to improve their quality of life [25].

1.1. Impacts of Electrification to Sustainable Development

Energy access is already recognized as a crucial enabler of socioeconomic development and is seen to contribute to the improvement of living conditions of rural populations [26,27]. The provision of electricity to rural areas is acknowledged to have a positive impact on household activities through the increased ownership and use of appliances, reduction of fuel wood use, improved education, and improved employment [28,29]. Electricity access is also seen to improve productivity, promote gender equality, and stimulate socioeconomic growth through the promotion of productive uses of electricity [30,31]. However, while electricity access in rural areas is seen to foster socioeconomic growth in the communities, there is an inclination for positive impact to benefit communities with higher average household expenditures and with relatively higher incomes [32]. Moreover, the availability and reliability of the power supply are asserted as crucial parameters in encouraging significant and longer use of electricity among rural consumers [33,34,35]. Rural electrification programs fail not just because of poor design considerations and over- or under-estimation of demand but also because of weak regulatory frameworks and vague policies [36,37,38]. It must also be emphasized that while financial schemes have a significant impact to rural electrification due to its high capitalization, the dependence on subsidies or donations and the concept that electricity could be free should be eradicated in the cultures of rural consumers, to promote a more sustainable consumption of electricity [39].

1.2. Assessing Sustainable Development Impacts

The sustainability of electrification systems and technologies have been extensively studied in literature with sustainability indices already developed [40,41,42]. However, the impact of electrification systems to SD, especially from the end-users’ perspective, has not been significantly explored, although analysis has been done for mini-grids in Kenya [43], renewable energy implementation in sub-Saharan Africa [44], and small-scale hydropower projects in India [45]. Thus, the development of an assessment framework for SD impacts follows closely the approaches for sustainability assessment as sustainable development is seen to be a pathway towards sustainability [46]. Sustainability assessments generally follow the monetary, biophysical, and indicator-based methods (see Figure 1) [47] with the monetary and indicator-based methods as the typical tools of choice when accounting for the social, economic, and environmental impacts of energy projects due to their flexibility in quantifying these dimensions [48,49,50,51]. However, as sustainability evaluations now adapt a multidimensional approach, the indicator-based approach is the most preferable tool in various studies due to its ability to capture the multifaceted nature of sustainability, with both quantitative and qualitative attributes already being considered in its measurement [52,53,54].
The indicator-based approach allows researchers to define attributes to sustainability that best fit the requirements of certain rural electrification projects, such as the case of hydropower projects that require indicators that uniquely influence the environmental aspect of installing hydropower plants [55]. In defining indicators, typical sustainability studies look at the triple bottom line approach considering the environmental, economic, and social dimensions [40,56,57,58]. These typical dimensions have been expanded over the years to consider several other factors to sustainability such as the technical and institutional aspects [59]. The study of Ilskog (2008) has provided an in-depth framework in the sustainability evaluation of rural electrification projects, covering 39 indicators in five dimensions—technical, economic, social/ethical, environmental, and institutional [60], which has already been adapted in several works [22,61].
Defining the indicators to sustainable development is crucial in developing a relevant assessment of how rural electrification projects impact the growth and development of rural communities. Indicators such as emission mitigation, adequacy of supply, reliability of supply, affordability of supply, stewardship, improvements in productivity, and institutional alignments are typically considered in studies [62,63]. Several studies have purported that some renewable off-grids become unviable and unsustainable due to high electricity charges and low demand, negatively impacting the socioeconomic development of the communities [64,65].
The studies reviewed clearly indicate that the choice of approach and framework greatly depend on the assessment goals. Moreover, the types of indicators must be carefully chosen to be able to develop a sound basis for measurement. The overarching nature of sustainable development also makes it necessary to prudently define boundaries with which the assessment is to be made in order to create a reasonable framework for evaluation. There is also a need to understand how indicators correlate with each other such that indices should not be myopic in only considering indicators according to certain dimensions. The use of multivariate techniques such as principal component analysis (PCA) is also seen as a helpful tool to address the multidimensional aspect of sustainability [54,66,67]. With compounded numbers of indicators to consider, some assessment methods require dimensionality reduction to consider only the most relevant factors to sustainability, performing factor analysis (FA) to draw out only the causal indicators of sustainability in varied industries [68,69,70].

1.3. The Focus of This Study

Sustainability assessments are seen to support decision-making and policy development and have become a common practice to help decision- and policy-makers develop plans and policies that will ultimately lead to sustainable development [71]. The significant role of sustainable development in electrification assessments has been highlighted in several studies as crucial in establishing the sustainability of electrification projects [72,73,74]. This paper draws from the different insights presented in literature about sustainability assessments and is grounded on the conclusion that no existing assessment framework has been made to determine how electrification systems impact sustainable development, particularly for rural off-grid island communities. The primary basis for this paper is the energy trilemma such that the framework and the indicators lean on the three pillars of energy security, energy equity, and environmental sustainability [75]. The framework explores the grassroots perspective of SD impact assessment and is applied in the rural, islandic setting in order to gain good insights into the ability of rural electrification systems to support developmental growth for its consumers. Specifically, this paper aims to determine the impact of electrification on the sustainable development of the community and its end users through developing a simple and pragmatic assessment framework. This assessment could be a good baseline for future rural electrification projects to ascertain the different contributing factors to sustainable development and could assist policy and decision makers in determining whether rural electrification systems contribute to the community’s sustainable development. The study is further divided into subsections where the methods, conceptual framework, and sustainable development impacts framework are discussed in Section 2. The results of the assessment are discussed in Section 3. Implications to Philippine rural electrification are discussed in Section 4 of the paper and finally the conclusions of the study are discussed in Section 5.

