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19 pages, 1584 KiB

Open AccessArticle

A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight

by Yangxuan Liu, Michael R. Langemeier, Ian M. Small, Laura Joseph, William E. Fry, Jean B. Ristaino, Amanda Saville, Benjamin M. Gramig and Paul V. Preckel

Sustainability 2018, 10(9), 3108; https://doi.org/10.3390/su10093108 - 31 Aug 2018

Cited by 7 | Viewed by 4106

Abstract

Precision agriculture technology can transform farming related data into useful information, which may lead to more efficient usage of agricultural resources and increase sustainability. This paper compares precision agriculture technology with traditional practices in scheduling fungicide application so as to manage late blight [...] Read more.

Precision agriculture technology can transform farming related data into useful information, which may lead to more efficient usage of agricultural resources and increase sustainability. This paper compares precision agriculture technology with traditional practices in scheduling fungicide application so as to manage late blight disease in tomato production. The following three fungicide scheduling strategies were evaluated: a calendar-based strategy, the BlightPro Decision Support System based strategy (DSS-based strategy), and a strategy that does not involve fungicide application. The data from field trials and computer simulation experiments were used to construct distributions of the net return per acre for the calendar-based and the DSS-based strategies. These distributions were then compared using three standard approaches to ranking risky alternatives, namely: stochastic dominance, stochastic dominance with respect to a function, and stochastic efficiency with respect to a function. Assuming no yield differences between the calendar-based and the DSS-based strategies, the calendar-based strategy was preferred for highly late blight susceptible cultivars, and the DSS-based strategy was preferred for moderately susceptible and moderately resistant cultivars. Assuming no yield differences, the value of the BlightPro Decision Support System ranged from −$28 to $48 per acre. With the yield improvement for the DSS-based strategy included, the DSS-based strategy was preferred for the cultivars in all of the disease-resistance categories with the value ranging from $496 to $1714 per acre. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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15 pages, 923 KiB

Open AccessArticle

How Social Capital Affects the Quality Performance of Agricultural Products: Evidence from a Binary Perspective of China

by Shaoling Fu, Hua Liu, Kim Hua Tan, Yuanzhu Zhan, Yalan Ding and Wene Qi

Sustainability 2018, 10(9), 3009; https://doi.org/10.3390/su10093009 - 24 Aug 2018

Cited by 4 | Viewed by 3598

Abstract

Improving the quality of agricultural products is the key factor in promoting agricultural development in the Belt and Road program. Although many studies have investigated the relationship between social capital and performance, the findings are inconsistent. Moreover, the mechanism of how social capital [...] Read more.

Improving the quality of agricultural products is the key factor in promoting agricultural development in the Belt and Road program. Although many studies have investigated the relationship between social capital and performance, the findings are inconsistent. Moreover, the mechanism of how social capital affects the quality performance of agricultural products remains unclear. Accordingly, this study developed a theoretical model with propositions from a social capital-quality performance of agricultural products paradigm for examining and comparing the three dimensions of social capital: The relationships among cognitive (measured by shared values), relational (measured by reciprocity) and structural (measured by communication), and their role in ensuring quality performance of agricultural products from the company and farmer perspectives. This study selected the companies and farmers in “A company + farmers” model. The data analysis is based on a sample of 184 companies and 414 farmers. The results show that shared values and communication have a significant positive effect on reciprocity. In terms of the influence on reciprocity, communication is higher than shared values from both the corporate and farmer perspectives. The three dimensions of social capital have different effects on quality performance of agricultural products. On the company side, communication and reciprocity in social capital have a significant positive effect on the quality performance of agricultural products, with the order of effect being communication first followed by reciprocity. On the farmer side, reciprocity and shared values have a significant positive effect on the quality performance of agricultural products, with the order of effect being reciprocity first followed by shared values. These findings have positive theoretical and practical significance for companies and farmers aiming to improve the quality of agricultural products. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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20 pages, 285 KiB

Open AccessArticle

A Strategic Knowledge Management Approach to Circular Agribusiness

by Dong-Her Shih, Chia-Ming Lu, Chia-Hao Lee, Yuh-Jiuan M. Parng, Kuo-Jui Wu and Ming-Lang Tseng

Sustainability 2018, 10(7), 2389; https://doi.org/10.3390/su10072389 - 9 Jul 2018

Cited by 14 | Viewed by 3537

Abstract

In this study, we construct a theoretical model for strategic knowledge management in the circular agribusiness industry. Previous studies lack an analysis of strategic knowledge management and sets of measures. Hence, this study applies the fuzzy Technique for Order of Preference by Similarity [...] Read more.

