Measuring the Implementation of the Agenda 2030 Vision in Its Comprehensive Sense: Methodology and Tool
Abstract
:1. Introduction
2. An Advancing Paradigm of Human Development
3. An Optimum Method for Measuring Sustainable Human Development
3.1. Direct Measurement Method
3.2. Indirect Measurement Method
3.3. Selection of the Optimum Measurement Method
- The Agenda 2030 general vision—“achieving sustainable development in its three dimensions—economic, social and environmental”—describes not only the development process but, firstly, the result achieved. Thus, respect is given to the principle already defined in the 1st Human Development Report [13]: “Human development has two sides: the formation of human capabilities—such as improved health, knowledge and skills—and the use people make of their acquired capabilities”. The indirect measurement method makes it possible to create the AHDI by aggregating the indicators characterizing the results achieved in various dimensions of sustainable human development; this opportunity should be appreciated.
- Assuming that any of the 17 SDGs, 169 targets and 232 indicators is, to some extent, the driving force of the Agenda 2030 vision, it is necessary to consider all indicators in the sustainable human development measurement process, if the bottom-up method is used. Many of these indicators could be insignificant and could be dropped, but which ones? It would be worthwhile to determine them using data mining methods, but before that, data on all indicators are necessary. While data for many indicators are not available, several indicators are not quantifiable at all, this is a fundamental obstacle to obtaining an adequate measurement. Applying the top-down method does not result in such a problem if appropriate result-oriented indices are used to describe dimensions of sustainable human development.
- The interlinkages and integrated nature of the SDGs are of crucial importance when implementing the Agenda 2030 vision; an indivisible, integrated approach is one of the basic principles of Agenda 2030: “As already pointed out, many of the goals included in the SDGs are multidimensional, covering more than one dimension of sustainability. Many synergies and complementarities can exist among the different SDGs. But trade-offs are also possible where improvements in one dimension could trigger negative results in another” [36]. When aggregating many individual indicators in a composite index, these features may be lost. When working with the resulting data, they will be considered.
4. Methodology and the AHDI Calculation
- Heredity, evolution rather than revolution; in creating the HDI as a substitute of GDP, the very popular GDP was not discarded. It was included in the set of HDI dimension indexes, supplemented by the longevity and knowledge indexes. There is neither reason nor need to stop using this principle in the future. Usage of the HDI, which is globally accepted at the expert and political level, is expedient in the creation of the AHDI to describe social and economic dimensions. Significantly, all described indirect measurement proposals are designed exactly by supplementing the HDI with some environmental indicators.
- Simplicity of the indicator and the use of few dimension indices provides understanding to non-economists, politicians and the community, which is important for political decision-making. The main advantage of GDP, which has enabled it to gain a strong political acceptance and become “the most powerful statistical figure in human history” [41], is its simplicity of use. Likewise, “the HDI’s simplicity, coupled with the transparency assured by the utilization of data published by international organizations, has been one of the main drivers behind the success of the HDI in the past twenty years” [58]. The aspect of simplicity in creating the AHDI should not be underestimated; the design of AHDI, using only a few indicators, will contribute to its popularity. Only one comprehensive headline indicator should be chosen to characterize the environmental dimension.
- An important feature of HDI’s design is its unity and concordance of all three dimension indices; this is confirmed by strong positive correlations between the indices (Table 1). In turn, the HDI methodology guarantees a balanced effect of the dimension indices on the HDI value. An equal weight of united and consistent dimension indicators in the AHDI is the best decision following Agenda 2030’s politically accepted settings on development in a “balanced and integrated manner”.
- Any dimension indicator should provide the fullest possible coverage of the aspects of the Agenda 2030 dimension concerned. The chosen environmental indicator should also cover various aspects of environment pollution, degradation and preservation; given the diversity of environmental aspects, an integrated dimension index will have to be used in practice.
- There is no rational reason for developing a new comprehensive environmental index; instead, it is desirable to use a stable existing index that is elaborated by high-level experts and that is already politically accepted.
5. Results and Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Tvaronaviciene, M. Towards sustainable and secure development: Energy efficiency peculiarities in transport sector. J. Secur. Sustain. Issues 2018, 7, 719–725. [Google Scholar] [CrossRef]
- Kaya, Y.; Yokobori, K. (Eds.) Energy and Economy. In Global Energy Assessment (Toward a Sustainable Future); Cambridge University Press: Cambridge, UK; New York, NY, USA, 2012; pp. 385–423. [Google Scholar]
- Opinion of the European Economic and Social Committee on the ‘Proposal for a Decision of the Council on a Supplementary Research Programme for the ITER Project (2014–2018). Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:C:2012:229:0060:0063:EN:PDF (accessed on 20 December 2020).