2. Materials and Methods

2.1. Conceptual Framework

According to the World Bank, the socioeconomic development of the poor communities is the primary objective of expanding electricity access to rural areas [76]. It is considered that electricity provides the crucial factors that allow communities to achieve poverty alleviation, gender equality, good health, better education, and sustainable living. In this paper, the sustainability of electricity systems in rural and isolated areas is regarded as dependent on how these systems can help the communities and end users achieve sustainable development. Sustainable development was first proposed in the Brundtland Report to bridge environmental and human development [77]. This was then expanded by the United Nations in 2015 whereby seventeen sustainable development goals were identified, and goal 7 is to ensure access to affordable, reliable, sustainable, and modern energy for all [78]. Among the targets are ensuring universal access to modern energy services and increasing the proportion of renewable energy in the global mix by 2030.
The World Energy Council has developed an index that addresses three core dimensions to policy—energy security, energy equity, and environmental sustainability. Called the energy trilemma, it takes into consideration energy reliability and capacity, affordability, and mitigation of harmful climate change impacts [79]. The Energy Trilemma has been linked with sustainable electrification and the framework has been used in several sustainability studies and sustainable development planning in the least-developed regions [80]. Particularly among the poor in rural areas, where energy inequity is widespread, addressing the Energy Trilemma has been highlighted in the efforts to extend electricity access to isolated communities [81]. Likewise, the Energy Trilemma framework has been used in measuring national energy performance [82], in studies on mitigating energy poverty [83], and in providing sustainable power systems to islands [84].
Conventionally, a trilemma is presented as an “impossible trinity” where one goal is sacrificed in pursuit of the other two. The Energy Trilemma breaks this traditional definition and requires striking a balance to achieve all three goals. The framework to assess the impact of rural electrification on the community’s sustainable development is largely based on the three pillars of the Energy Trilemma, considering four dimensions, as shown in Figure 2. Energy security, defined as the capacity to meet current and future energy demand reliably, is linked to the technical dimension of sustainability. Energy equity, defined as the ability to provide universal electricity access at an affordable price, is linked to the economic dimension. Environmental sustainability, defined as the transition of energy systems towards climate change mitigation, is linked to the environmental dimension. At the core of these three dimensions is the social dimension, denoting that the social impact of electrification systems is central to addressing the Energy Trilemma and should be the foremost consideration for sustainable development [85]. Social acceptance, improved social services, and livelihood enhancements are consequential to sustainability and it is necessary for electrification policies to factor in these aspects [61,86]. In the context of Philippine electrification, the deliberation of the social dimension becomes necessary as rural electrification initiatives have shifted from government-initiated efforts to private sector participation [87]. This means that the future of rural electrification is now subject to private capitalization and the subsequent need for the private sector to generate profits from such projects [21]. It then becomes necessary for rural communities to realize the benefits of electrification by ensuring that such systems provide for the socioeconomic growth and sustainable development of the end-users.

2.2. Case Environment

The analysis undertaken in this study considers the electrification systems of two case islands in the Philippines (see Figure 3) that are classified as isolated barangays (villages) and have experienced two different electrification levels, with different energy technologies implemented. Gilutongan Island (10°12′00″ N, 123°59′00″ E) is an island barangay in Cordova, Cebu. It is currently powered by a 194 kVA diesel generator set donated by the provincial government that provides electricity to the island residents for 4.5 h every night from 6:00 P.M. to 10:30 P.M. Locals own 30% of the land while private families not living on the island own the remaining 70% [88]. Island residents pay US $0.14 (Php 7) per light bulb connected and US $0.16 (Php 8) per power outlet. Cobrador Island (12°39′40″ N, 122°14′21″ E) is a barangay in the province of Romblon, Philippines [89]. In March 2016, the island secured 24-h electricity through a hybrid 30-kW solar photovoltaic (PV) with Li-ion battery and 15-kW diesel generator hybrid system installed through the efforts of the Asian Development Bank (ADB), Korean Energy Agency (KEA), National Electrification Administration Office for Renewable Energy Development (NEA-ORED), and the Romblon Electric Cooperative (ROMELCO) [90] with island residents paying US $0.3 (Php 15) per kWh consumption. Prior to this system, the island obtained 8-h electricity access from a 15 kW diesel generator set operated by ROMELCO at a tariff of US $0.6 (Php 30) per kWh.

2.3. Sustainable Development Indicators

The assessment is carried out considering the technical, social, economic, and environmental dimensions. Eight indicators are chosen and regarded as good measures of the impact of electrification to the sustainable development of isolated island communities in the Philippines. Table 1 summarizes the indicators used in this study. Affordability is seen to have a direct impact to the sustainability of electrification systems with several studies indicating that such systems fail due to expensive tariffs. In coastal communities in the Philippines where economic activities are non-reliant on electricity and where households typically earn very low income, finding economically-valuable uses of electricity becomes an important measure of sustainability. Being able to use electricity for productive means leads to increased income and subsequently to buying power and capacity to pay. Adequacy of supply, duration, reliability, and safety of service are also crucial measures as end users tend to be dissuaded to use electricity if supply is low and unreliable. Electrification systems are also seen to support sustainable development if electricity replaces conventional fuels for lighting and is sourced from renewable energy sources.

2.4. Data Collection and Treatment

Data were primarily gathered through grassroots survey with island residents as well as through on-field observations. For the survey, a sample population was surveyed for each of the two islands, computed based on Cochran’s formula, modified for smaller populations.
n = n 0 1 + ( n 0 1 ) N  
where n 0 = z 2 p q e 2 , and with z at 1.96 for confidence level of 95%, margin of error (e) of 0.05, p and q = 0.5. Stratified sampling was done according to the island’s village geographical division. Houses on the islands were numbered and the respondents were chosen randomly using these house numbers. Through close coordination with the local government units on the islands, all chosen respondents were surveyed over a period of one week per island. The sample population was computed based on household population and is shown in Table 2.
A survey questionnaire (see supplementary material) was designed to obtain information on the demographics of the respondents and the details of their electricity consumption. A representative from each household who is of legal age and is either the head of the family or with influential status in the household (i.e., income earner) was asked to answer the survey questionnaire. The questionnaire was reviewed a priori by the Ethics Review Committee of the academic institution to which the researchers belong. The respondents were also asked to sign a consent form, signifying voluntary participation in the survey.
The proposed approach to data analysis is a two-step approach, where the first step measures the sustainable development impact as manifested in each household corresponding to the indicators and the second step focuses on the overall progress made towards sustainable development through a combination of these indicators. In the first step, survey results are processed and scores are assigned to each household for each indicator. A scoring matrix is shown in Table 3 where scores of 1 to 3 are assigned depending on how each household demonstrates electricity access and usage. A score of 1 designates the lowest positive impact to sustainable development and a score of 3 designates the highest positive impact to sustainable development.
According to the World Bank, electricity tariff is said to be affordable if consumers spend less than 5% of their gross income on electricity bills [76]. Productive uses of electricity is measured based on the ability of the respondents to use electricity in their income-generation activities. Adequacy and reliability of supply is measured according to the actual electrical appliances used by the households, considering the number of power interruptions they experienced. Electricity as a replacement for conventional fuels is measured considering the number of respondents who still use conventional fuels for lighting despite being connected to an electrification system as opposed to the number of respondents who no longer use conventional fuels for lighting.
In the second step, an exploratory factor analysis is used to analyze the processed results. Here, all indicators considered as independent with having equal status and interdependences are identified, taking into consideration the correlation among variables and their underlying relationships. Moreover, it is the argument in this research that while indicators are arbitrarily grouped according to the dimensions they belong to, their impact to sustainable development might be better understood according to how they correlate with the other indicators outside of their arbitrary categorization (see Figure 4).
Factor loadings are determined following Equation (2) and considering the Kaiser criterion where components with eigenvalues of under 1.0 are dropped:
s a i = j λ a j F j i + a i
where sai refers to a standard score of each household for each indicator, λ a j refers to the factor loading for each factor, Fji refers to the factor influencing the observed variables and refers to the factor unique to a single observed variable. Results from the first step (survey) are loaded into SPSS simulation software to generate the factor loadings using principal component method for factor extraction and varimax for rotation. The factor loadings are then used to determine how each of the distinct factors of electrification influences sustainable development in the community through descriptive statistics and a comparative analysis is done for the two island cases.