In this study, we construct a theoretical model for strategic knowledge management in the circular agribusiness industry. Previous studies lack an analysis of strategic knowledge management and sets of measures. Hence, this study applies the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (known as fuzzy TOPSIS), and utilizes the interrelationship weights as a parameter to justify the weights and address important attributes. The results demonstrate that strategic knowledge management improves a firm’s competitive advantages through high-level management support. The theoretical and managerial implications are that high-level management support, firm performance, and knowledge management process cycles are the most important strategic knowledge management aspects for improving a firm’s performance in circular agribusiness. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

21 pages, 727 KiB

Open AccessArticle

Exploring the Decisive Risks of Green Development Projects by Adopting Social Network Analysis under Stakeholder Theory

by Li Ma, Lin Wang, Kuo-Jui Wu, Ming-Lang Tseng and Anthony S. F. Chiu

Sustainability 2018, 10(6), 2104; https://doi.org/10.3390/su10062104 - 20 Jun 2018

Cited by 15 | Viewed by 4531

Abstract

The Belt and Road initiatives related to green development projects are being increasingly considered globally. However, such projects face several risks resulting from stakeholder diversity. Although previous studies attempted to identify the risks caused by stakeholders, they found it difficult to provide a [...] Read more.

The Belt and Road initiatives related to green development projects are being increasingly considered globally. However, such projects face several risks resulting from stakeholder diversity. Although previous studies attempted to identify the risks caused by stakeholders, they found it difficult to provide a precise boundary to separate the risks attributable to a single stakeholder. This study adopts social network analysis to explore the decisive risks attributed to each stakeholder by considering a project’s stage. The results reveal that contractors take on the most risk and, thus, require real-time monitoring. Furthermore, all stakeholders need to collaborate with one another during the implementation stage of a project to mitigate the occurrence of risk. This study makes three contributions: it (1) provides a theoretical basis for enhancing the understanding of stakeholder theory; (2) offers specific guidelines for monitoring risks; and (3) enables stakeholders to understand their duties in controlling risks. Detailed discussions are provided in the remainder of the manuscript. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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18 pages, 2909 KiB

Open AccessArticle

Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

by Yan Fang, Yiping Jiang, Lijun Sun and Xingxing Han

Sustainability 2018, 10(5), 1572; https://doi.org/10.3390/su10051572 - 15 May 2018

Cited by 20 | Viewed by 5292

Abstract

The development of Belt and Road has seen a boom of imported fresh agri-products in China. This stimulates the growth of refrigerated transport, which accounts for much more carbon emissions than traditional transport. Designing a sustainable cold chain network is of vital importance [...] Read more.

The development of Belt and Road has seen a boom of imported fresh agri-products in China. This stimulates the growth of refrigerated transport, which accounts for much more carbon emissions than traditional transport. Designing a sustainable cold chain network is of vital importance from both financial and environmental perspectives. In this research, a multi-objective linear programming model is proposed for green cold chain design for multiple imported fresh agri-products in China to balance between the two competing goals—the total cost and carbon emissions. The effect of the outdoor air temperature on the carbon emissions of transportation and maintaining distribution centers is considered. By applying the ε-constraint method, the multi-objective model is solved. Numerical examples derived from the scenario of imported fresh-agri products in China are conducted to shed light on green cold chain design under Belt and Road development. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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13 pages, 1674 KiB

Open AccessArticle

Integrated Harvest and Distribution Scheduling with Time Windows of Perishable Agri-Products in One-Belt and One-Road Context

by Yiping Jiang, Liangqi Chen and Yan Fang

Sustainability 2018, 10(5), 1570; https://doi.org/10.3390/su10051570 - 15 May 2018

Cited by 7 | Viewed by 3241

Abstract

The unique characteristics of perishable agri-products are a short lifespan and rapid quality deterioration. This establishes the need to significantly reduce the time from harvest to distribution. These features require reducing the processing time from harvest to distribution to being as short as [...] Read more.