- International Institute for Applied Systems Analysis. Available online: https://iiasa.ac.at/web/home/research/researchPrograms/Energy/About-Energy-Program.en.html (accessed on 20 December 2020).
- Santoyo-Castelazo, E.; Azapagic, A. Sustainability assessment of energy systems: Integrating environmental, economic and social aspects. J. Clean. Prod. 2014, 80, 119–138. [Google Scholar] [CrossRef]
- Birol, F.; International Energy Agency. Energy Is at the Hearth of the Sustainable Development Agenda to 2030. 2018. Available online: https://www.iea.org/commentaries/energy-is-at-the-heart-of-the-sustainable-development-agenda-to-2030 (accessed on 20 December 2020).
- Oxford Learner’s Dictionaries. Available online: https://www.oxfordlearnersdictionaries.com (accessed on 20 December 2020).
- Rabie, M. A Theory of Sustainable Sociocultural and Economic Development; Palgrave Macmillan: London, UK, 2016; p. 243. [Google Scholar]
- Coyle, D. GDP; a Brief but Affectionate History; Princeton University Press: Princeton, NJ, USA; Oxford, MS, USA, 2015; p. 184. [Google Scholar]
- Kennedy, J.F. Remarks at the University of Kansas. 1968. Available online: https://www.jfklibrary.org/learn/about-jfk/the-kennedy-family/robert-f-kennedy/robert-f-kennedy-speeches/remarks-at-the-university-of-kansas-march-18-1968 (accessed on 20 December 2020).
- Seers, D. What are We Trying to Measure? In Measuring Development; the Role and Adequacy of Development Indicator; Baster, N., Ed.; Routledge: Abingdon, UK, 1972; pp. 21–36. [Google Scholar]
- Morse, S. Indices and Indicators in Development: An Unhealthy Obsession with Numbers; Earthscan Publications: London, UK, 2013; p. 224. [Google Scholar]
- UN Development Programme. Human Development Report 1990: Concept and Measurement of Human Development. Available online: http://hdr.undp.org/en/reports/global/hdr1990 (accessed on 20 December 2020).
- de Boer, B.; Hueting, R. Sustainable National Income and Multiple Indicators for Sustainable Development. In Measuring Sustainable Development; Integrated Economic, Environmental and Social Frameworks; OECD Publishing: Paris, France, 2004; pp. 39–52. [Google Scholar]
- United Nations Sustainable Development; Agenda 21. UN General Assembly. Available online: https://sustainabledevelopment.un.org/content/documents/Agenda21.pdf (accessed on 20 December 2020).
- Resolution Adopted by the General Assembly on 25 September 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. UN General Assembly. Available online: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (accessed on 20 December 2020).
- Jacob, A. Mind the Gap: Analysing the Impact of Data Gap in Millennium Development Goals’ (MDGs) Indicators on the Progress toward MDGs. World Dev. 2017, 93, 260–278. [Google Scholar] [CrossRef]
- Balkyte, A.; Tvaronaviciene, M. Perception of competitiveness in the context of sustainable development: Facets of “Sustainable competitiveness”. J. Bus. Econ. Manag. 2010, 11, 341–365. [Google Scholar] [CrossRef] [Green Version]
- Cizo, E.; Lavrinenko, O.; Ignatjeva, S. Analysis of the relationship between financial development and economic growth in the EU countries. Insights Reg. Dev. 2020, 2, 645–660. [Google Scholar] [CrossRef]
- Worldwide Cost of Living 2020: How is Covid-19 Affecting the Prices of Consumer Goods? The Economist Intelligence Unit. Available online: https://www.eiu.com/ (accessed on 20 December 2020).
- Sachs, J.; Schmidt-Traub, G.; Kroll, C.; Lafortune, G.; Fuller, G.; Woelm, F. Sustainable Development Report 2020; The Sustainable Development Goals and COVID-19; Cambridge University Press: Cambridge, UK, 2020; pp. 1–99. [Google Scholar]
- Saltelli, A. Composite Indicators between Analysis and Advocacy. Soc. Indic. Res. 2007, 81, 5–77. [Google Scholar] [CrossRef]
- Measuring Progress. In Prototype Global Sustainable Development Report; UN Department of Economic and Social Affairs, Division for Sustainable Development: New York, NY, USA, 2014; pp. 73–92. Available online: http://sustainabledevelopment.un.org/globalsdreport/2014 (accessed on 20 December 2020).