3. Results and Discussion

Majority of the respondents in both islands are electrified with 94% in Cobrador and 96% in Gilutongan. The 6% of those not connected in Cobrador are primarily households that are waiting for their electricity connections to be installed. The 4% unconnected households in Gilutongan opted to have no electricity access.

3.1. Results of the Survey

Residents in Gilutongan have relatively unsophisticated use of electricity with 76% of the respondents using electricity to power TV sets or electric fans and 24% using electricity for lighting. This might be due to the limited hours of electricity availability, thereby restricting residents to use household appliances and other power tools. In Cobrador, 15% of the residents are able to use rice cookers, refrigerators, freezers and power tools. Only 3% of the residents are limited to using electricity for lighting while the remaining 82% are able to use TV sets, radios, and fans. With 24-h electricity access, residents in Cobrador are encouraged to use more electrical appliances and power tools. Figure 5 presents a one-day sample power consumption in Gilutongan and Cobrador recorded over a 24-h period in April and May 2018, respectively. It can be observed that there is higher electricity consumption during the daytime than in the night time for Cobrador, where 24-h electricity is available.
The electrification systems in the two case islands are fairly reliable with majority of the respondents experiencing less than three power disruptions per week. There are, however, a few respondents in Gilutongan (5%) and Cobrador (13%) who indicated that they have power disruptions for over a month. These are mostly residents who are located conspicuously far from the power supply and are the ones most affected with voltage drops or power losses when there are technical issues with the power generation system. In terms of duration, 99% of the respondents in Gilutongan indicated that they have less than 8 h of electricity access, with most of them connected only to the communal diesel generator that provides only 4 h of electricity access every night. However, one of the households surveyed on the island has 12 h of electricity access, operating their own solar photovoltaic system when electricity from the diesel generator is no longer available. In Cobrador, 92% of the respondents have 24-h electricity access. Although majority of the residents in Gilutongan (68%) indicate that they have a fairly safe and secure electrification system, 32% report damages to electrical appliances, particularly to television sets and sound systems, due to voltage drops and sudden power interruptions. In Cobrador, residents reported a fatal accident due to electrocution while fixing the electrical distribution system.
The main source of livelihood in the two case islands is fishing (Gilutongan at 57% and Cobrador at 57%). Other sources of income are provision of manual labor or services, vending (including live seafood), souvenir selling, and shell gleaning. On average, residents in Gilutongan earn US $4.15 per day and in Cobrador US $5.20 per day. Interviews with residents in Gilutongan indicated that residents find the daily collection of electricity payment to be reasonable and economical considering that they earn income on a daily basis as well. In Cobrador, residents expressed that electricity tariff per kWh has significantly decreased since the installation of their hybrid microgrid, although they felt that the tariff could still be lowered such that it is comparable to the tariffs being enjoyed in the mainland. Majority of the residents in both islands pay between 5% to 10% of their gross monthly income for electricity with Gilutongan at 55% and Cobrador at 47%.
In Gilutongan, where electricity is available for only 4 h every night, majority of the respondents find that electricity has not helped in their economic activities. Only 28% for Gilutongan use electricity to generate income, albeit these uses are mostly for lighting up small vending stores at night or powering up video karaoke machines. In Cobrador, where electricity is available for 24 h a day, 79% of the residents engage in productive activities using electricity while only 21% of them do not use electricity for economic means. Upon the provision of 24-h electricity on the island, majority of the residents purchased and used refrigerators and freezers to preserve their catch or to improve small vending businesses. Other residents who engage in carpentry also made use of power tools to increase productivity. Other households ventured into selling food and beverages where they used domestic appliances such as blenders.
According to interviews with the respondents in Gilutongan, the limited availability of electricity supply has prompted 82% of them to still use conventional fuels like kerosene for lighting. In Cobrador, only 27% of the residents continue to use kerosene for lighting and most of them only use it during times when there are power interruptions. Moreover, 86% of the residents in Cobrador source their electricity only from conventional means (i.e., diesel generators) while 95% of the residents in Cobrador have a mix of renewable energy and conventional fossil fuels as sources of electricity.

3.2. Factor Analysis Results

Figure 6 presents the scree plot for both Gilutongan and Cobrador, showing that three distinct factors are extracted for Gilutongan and four distinct factors are extracted for Cobrador, with all factors having eigenvalues of greater than 1.0.
Table 4 presents the component matrix for each of the identified factors for Gilutongan with their corresponding factor loadings. Factor 1 is composed of I3, I8, and I4; factor 2 includes I7 and I6; and factor 3 includes I1, I2, and I5.
Table 5 presents the component matrix for Cobrador for each of the identified four factors and their corresponding factor loadings. Factor 1 is composed of I8 and I3; factor 2 with I1 and I5; factor 3 with I6 and I7; and factor 4 with I4 and I2. This shows that the factors extracted for each island do not necessarily match with the typical categorization of technical, social, economic, and environmental dimensions that was previously presented in Table 1. It can be observed that duration of supply and electricity source are typically grouped together, indicating that there is an underlying correlation as manifested in the households (i.e., electricity sourced solely from diesel generators provide lesser hours of availability). It can also be observed that adequacy of supply and affordability of tariff are conventionally clustered together for both islands suggesting that there is a causal relationship between the ability to use electrical appliance with respect to supply and the electricity tariff paid by the consumers.
The descriptives of both islands are presented simultaneously in Table 6. Means are taken as the sustainability score for each of the factor and an average is computed for all factors to denote the overall sustainability index (OSI) of the community. Results for Gilutongan Island suggests that their current electrification system effects a low impact to sustainable development in terms of factor 1 and factor 2 and for indicators on duration, electricity source, safety and security, displacement of conventional fuels for lighting, and support for household income. This result corroborates the findings in the survey, where majority of the households suffer from low scores in these indicators. Factor 3 scores at moderate level with 2.200 mean suggesting that electrification in the island has a moderate impact in terms of adequacy of supply, reliability, and affordability of tariffs. The overall sustainability index for the island, at 1.735, is below moderate.
Cobrador, on the other hand, demonstrates stronger sustainability indices except for factor 2 with a mean of 2.047 indicating moderate impact for the indicators adequacy of supply and affordability of tariff. This is in accordance with survey results where more than 70% of the respondents from Cobrador pay between 5% to more than 10% of their income for electricity. The island scores highest for factor 1 or for indicators on duration and electricity source since most of the residents are already connected to the hybrid diesel and solar facility and are already provided with 24-h electricity. Overall, the sustainability index for the island is moderate at 2.49, indicating that the current island electrification has comparatively contributed to the improvement in the island community’s sustainable development.