The unique characteristics of perishable agri-products are a short lifespan and rapid quality deterioration. This establishes the need to significantly reduce the time from harvest to distribution. These features require reducing the processing time from harvest to distribution to being as short as possible. In this study, we focus on an integrated perishable agri-products scheduling problem that combines harvest and distribution simultaneously, with the purpose of reducing processing time and quality decay. We propose this problem as a mixed integer nonlinear programming model (MINLP) to optimize the harvest time and the vehicle routing to consumers, and this MINIP is formulated as a vehicle routing problem with time windows (VRPTW). We introduce a big M method to transform the nonlinear model into a linear model, then apply CPLEX to solve the transformed model. Numerical experiments and sensitive analysis are conducted to verify the efficiency of the proposed model and to provide managerial insights. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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18 pages, 978 KiB

Open AccessArticle

Fairtrade and Sustainability: Motivations for Fairtrade Certification among Smallholder Coffee Growers in Tanzania

by Filippa Pyk and Assem Abu Hatab

Sustainability 2018, 10(5), 1551; https://doi.org/10.3390/su10051551 - 14 May 2018

Cited by 18 | Viewed by 11540

Abstract

Drawing on a survey of 148 Fairtrade-certified smallholder coffee farmers in the Kagera region of Tanzania, a quantitative investigation was performed on the farmers’ motivations for Fairtrade certification. A factor analysis approach was used to analyze the importance of economic, social, and environmental [...] Read more.

Drawing on a survey of 148 Fairtrade-certified smallholder coffee farmers in the Kagera region of Tanzania, a quantitative investigation was performed on the farmers’ motivations for Fairtrade certification. A factor analysis approach was used to analyze the importance of economic, social, and environmental motivations in farmers’ decision-making on Fairtrade-labeled coffee certification. Moreover, three ordered logit models were estimated to assess the determinants of motivational behavior for Fairtrade certification among different socioeconomic groups in the survey sample. Overall, the results indicate that Fairtrade certification is predominantly economically motivated. Particularly, farmers are relatively less environmentally motivated to adopt the Fairtrade system. However, female coffee farmers are significantly more environmentally driven to adopt Fairtrade certification. Surprisingly, the results suggest that farmers’ level of education has no significant influence on their motivation for Fairtrade certification. Moreover, lower-income and smaller-scale coffee farmers are less economically and environmentally motivated for Fairtrade certification. In light of these findings, we suggest that efforts to promote Fairtrade certification among smallholder growers should be designed in ways that balance economic, social, and environmental outcomes. Furthermore, the findings call for targeted measures to strengthen Fairtrade’s commitment to empowering disadvantaged smallholder farmers, including women, to achieve sustainable development goals in the region. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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16 pages, 961 KiB

Open AccessArticle

Consumer Purchase Intentions for Sustainable Wild Salmon in the Chinese Market and Implications for Agribusiness Decisions

by Qiujie Zheng, H. Holly Wang and Yonggang Lu

Sustainability 2018, 10(5), 1377; https://doi.org/10.3390/su10051377 - 28 Apr 2018

Cited by 25 | Viewed by 5949

Abstract

Sustainable food consumption and production play an increasingly important role in improving food security and quality in the food system worldwide. Consumers’ food consumption patterns in China, a rapidly emerging economy with the largest population and one of the largest consumer markets in [...] Read more.

Sustainable food consumption and production play an increasingly important role in improving food security and quality in the food system worldwide. Consumers’ food consumption patterns in China, a rapidly emerging economy with the largest population and one of the largest consumer markets in the world, significantly influence the structure of global trade flows and the sustainable ecosystem and environment. In this paper, we assess the emerging demand for imported wild and sustainable Alaskan salmon fillet and varietal parts in China’s market through consumers’ stated purchase intentions for the products. We use an ordered logit model to link consumers’ purchase intentions with potential influencing factors and identify important factors, including consumers’ consumption habits, perceptions, and social demographic characteristics. Due to differences between western and Chinese consumers on how different parts of fish are consumed, seemingly low-value salmon heads and bones may carry significant value if being imported and sold to Chinese consumers. We believe that our study is an important step in helping to build a sustainable business model, thereby creating a win-win situation for both the importing and exporting countries in order to allocate resources efficiently, feed people with healthy food, avoid food waste, and fulfill the economic value of products. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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14 pages, 828 KiB

Open AccessArticle

The Total Economic Value of Sport Tourism in Belt and Road Development—An Environmental Perspective

by Chun-Chu Yeh, Cheng-Shen Lin and Chin-Huang Huang

Sustainability 2018, 10(4), 1191; https://doi.org/10.3390/su10041191 - 15 Apr 2018

Cited by 19 | Viewed by 6186

Abstract

The development of the belt and road region leads cities to significantly increase the amount of public expenditure on the new construction of facilities and infrastructure. Mass construction not only relies on many environmental resources, but might also destroy the local natural environment. [...] Read more.