- UN Department of Economic and Social Affairs. Sustainable Development Goal 17. Available online: https://sdgs.un.org/goals/goal17 (accessed on 20 December 2020).
- Costanza, R.; Daly, L.; Fioramonti, L.; Giovannini, E.; Kubiszewski, I.; Mortensen, L.F.; Pickett, K.E.; Ragnarsdottir, K.V.; De Vogli, R.; Wilkinson, R. Modelling and Measuring Sustainable Wellbeing in Connection with the UN Sustainable Development Goals. Ecol. Econ. 2016, 130, 350–355. [Google Scholar] [CrossRef]
- Bewoor, A.K.; Kulkarni, V.A. Metrology and Measurement; Tata McGraw-Hill Education: New Delhi, India, 2009; pp. 1–21. [Google Scholar]
- Resolution Adopted by the General Assembly on 6 July 2017: Work of the Statistical Commission Pertaining to the 2030 Agenda for Sustainable Development. UN General Assembly. 2017. Available online: http://ggim.un.org/documents/A_RES_71_313.pdf (accessed on 20 December 2020).
- Sustainable Development in the European Union; Monitoring Report on Progress towards the SDGs in an EU Context, 2020 ed.; Publications Office of the European Union: Luxembourg, 2020; pp. 1–34.
- Eurostat. Sustainable Development Indicators. Available online: https://ec.europa.eu/eurostat/data/database (accessed on 20 December 2020).
- SDG Summit 2019; Summary of the President of the General Assembly. UN General Assembly. 2019. Available online: https://sustainabledevelopment.un.org/content/documents/25200SDG_Summary.pdf (accessed on 20 December 2020).
- OECD. Measuring Distance to the SDG Targets; an Assessment of where OECD Countries Stand. 2017. Available online: http://www.oecd.org/sdd/OECD-Measuring-Distance-to-SDG-Targets.pdf (accessed on 20 December 2020).
- Moyer, J.D.; Hedden, S. Are we on the right path to achieve the sustainable development goals? World Dev. 2020, 127, 104749. [Google Scholar] [CrossRef]
- Flint, R.W. Practice of Sustainable Community Development. In Basics of Sustainable Development; Springer: New York, NY, USA; Heidelberg, Germany, 2013; pp. 25–54. [Google Scholar]
- Bennich, T.; Weitz, N.; Carlsen, H. Deciphering the scientific literature on SDG interactions: A review and reading guide. Sci. Total Environ. 2020, 728, 138405. [Google Scholar] [CrossRef] [PubMed]
- Barbier, E.B.; Burgess, J.C. Sustainable development goal indicators: Analyzing trade-offs and complementarities. World Dev. 2019, 122, 295–305. [Google Scholar] [CrossRef]
- Miola, A.; Schiltz, F. Measuring sustainable development goals performance: How to monitor policy action in the 2030 Agenda implementation? Ecol. Econ. 2019, 164, 106373. [Google Scholar] [CrossRef] [PubMed]
- Papadimitriou, E.; Neves, A.R.; Becker, W. JRC Statistical Audit of the Sustainable Development Goals Index and Dashboards [Technical Report]; Joint Research Centre. Publication Office of the EU: Luxembourg, 2019; pp. 1–30. [Google Scholar]
- Eustachio, J.H.; Caldana, A.C.; Liboni, L.B.; Martinelli, D.P. Systemic Indicator of Sustainable Development: Proposal and Application of a Framework. J. Clean. Prod. 2019, 241, 118383. [Google Scholar] [CrossRef]
- Kynclova, P.; Upadhyaya, S.; Nice, T. Composite Index as a Measure on Achieving Sustainable Development Goal 9 (SDG-9) Industry-related Targets: The SDG-9 Index. Appl. Energy 2020, 265, 114755. [Google Scholar] [CrossRef]
- Callen, T.; International Monetary Fund. Gross Domestic Product: An Economy’s All. Available online: https://www.imf.org/external/pubs/ft/fandd/basics/gdp.htm (accessed on 20 December 2020).