4. Implications to Philippine Rural Electrification

The Philippine Department of Energy has targeted 100% household electrification by 2020 [95]. However, the goal does not explicitly state how sustainable development is factored in to the electrification of Philippine households. Providing electricity access to poor, rural communities where they are required to pay is not entirely advantageous if electrification does not uphold the socio-economic growth of these communities. A framework developed to assess how electrification systems influence sustainable development from a grassroots perspective offers a tool for policy-makers to determine how electrification policies can be crafted to support local communities and help them achieve more balanced and holistic progress.
The results of the case islands clearly indicate that communities with lower electricity access hours and with electrification systems reliant on diesel generator sets such as Gilutongan tend to fall behind in socioeconomic growth and that despite the availability of electricity supply, households still find no improvement in their socioeconomic activities. Moreover, the limited access discourages households to use more sophisticated electrical appliances and to use electricity in lieu of conventional fossil fuels. As electrification progresses to cleaner energy sources and as access increases, sustainability is also seen to improve. The case of Cobrador supports this inference, whereby residents are seen to engage in more income-generating activities through electricity consumption and move to lessen conventional fuels consumption.
Policies should then be targeted towards increasing electricity access in isolated island communities through renewable energy technologies, while also considering affordability of electricity tariff and productive uses of electricity to improve household income, thereby encouraging households to consume more electricity and to become involved in more consequential uses of electricity. The overarching nature of sustainability and electrification makes it necessary for policy makers to look at the holistic picture of electrification—not just on the mere provision of electricity access but also in making sure that the increased access brings forth social, economic, and environmental growth for the communities.

5. Conclusions

Electrification is a crucial element in achieving the global sustainable development goals. Providing electricity access to the rural, isolated communities is seen to support socioeconomic growth and development—helping to alleviate poverty, provide better education, and foster economic advancement. The sustainability of several electrification projects for rural communities has been a challenge and several projects have already failed due to a number of factors, including issues on capacity, affordability, and reliability. Sustainability assessments have already been proposed with various indicators for sustainability considered. However, there seems to be a lack of an assessment framework that addresses the sustainable development impacts of rural, off-grid electrification systems drawing from the perspective of the end users.
This paper developed a simple and pragmatic framework that could evaluate how electrification systems in small isolated islands impact sustainable development and could be a useful tool to assess how electrification systems in rural communities support the socioeconomic growth and sustainable development of the end-users. The framework is based on the three pillars of the Energy Trilemma. Eight indicators were established in the technical, social, economic, and environmental dimensions. The framework was applied in two case islands in the Philippines with different electrification systems. Results suggest that communities with limited electricity availability and sourcing electricity from conventional diesel generator sets exhibit low sustainable development scores while communities with 24-h access and sourcing electricity from cleaner energy sources tend to show higher sustainable development scores. Moreover, finding productive uses of electricity and high system capacity that sustains higher electricity consumption have direct impacts to the sustainable development of the communities. However, reliability, affordability, and environmental attributes also play crucial roles in ensuring that these two factors are achieved. In electrifying rural, isolated communities, provision of electricity is no longer enough to ensure that communities progress sustainably. Policies must be in place to support sustainable development while electrifying these communities through the increased reliable and affordable electricity supply, the use of cleaner energy sources, and the advancement of productive uses of electricity.

Supplementary Materials

The Supplementary Material is available online at https://www.mdpi.com/article/10.3390/en14092705/s1.

Author Contributions

L.L.—Conceptualization, methodology, formal analysis, investigation, writing—original draft preparation, writing—review and editing. E.B.T.—Conceptualization, writing—review and editing, supervision, funding acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

The research received no external funding.

Institutional Review Board Statement

The study was conducted with the approval of the University of San Carlos Research Ethics Committee (Protocol Number 004/2018-01-rabuya et al and Date of Approval 8 May 2018).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data is available upon request.

Acknowledgments

The authors would like to extend their gratitude to the Engineering Research and Development for Technology (ERDT) under the Philippine Department of Science and Technology (DOST) for providing the financial support; to the University of San Carlos (USC) School of Engineering for granting the opportunity and for continuing to find prospects for advancement; to the local government units and community residents of barangays Gilutongan, Pangan-an, and Cobrador for accommodating the researchers during the study and for their support in the data gathering. Acknowledgement is also due to the Center for Research in Energy Systems and Technologies (CREST) research assistants, especially to Edward Querikiol, Engrs. Arben Vallente, Gelly Ann Zamora, Philip Caesar Ebit, Junrey Bacus, Juswe Saligan, and Jeffrey Lozada for their invaluable support to the data gathering of this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cecelski, E. Enabling Equitable Access to Rural Electrification: Current Thinking on Energy, Poverty, and Gender. 2003. Available online: http://documents.worldbank.org/curated/en/850681468328564938/pdf/345310Equitable0electrification0access.pdf (accessed on 2 January 2019).
  2. Bezerra, P.B.D.S.; Callegari, C.L.; Ribas, A.; Lucena, A.F.P.; Portugal-Pereira, J.; Koberle, A.; Szklo, A.; Schaeffer, R. The power of light: Socio-economic and environmental implications of a rural electrification program in Brazil. Environ. Res. Lett. 2017, 12, 095004. [Google Scholar] [CrossRef] [Green Version]
  3. United Nations Development Programme. Goal 7: Ensure Access to Affordable, Reliable, Sustainable and Modern Energy for All. Sustainable Development Goals. 2016. Available online: https://unstats.un.org/sdgs/report/2016/goal-07/ (accessed on 2 January 2019).
  4. The World Bank. Access to electricity. In Tracking SDG7: The Energy Progress Report 2019; The World Bank: Washington, DC, USA, 2019; pp. 1–26. [Google Scholar]
  5. World Bank. Rural Population (% of Total Population). 2018. Available online: https://data.worldbank.org/indicator/SP.RUR.TOTL.ZS (accessed on 24 December 2018).
  6. Moner-Girona, M.; Bódis, K.; Morrissey, J.; Kougias, I.; Hankins, M.; Huld, T.; Szabó, S. Decentralized rural electrification in Kenya: Speeding up universal energy access. Energy Sustain. Dev. 2019, 52, 128–146. [Google Scholar] [CrossRef]
  7. REN21. Renewables 2018 Global Status Report; REN21: Paris, France, 2018. [Google Scholar]
  8. SEforAll. Electrification; SEforAll: Paris, France, 2017. [Google Scholar]
  9. Cozzi, L.; Chen, O.; Daly, H.; Koh, A. Commentary: Population without Access to Electricity Falls Below 1 Billion. 2018. Available online: https://www.iea.org/newsroom/news/2018/october/population-without-access-to-electricity-falls-below-1-billion.html (accessed on 26 December 2018).
  10. Eras-Almeida, A.A.; Fernández, M.; Eisman, J.; Martín, J.G.; Caamaño, E.; Egido-Aguilera, M.A. Lessons learned from rural electrification experiences with third generation solar home systems in latin America: Case studies in Peru, Mexico, and Bolivia. Sustainability 2019, 11, 7139. [Google Scholar] [CrossRef] [Green Version]
  11. Eras-Almeida, A.A.; Egido-Aguilera, M.A. What is still necessary for supporting the SDG7 in the most vulnerable contexts? Sustainability 2020, 12, 7184. [Google Scholar] [CrossRef]
  12. Azimoh, C.L.; Klintenberg, P.; Wallin, F.; Karlsson, B. Illuminated but not electrified: An assessment of the impact of Solar Home System on rural households in South Africa. Appl. Energy 2015, 155, 354–364. [Google Scholar] [CrossRef] [Green Version]
  13. Wassie, Y.T.; Adaramola, M.S. Socio-economic and environmental impacts of rural electrification with Solar Photovoltaic systems: Evidence from southern Ethiopia. Energy Sustain. Dev. 2021, 60, 52–66. [Google Scholar] [CrossRef]
  14. Saim, M.A.; Khan, I. Problematizing solar energy in Bangladesh: Benefits, burdens, and electricity access through solar home systems in remote islands. Energy Res. Soc. Sci. 2021, 74, 101969. [Google Scholar] [CrossRef]
  15. Lemaire, X. Fee-for-service companies for rural electrification with photovoltaic systems: The case of Zambia. Energy Sustain. Dev. 2009, 13, 18–23. [Google Scholar] [CrossRef]
  16. Valer, L.R.; Manito, A.R.; Ribeiro, T.B.S.; Zilles, R.; Pinho, J.T. Issues in PV systems applied to rural electrification in Brazil. Renew. Sustain. Energy Rev. 2017, 78, 1033–1043. [Google Scholar] [CrossRef]
  17. Carrasco, L.; Narvarte, L.; Lorenzo, E. Operational costs of A 13,000 solar home systems rural electrification programme. Renew. Sustain. Energy Rev. 2013, 20, 1–7. [Google Scholar] [CrossRef] [Green Version]
  18. United Nations. Take Action for the Sustainable Development Goals. 2021. Available online: https://www.un.org/sustainabledevelopment/sustainable-development-goals/ (accessed on 7 March 2021).
  19. United Nations. Ensure Access to Affordable, Reliable, Sustainable and Modern Energy. Available online: https://www.un.org/sustainabledevelopment/energy/ (accessed on 14 June 2019).
  20. Abu-Rayash, A.; Dincer, I. Sustainability assessment of energy systems: A novel integrated model. J. Clean. Prod. 2019, 212, 1098–1116. [Google Scholar] [CrossRef]
  21. Lozano, L.; Taboada, E.B. Demystifying the authentic attributes of electricity-poor populations: The electrification landscape of rural off-grid island communities in the Philippines. Energy Policy 2020, 145, 111715. [Google Scholar] [CrossRef]
  22. Hong, G.W.; Abe, N. Sustainability assessment of renewable energy projects for off-grid rural electrification: The Pangan-an Island case in the Philippines. Renew. Sustain. Energy Rev. 2012, 16, 54–64. [Google Scholar] [CrossRef]
  23. Ocon, J.D.; Bertheau, P. Energy Transition from Diesel-based to Solar Photovoltaics-Battery-Diesel Hybrid System-based Island Grids in the Philippines—Techno-Economic Potential and Policy Implication on Missionary Electrification. J. Sustain. Dev. Energy Water Environ. Syst. 2019, 7, 139–154. [Google Scholar] [CrossRef]
  24. Taele, B.; Mokhutšoane, L.; Hapazari, I.; Tlali, S.; Senatla, M. Grid electrification challenges, photovoltaic electrification progress and energy sustainability in Lesotho. Renew. Sustain. Energy Rev. 2012, 16, 973–980. [Google Scholar] [CrossRef]
  25. Hong, G.W.; Abe, N.; Baclay, M.; Arciaga, L. Assessing users’ performance to sustain off-grid renewable energy systems: The capacity and willingness approach. Energy Sustain. Dev. 2015, 28, 102–114. [Google Scholar] [CrossRef] [Green Version]
  26. Kyriakarakos, G.; Balafoutis, A.T.; Bochtis, D. Proposing a Paradigm Shift in Rural Electrification Investments in Sub-Saharan Africa through Agriculture. Sustainability 2020, 12, 3096. [Google Scholar] [CrossRef] [Green Version]
  27. Pueyo, A.; Maestre, M. Linking energy access, gender and poverty: A review of the literature on productive uses of energy. Energy Res. Soc. Sci. 2019, 53, 170–181. [Google Scholar] [CrossRef]