- Fioramonti, L. Gross Domestic Problem: The Politics Behind the World’s Most Powerful Number; Zed Books: London, UK; New York, NY, USA, 2013; p. 208. [Google Scholar]
- Lepenies, P. The Power of a Single Number, a Political History of GDP; Columbia University Press: New York, NY, USA, 2016; p. 208. [Google Scholar]
- Klasen, S.; UN Human Development Report Office. Human Development Indices and Indicators: A Critical Evaluation [Background Paper]. 2018. Available online: http://hdr.undp.org/sites/default/files/klasen_final.pdf (accessed on 20 December 2020).
- Mazzanti, M.; Mazzarano, M.; Pronti, A.; Quatrosi, M. Fiscal policies, public investments and wellbeing: Mapping the evolution of the EU. Insights Reg. Dev. 2020, 2, 725–749. [Google Scholar] [CrossRef]
- UN Development Programme. Human Development Report 2020; Statistical Annex. Available online: http://hdr.undp.org/sites/default/files/hdr2020.pdf (accessed on 20 December 2020).
- Prakash, R.; Garg, P. Comparative assessment of HDI with Composite Development Index (CDI). Insights Reg. Dev. 2019, 1, 58–76. [Google Scholar] [CrossRef]
- Togtokh, C.; Gaffney, O.; UN University. Human Sustainable Development Index. 2010. Available online: https://ourworld.unu.edu/en/the-2010-human-sustainable-development-index (accessed on 20 December 2020).
- Bravo, G. The Human Sustainable Development Index: New Calculations and a First Critical Analysis. Ecol. Indic. 2014, 37, 145–150. [Google Scholar] [CrossRef]
- World Wildlife Fund. Ecological Footprint. 2020. Available online: https://wwf.panda.org/knowledge_hub/all_publications/ecological_footprint2/ (accessed on 20 December 2020).
- Zhu, D.; Zhanga, S.; Sutton, D.B. Linking Daly’s Proposition to Policymaking for Sustainable Development: Indicators and Pathways. J. Clean. Prod. 2015, 102, 333–341. [Google Scholar] [CrossRef]
- Hickel, J. The Sustainable Development Index: Measuring the Ecological Efficiency of Human Development in the Anthropocene. Ecol. Econ. 2020, 167, 106331. [Google Scholar] [CrossRef]
- Environmental Performance Index. 2020. Available online: https://epi.yale.edu/downloads (accessed on 20 December 2020).
- Papadimitriou, E.; Neves, A.R.; Saisana, M. JRC Statistical Audit of the 2020 Environmental Performance Index [Technical Report]; Joint Research Centre, Publication Office of the EU: Luxembourg, 2020; p. 24. [Google Scholar]
- Maccari, N. Environmental Sustainability and Human Development: A Greening of Human Development Index. 2014. Available online: https://ssrn.com/abstract=2426073 (accessed on 20 December 2020).
- Pinter, L.; Hardi, P.; Bartelmus, P. Sustainable Development Indicators; Proposals for the Way Forward (Discussion Paper). International Institute for Sustainable Development. 2005. Available online: https://www.iisd.org/pdf/2005/measure_indicators_sd_way_forward.pdf (accessed on 20 December 2020).
- Handbook on Constructing Composite Indicators; OECD Publications: Paris, France, 2008; Available online: https://www.oecd.org/sdd/42495745.pdf (accessed on 20 December 2020).
- Kwatra, S.; Kumar, A.; Sharma, P. A Critical Review of Studies Related to Construction and Computation of Sustainable Development Indices. Ecol. Indic. 2020, 112, 106061. [Google Scholar] [CrossRef]
- Klugman, J.; Rodríguez, F.; Choi, H. The HDI 2010: New Controversies, Old Critiques. J. Econ. Inequal. 2011, 9, 249–288. [Google Scholar] [CrossRef]
- Hair, J.F.; Babin, J.B.; Anderson, R.E.; Black, W.C. Multivariate Data Analysis. In Multiple Regression, 8th ed.; Cengage Learning EMEA: London, UK, 2018; pp. 246–314. [Google Scholar]
Income Index | Life Index | Education Index | |
---|---|---|---|
Income index | xxx | 0.8411 | 0.8675 |
Life index | xxx | 0.8193 | |
Education index | xxx |
Postulates | HSDI | EWP | SDI | EHDI |
---|---|---|---|---|
Heredity, usage of the globally accepted HDI | 2 | 2 | 1 | 2 |
Simplicity, a small set of “headline indicators” | 2 | 2 | 0 | 2 |
Balanced and integrated, united and consistent set of dimension indicators | 2 | 0 | 0 | 1 |
Wide coverage of environment pollution, degradation and preservation | 0 | 1 | 1 | 2 |
Existing and politically accepted environmental index/indicator | 2 | 1 | 0 | 2 |
Indicators | Minimum | Maximum | ||
---|---|---|---|---|
Actual National Values | Threshold Values | Actual National Values | Threshold Values | |
Life expectancy at birth (years) | 53.3 | 20 | 83.6 | 85 |
Expected years of schooling (years) | 5 | 0 | 22 | 18 |
Mean years of schooling (years) | 1.6 | 0 | 14.2 | 15 |
Gross national income per capita ($ PPS 2017) | 754 | 100 | 88,155 | 75,000 |
Environment Performance Index | 22.6 | 20 | 82.5 | 90 |
Composite Indexes | Dimension Indices | |||
---|---|---|---|---|
Income | Life | Education | Environment | |
HDI | 0.9589 | 0.9113 | 0.9607 | xxx |
AHDI | 0.9281 | 0.8841 | 0.9359 | 0.9614 |
Dimension Indexes | Income Index | Life Index | Education Index | Environment Index |
---|---|---|---|---|
Pearson Correlation Coefficients | ||||
Income index | xxx | 0.8411 | 0.8675 | 0.8345 |
Life index | 3.42 | xxx | 0.8193 | 0.7981 |
Education index | 4.04 | 2.91 | xxx | 0.8462 |
Environment index | 3.29 | 2.75 | 3.52 | xxx |
Variance Inflation Factors (VIF) |
Categories of Development | Cut Off Points | Number of Countries | ||||
---|---|---|---|---|---|---|
HDI | AHDI | HDI | Shift Down | Shift Up | AHDI | |
Very high | 62 | 60 | ||||
0.8 | 0.67 | 8 ↓ | 6 ↑ | |||
High | 50 | 49 | ||||
0.7 | 0.55 | 6 ↓ | 3 ↑ | |||
Medium | 36 | 38 | ||||
0.55 | 0.41 | 4 ↓ | 3 ↑ | |||
Low | 31 | 32 |
Country | Waste Management | Air Quality | Pollution | Ecosystem | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Growth Rates | CHG pc | Nitrogen | Biodiversity | ||||||||||
Solid Waste | Waste-Water | Ozone | PM2.5 | CO2 | SO2 | NOx | CH4 | N2O | Black Carbon | ||||
Bahamas | 133 | 100 | 137 | 168 | 162 | 107 | 125 | 172 | 131 | 168 | |||
Barbados | 104 | 159 | 164 | 170 | 177 | ||||||||
Georgia | 133 | 113 | 119 | 109 | 176 | 174 | 130 | 148 | 163 | 126 | |||
Kazakhstan | 124 | 167 | 138 | 177 | 105 | 127 | 170 | 128 | |||||
Mauritius | 123 | 101 | 131 | 131 | 154 | 170 | |||||||
Oman | 133 | 135 | 171 | 134 | 157 | 133 | 172 | 172 | 168 | 159 | |||
Qatar | 150 | 169 | 160 | 134 | 177 | 174 | 172 | 172 | 134 | 129 | |||
Turkey | 113 | 160 | 117 | 110 | 174 | 175 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Karnitis, E.; Bicevskis, J.; Karnitis, G. Measuring the Implementation of the Agenda 2030 Vision in Its Comprehensive Sense: Methodology and Tool. Energies 2021, 14, 856. https://doi.org/10.3390/en14040856
Karnitis E, Bicevskis J, Karnitis G. Measuring the Implementation of the Agenda 2030 Vision in Its Comprehensive Sense: Methodology and Tool. Energies. 2021; 14(4):856. https://doi.org/10.3390/en14040856
Chicago/Turabian StyleKarnitis, Edvins, Janis Bicevskis, and Girts Karnitis. 2021. "Measuring the Implementation of the Agenda 2030 Vision in Its Comprehensive Sense: Methodology and Tool" Energies 14, no. 4: 856. https://doi.org/10.3390/en14040856
APA StyleKarnitis, E., Bicevskis, J., & Karnitis, G. (2021). Measuring the Implementation of the Agenda 2030 Vision in Its Comprehensive Sense: Methodology and Tool. Energies, 14(4), 856. https://doi.org/10.3390/en14040856