  28. Thomas, D.R.; Harish, S.P.; Kennedy, R.; Urpelainen, J. The effects of rural electrification in India: An instrumental variable approach at the household level. J. Dev. Econ. 2019, 146, 102520. [Google Scholar] [CrossRef]
  29. Litzow, E.L.; Pattanayak, S.K.; Thinley, T. Returns to rural electrification: Evidence from Bhutan. World Dev. 2019, 121, 75–96. [Google Scholar] [CrossRef]
  30. Rathi, S.S.; Vermaak, C. Rural electrification, gender and the labor market: A cross-country study of India and South Africa. World Dev. 2018, 109, 346–359. [Google Scholar] [CrossRef]
  31. Ngowi, J.M.; Bångens, L.; Ahlgren, E.O. Benefits and challenges to productive use of off-grid rural electrification: The case of mini-hydropower in Bulongwa-Tanzania. Energy Sustain. Dev. 2019, 53, 97–103. [Google Scholar] [CrossRef]
  32. Adusah-Poku, F.; Takeuchi, K. Determinants and welfare impacts of rural electrification in Ghana. Energy Sustain. Dev. 2019, 52, 52–62. [Google Scholar] [CrossRef]
  33. Robert, F.C.; Gopalan, S. Low cost, highly reliable rural electrification through a combination of grid extension and local renewable energy generation. Sustain. Cities Soc. 2018, 42, 344–354. [Google Scholar] [CrossRef]
  34. Sharma, A.; Agrawal, S.; Urpelainen, J. The adoption and use of solar mini-grids in grid-electrified Indian villages. Energy Sustain. Dev. 2020, 55, 139–150. [Google Scholar] [CrossRef]
  35. Ganguly, R.; Jain, R.; Sharma, K.R.; Shekhar, S. Mini grids and enterprise development: A study of aspirational change and business outcomes among rural enterprise owners in India. Energy Sustain. Dev. 2020, 56, 119–127. [Google Scholar] [CrossRef]
  36. Ehnberg, J.; Ahlborg, H.; Hartvigsson, E. Approach for flexible and adaptive distribution and transformation design in rural electrification and its implications. Energy Sustain. Dev. 2020, 54, 101–110. [Google Scholar] [CrossRef]
  37. Peters, J.; Sievert, M.; Toman, M. Rural Electrification through Mini-Grids: Challenges Ahead. SSRN Electron. J. 2019, 132, 27–31. [Google Scholar] [CrossRef] [Green Version]
  38. Almeshqab, F.; Ustun, T.S. Lessons learned from rural electrification initiatives in developing countries: Insights for technical, social, financial and public policy aspects. Renew. Sustain. Energy Rev. 2019, 102, 35–53. [Google Scholar] [CrossRef]
  39. Yadav, P.; Davies, P.J.; Palit, D. Distributed solar photovoltaics landscape in Uttar Pradesh, India: Lessons for transition to decentralised rural electrification. Energy Strat. Rev. 2019, 26, 100392. [Google Scholar] [CrossRef]
  40. Boliko, C.M.; Ialnazov, D.S. An assessment of rural electrification projects in Kenya using a sustainability framework. Energy Policy 2019, 133, 110928. [Google Scholar] [CrossRef]
  41. Brent, A.C.; Rogers, D.E. Renewable rural electrification: Sustainability assessment of mini-hybrid off-grid technological systems in the African context. Renew. Energy 2010, 35, 257–265. [Google Scholar] [CrossRef] [Green Version]
  42. López-González, A.; Ferrer-Martí, L.; Domenech, B. Long-term sustainability assessment of micro-hydro projects: Case studies from Venezuela. Energy Policy 2019, 131, 120–130. [Google Scholar] [CrossRef]
  43. Maso, M.D.; Olsen, K.H.; Dong, Y.; Pedersen, M.B.; Hauschild, M.Z. Sustainable development impacts of nationally determined contributions: Assessing the case of mini-grids in Kenya. Clim. Policy 2019, 20, 815–831. [Google Scholar] [CrossRef]
  44. Bishoge, O.K.; Kombe, G.G.; Mvile, B.N. Renewable energy for sustainable development in sub-Saharan African countries: Challenges and way forward. J. Renew. Sustain. Energy 2020, 12, 052702. [Google Scholar] [CrossRef]
  45. Schmitz, D. Developing a Methodology for Assessing the Sustainable Development Impact of Small Scale CDM Hydropower Project; HWWA-Report No. 267; Hamburg Institute of International Economics: Hamburg, Germany, 2006. [Google Scholar]
  46. UNESCO. Sustainable Development; UNESCO: Paris, France. Available online: https://en.unesco.org/themes/education-sustainable-development/what-is-esd/ (accessed on 2 January 2019).
  47. Gasparatos, A.; Scolobig, A. Choosing the most appropriate sustainability assessment tool. Ecol. Econ. 2012, 80, 1–7. [Google Scholar] [CrossRef]
  48. Gasparatos, A.; Romeu-Dalmau, C.; Von Maltitz, G.P.; Johnson, F.X.; Shackleton, C.; Jarzebski, M.P.; Jumbe, C.; Ochieng, C.; Mudombi, S.; Nyambane, A.; et al. Mechanisms and indicators for assessing the impact of biofuel feedstock production on ecosystem services. Biomass Bioenergy 2018, 114, 157–173. [Google Scholar] [CrossRef]
  49. Gunawardena, U.P. Inequalities and externalities of power sector: A case of Broadlands hydropower project in Sri Lanka. Energy Policy 2010, 38, 726–734. [Google Scholar] [CrossRef]
  50. Martín-Gamboa, M.; Iribarren, D.; García-Gusano, D.; Dufour, J. A review of life-cycle approaches coupled with data envelopment analysis within multi-criteria decision analysis for sustainability assessment of energy systems. J. Clean. Prod. 2017, 150, 164–174. [Google Scholar] [CrossRef]
  51. Alvial-Palavicino, C.; Garrido-Echeverría, N.; Jiménez-Estévez, G.; Reyes, L.; Palma-Behnke, R. A methodology for community engagement in the introduction of renewable based smart microgrid. Energy Sustain. Dev. 2011, 15, 314–323. [Google Scholar] [CrossRef]
  52. Kopfmüller, J.; Weimer-Jehle, W.; Naegler, T.; Buchgeister, J.; Bräutigam, K.-R.; Stelzer, V. Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition. Energies 2021, 14, 1580. [Google Scholar] [CrossRef]
  53. Krishna, V.; Paramesh, V.; Arunachalam, V.; Das, B.; Elansary, H.; Parab, A.; Reddy, D.; Shashidhar, K.; El-Ansary, D.; Mahmoud, E.; et al. Assessment of Sustainability and Priorities for Development of Indian West Coast Region: An Application of Sustainable Livelihood Security Indicators. Sustainability 2020, 12, 8716. [Google Scholar] [CrossRef]
  54. Mainali, B.; Silveira, S. Using a sustainability index to assess energy technologies for rural electrification. Renew. Sustain. Energy Rev. 2015, 41, 1351–1365. [Google Scholar] [CrossRef]
  55. Nautiyal, H.; Goel, V. Sustainability assessment of hydropower projects. J. Clean. Prod. 2020, 265, 121661. [Google Scholar] [CrossRef]
  56. Sarangi, G.K.; Mishra, A.; Chang, Y.; Taghizadeh-Hesary, F. Indian electricity sector, energy security and sustainability: An empirical assessment. Energy Policy 2019, 135, 110964. [Google Scholar] [CrossRef]
  57. Manara, P.; Zabaniotou, A. Indicator-based economic, environmental, and social sustainability assessment of a small gasification bioenergy system fuelled with food processing residues from the Mediterranean agro-industrial sector. Sustain. Energy Technol. Assess. 2014, 8, 159–171. [Google Scholar] [CrossRef]
  58. Morimoto, R. Incorporating socio-environmental considerations into project assessment models using multi-criteria analysis: A case study of Sri Lankan hydropower projects. Energy Policy 2013, 59, 643–653. [Google Scholar] [CrossRef]
  59. Mainali, B.; Pachauri, S.; Rao, N.D.; Silveira, S. Assessing rural energy sustainability in developing countries. Energy Sustain. Dev. 2014, 19, 15–28. [Google Scholar] [CrossRef]
  60. Ilskog, E. Indicators for assessment of rural electrification—An approach for the comparison of apples and pears. Energy Policy 2008, 36, 2665–2673. [Google Scholar] [CrossRef]
  61. López-González, A.; Domenech, B.; Ferrer-Martí, L. Formative evaluation of sustainability in rural electrification programs from a management perspective: A case study from Venezuela. Renew. Sustain. Energy Rev. 2018, 95, 95–109. [Google Scholar] [CrossRef]
  62. Mangla, S.K.; Luthra, S.; Jakhar, S.; Gandhi, S.; Muduli, K.; Kumar, A. A step to clean energy—Sustainability in energy system management in an emerging economy context. J. Clean. Prod. 2020, 242, 118462. [Google Scholar] [CrossRef]
  63. Ren, J.; Dong, L. Evaluation of electricity supply sustainability and security: Multi-criteria decision analysis approach. J. Clean. Prod. 2018, 172, 438–453. [Google Scholar] [CrossRef]
  64. Yadoo, A.; Cruickshank, H. The role for low carbon electrification technologies in poverty reduction and climate change strategies: A focus on renewable energy mini-grids with case studies in Nepal, Peru and Kenya. Energy Policy 2012, 42, 591–602. [Google Scholar] [CrossRef]
  65. Shortall, R.; Davidsdottir, B.; Axelsson, G. Geothermal energy for sustainable development: A review of sustainability impacts and assessment frameworks. Renew. Sustain. Energy Rev. 2015, 44, 391–406. [Google Scholar] [CrossRef]
  66. Jiang, Q.; Liu, Z.; Liu, W.; Li, T.; Cong, W.; Zhang, H.; Shi, J. A principal component analysis based three-dimensional sustainability assessment model to evaluate corporate sustainable performance. J. Clean. Prod. 2018, 187, 625–637. [Google Scholar] [CrossRef]
  67. How, B.S.; Lam, H.L. Sustainability evaluation for biomass supply chain synthesis: Novel principal component analysis (PCA) aided optimisation approach. J. Clean. Prod. 2018, 189, 941–961. [Google Scholar] [CrossRef]
  68. Mapar, M.; Jafari, M.J.; Mansouri, N.; Arjmandi, R.; Azizinezhad, R.; Ramos, T.B. A composite index for sustainability assessment of health, safety and environmental performance in municipalities of megacities. Sustain. Cities Soc. 2020, 60, 102164. [Google Scholar] [CrossRef]
  69. Chelan, M.M.; Alijanpour, A.; Barani, H.; Motamedi, J.; Azadi, H.; Van Passel, S. Economic sustainability assessment in semi-steppe rangelands. Sci. Total. Environ. 2018, 637-638, 112–119. [Google Scholar] [CrossRef]
  70. Cui, C.-Q.; Wang, B.; Zhao, Y.-X.; Wang, Q.; Sun, Z.-M. China’s regional sustainability assessment on mineral resources: Results from an improved analytic hierarchy process-based normal cloud model. J. Clean. Prod. 2019, 210, 105–120. [Google Scholar] [CrossRef]
  71. Sala, S.; Ciuffo, B.; Nijkamp, P. A systemic framework for sustainability assessment. Ecol. Econ. 2015, 119, 314–325. [Google Scholar] [CrossRef]
  72. Shaaban, M.; Scheffran, J. Selection of sustainable development indicators for the assessment of electricity production in Egypt. Sustain. Energy Technol. Assess. 2017, 22, 65–73. [Google Scholar] [CrossRef]
  73. Sadeghi, A.; Larimian, T. Sustainable electricity generation mix for Iran: A fuzzy analytic network process approach. Sustain. Energy Technol. Assess. 2018, 28, 30–42. [Google Scholar] [CrossRef]
  74. Jadoon, T.R.; Ali, M.K.; Hussain, S.; Wasim, A.; Jahanzaib, M. Sustaining power production in hydropower stations of developing countries. Sustain. Energy Technol. Assess. 2020, 37, 100637. [Google Scholar] [CrossRef]
  75. World Energy Council; Wyman, O. World Energy Trilemma Index 2018. 2018. Available online: www.worldenergy.org (accessed on 2 January 2019).
  76. Bhatia, M.; Angelou, N. Beyond Connections Energy Access Redefined; World Bank: Washington, DC, USA, 2015. [Google Scholar]
  77. Bebbington, J.; Unerman, J. Achieving the United Nations Sustainable Development Goals: An enabling role for accounting research. Account. Audit. Account. J. 2018, 31, 2–24. [Google Scholar] [CrossRef]
  78. United Nations. Transforming our World: The 2030 Agenda for Sustainable Development; United Nations: New York, NY, USA, 2016. [Google Scholar]
  79. World Energy Council and Wyman Oliver. Trilemma Index 2019; World Energy Council and Wyman Oliver: London, UK, 2019; pp. 1–79. [Google Scholar]
  80. López-González, A.; Ferrer-Martí, L.; Domenech, B. Sustainable rural electrification planning in developing countries: A proposal for electrification of isolated communities of Venezuela. Energy Policy 2019, 129, 327–338. [Google Scholar] [CrossRef]
  81. Tomei, J.; Gent, D. Equity and The Energy Trilemma: Delivering Sustainable Energy Access in Low-Income Communities; International Institute for Environment and Development: London, UK, 2015. [Google Scholar]
  82. Song, L.; Fu, Y.; Zhou, P.; Lai, K.K. Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis. Energy Econ. 2017, 66, 313–319. [Google Scholar] [CrossRef]
  83. Setyowati, A.B. Mitigating Energy Poverty: Mobilizing Climate Finance to Manage the Energy Trilemma in Indonesia. Sustainability 2020, 12, 1603. [Google Scholar] [CrossRef] [Green Version]
  84. Zafeiratou, E.; Spataru, C. Sustainable island power system—Scenario analysis for Crete under the energy trilemma index. Sustain. Cities Soc. 2018, 41, 378–391. [Google Scholar] [CrossRef]
  85. Cloke, J.; Mohr, A.; Brown, E. Imagining renewable energy: Towards a Social Energy Systems approach to community renewable energy projects in the Global South. Energy Res. Soc. Sci. 2017, 31, 263–272. [Google Scholar] [CrossRef] [Green Version]
  86. Rahman, M.; Paatero, J.V.; Poudyal, A.; Lahdelma, R. Driving and hindering factors for rural electrification in developing countries: Lessons from Bangladesh. Energy Policy 2013, 61, 840–851. [Google Scholar] [CrossRef] [Green Version]
  87. Mesina, A.J.F. Rethinking off-grid rural electrification in the Philippines. Energy Sources Part B Econ. Plan. Policy 2016, 11, 815–823. [Google Scholar] [CrossRef]
  88. Sotto, F.; Gatus, J.; Ross, M.; Portigo, M.F.; Freire, F. Coastal Environmental Profile of Olango Island, Cebu, Philippines; Coastal Resource Management Project: Cebu City, Philippines, 2001. [Google Scholar]
  89. Philippine Information Agency. Romblon. Available online: https://pia.gov.ph/provinces/romblon (accessed on 29 December 2018).
  90. Asian Development Bank. Romblon’s Cobrador Island Gets 24-Hour Power from New Hybrid Solar-Diesel System. 2016. Available online: https://www.adb.org/news/romblon-s-cobrador-island-gets-24-hour-power-new-hybrid-solar-diesel-system (accessed on 29 December 2018).
  91. International Atomic Energy Agency; United Nations Department of Economics and Social Affairs, International Energy Agency; Eurostat, and European Environment Agency. Energy Indicators for Sustainable Development: Guidelines and Methodologies; International Atomic Energy Agency; United Nations Department of Economics and Social Affairs, International Energy Agency; Eurostat, and European Environment Agency: Vienna, Austria.
  92. Abdullah, S.; Markandya, A. Rural electrification programmes in Kenya: Policy conclusions from a valuation study. Energy Sustain. Dev. 2012, 16, 103–110. [Google Scholar] [CrossRef]
  93. Palit, D.; Chaurey, A. Off-grid rural electrification experiences from South Asia: Status and best practices. Energy Sustain. Dev. 2011, 15, 266–276. [Google Scholar] [CrossRef]
  94. Yadoo, A.; Cruickshank, H. The value of cooperatives in rural electrification. Energy Policy 2010, 38, 2941–2947. [Google Scholar] [CrossRef]
  95. Department of Energy. 2016–2030 Philippine Energy Plan; Department of Energy: Manila, Philippines, 2016. [Google Scholar]
Figure 1. Categories of Sustainability Assessment Tools. Adapted from Gasparatos and Scolobig (2012) [32].
Figure 1. Categories of Sustainability Assessment Tools. Adapted from Gasparatos and Scolobig (2012) [32].
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Figure 2. Conceptual Framework.
Figure 2. Conceptual Framework.
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Figure 3. Gilutongan and Cobrador islands (courtesy of Google maps).
Figure 3. Gilutongan and Cobrador islands (courtesy of Google maps).
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Figure 4. Concept of exploratory factor analysis.
Figure 4. Concept of exploratory factor analysis.
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Figure 5. Sample 24-h power consumption for all households in Gilutongan and Cobrador Islands.
Figure 5. Sample 24-h power consumption for all households in Gilutongan and Cobrador Islands.
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Figure 6. Scree plots for Gilutongan and Cobrador.
Figure 6. Scree plots for Gilutongan and Cobrador.
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Table 1. Sustainable development indicators.
Table 1. Sustainable development indicators.
IndicatorDimensionDefinitionMeasurementReferences
I1Adequacy of electricity supplyTechnicalAbility of users to use electricity for lighting and powering up household electrical appliancesActual electrical appliances used in the household[33,34,35]
I2Reliability of serviceTechnicalAvailability of electricity service at expected timesNumber of power disruptions experienced by users[33,34,35,76]
I3Duration of supplyTechnicalLength of time electricity supply is availableNumber of hours electricity is available[76]
I4Safety and security of the systemTechnical, SocialElectricity has not caused accidents to human or to electrical appliancesActual number of accidents related to electricity[76]
I5Affordability of tariffEconomicThe cost of electricity should not exceed 5% of the household’s gross monthly incomeActual cost of electricity as a proportion to household gross income[76,91]
I6Support for household incomeEconomic, SocialAbility of users to use electricity for productive meansNumber of households using electricity for income-generating activities[92,93,94]
I7Displacement of conventional fuels for lightingEnvironmentalUsers should be able to use electricity for lighting in lieu of conventional fuelsProportion of households who no longer use conventional fuels for lighting[91]
I8Electricity sourceEnvironmentalRenewable energy should be an alternative source of electricityActual sources of electricity[76]
Table 2. Sample population per island.
Table 2. Sample population per island.
IslandTotal Household PopulationSample Population
Cobrador Island244 a149
Gilutongan Island342 b181
a Household population from ADB [92]. b Household population based on 2017 barangay census of Gilutongan Island.
Table 3. Scoring matrix for sustainability assessment.
Table 3. Scoring matrix for sustainability assessment.
IndicatorLow (1)Moderate (2)High (3)
I1Adequacy of supplyUses electricity only for lightingUses electricity for lighting, TV, fanUses electricity for lighting, TV, fan, cooking, refrigeration
I2Reliability of servicesMore than 3 power disruptions per week-At most 3 power outages per week
I3Duration of supplyLess than 8 h electricity supplyBetween 8 to 12 h of electricity supply24-h electricity supply
I4Safety and security of systemAccidents attributed to electricity-No accidents attributed to electricity
I5Affordability of tariffElectricity cost >10% of gross monthly incomeElectricity cost between 5% to 10% of income Electricity cost <5% of gross monthly income
I6Support for household incomeDoes not use electricity for productive means-Uses electricity for productive means
I7Displacement of conventional fuels for lightingStill uses conventional fuels for lightin-No longer use conventional fuels for lighting
I8Electricity sourceElectricity sourced from conventional fuels-Electricity is sourced from conventional fuels and renewable energy sources
Table 4. Component Matrix for Gilutongan.
Table 4. Component Matrix for Gilutongan.
IndicatorFactor
123
I3Duration of supply0.682
I8Electricity source0.644
I4Safety and security of electrical system−0.471
I7Displacement of conventional fuels for lighting 0.800
I6Support for household income 0.646
I1Adequacy of supply 0.747
I2Reliability of service 0.549
I5Affordability of tariff −0.525
Table 5. Component Matrix for Cobrador.
Table 5. Component Matrix for Cobrador.
IndicatorFactor
1234
I8Electricity source0.885
I3Duration of supply0.840
I1Adequacy of supply 0.757
I5Affordability of tariff −0.716
I6Support for household income 0.828
I7Displacement of conventional fuels for lighting −0.573
I4Safety and security of electrical system −0.830
I2Reliability of service 0.585
Table 6. Descriptive statistics for Gilutongan and Cobrador.
Table 6. Descriptive statistics for Gilutongan and Cobrador.
FactorGilutonganCobrador
NMinMaxMeanStd DevNMinMaxMeanStd Dev
Factor 11731.002.331.5490.3731401.003.002.8970.382
Factor 21731.003.001.4570.6421401.003.002.0470.367
Factor 31731.332.672.2000.2851401.003.002.5260.567
Factor 4-----1402.003.002.7500.435
Average (OSI) 1.735 2.49
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Lozano, L.; Taboada, E.B. The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines? Energies 2021, 14, 2705. https://doi.org/10.3390/en14092705

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Lozano L, Taboada EB. The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines? Energies. 2021; 14(9):2705. https://doi.org/10.3390/en14092705

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Lozano, Lorafe, and Evelyn B. Taboada. 2021. "The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines?" Energies 14, no. 9: 2705. https://doi.org/10.3390/en14092705

APA Style

Lozano, L., & Taboada, E. B. (2021). The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines? Energies, 14(9), 2705. https://doi.org/10.3390/en14092705

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