The development of the belt and road region leads cities to significantly increase the amount of public expenditure on the new construction of facilities and infrastructure. Mass construction not only relies on many environmental resources, but might also destroy the local natural environment. In order to reveal the importance of the natural environment, this study explores the economic value of the natural landscape for sport tourism in Taiwan. While the concept of total economic value (TEV) is applied to the Sun–Moon Lake Swimming Carnival Event, the travel cost method (TCM) is adopted to estimate the use value for participants, and the double-bounded dichotomous contingent valuation method (CVM) and survival analysis are performed to evaluate the non-use value for the residents. The use value is on average NT$ 5668 for one participant. The median willingness to pay for the option value, existence value and bequest value of every resident is NT$433, NT$411 and NT$274, respectively. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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13 pages, 302 KiB

Open AccessArticle

Eco-Innovation in Circular Agri-Business

by Dong-Her Shih, Chia-Ming Lu, Chia-Hao Lee, Sin-Ye Cai, Kuo-Jui Wu and Ming-Lang Tseng

Sustainability 2018, 10(4), 1140; https://doi.org/10.3390/su10041140 - 10 Apr 2018

Cited by 25 | Viewed by 4594

Abstract

This study constructs a theory of eco-innovation in circular agri-business. Although previous studies have discussed eco-innovation in circular agri-business, they did not address eco-innovation from the perspective of a closed-loop sustainable supply chain. Hence, this study applied the fuzzy TOPSIS method to conduct [...] Read more.

This study constructs a theory of eco-innovation in circular agri-business. Although previous studies have discussed eco-innovation in circular agri-business, they did not address eco-innovation from the perspective of a closed-loop sustainable supply chain. Hence, this study applied the fuzzy TOPSIS method to conduct the analysis and determine the interrelationship between eco-innovation and the closed-loop concept. The results are consistent with the theory and a significant improvement in terms of the decisive attributes. The findings suggest that improving water management, relationships with suppliers, knowledge sharing, environmental management systems, and new product and service development are the most effective and efficient ways to build eco-innovation in circular agri-business. The managerial and theoretical implications are discussed. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

17 pages, 4950 KiB

Open AccessArticle

A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives

by Yiyun Liu, Rui Zhao, Kuo-Jui Wu, Tao Huang, Anthony S. F. Chiu and Chenyi Cai

Sustainability 2018, 10(3), 868; https://doi.org/10.3390/su10030868 - 19 Mar 2018

Cited by 13 | Viewed by 5166

Abstract

The Belt and Road Initiative (BRI) provides immense opportunities for agro-waste utilization among countries situated along the routes. However, there is a lack of design of motivational mechanisms to put it into managerial practice. This study uses agro-straw as the typical agro-waste to [...] Read more.

The Belt and Road Initiative (BRI) provides immense opportunities for agro-waste utilization among countries situated along the routes. However, there is a lack of design of motivational mechanisms to put it into managerial practice. This study uses agro-straw as the typical agro-waste to structure a hybrid of multi-objective optimization and system dynamics simulation for optimizing the structure of straw-to-electricity supply chain and designing motivational mechanisms to enhance its sustainability. Since existing studies on the design of motivation mechanisms mainly stressed static motivation, two different dynamic subsidy mechanisms are devised in this study to facilitate the stable collaboration among stakeholders involved in the supply chain. A case study is provided to demonstrate the hybrid method. Discussion about the limitations of the study lays the foundation for further improvement. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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18 pages, 706 KiB

Open AccessArticle

Exploring the Consumer Behavior of Intention to Purchase Green Products in Belt and Road Countries: An Empirical Analysis

by Chih-Cheng Chen, Chien-Wen Chen and Yi-Chun Tung

Sustainability 2018, 10(3), 854; https://doi.org/10.3390/su10030854 - 18 Mar 2018

Cited by 145 | Viewed by 25137

Abstract

This study explored the consumer behavior of intention to purchase green products based on a decision-making model that integrates cognitive attributes, affective attributes, and behavioral intentions in Belt and Road countries. The questionnaires were collected from customers who previously purchased green products; this [...] Read more.

This study explored the consumer behavior of intention to purchase green products based on a decision-making model that integrates cognitive attributes, affective attributes, and behavioral intentions in Belt and Road countries. The questionnaires were collected from customers who previously purchased green products; this study distributed the questionnaires at the appliance section of the department stores and collected 227 valid responses. Environmental attitude, product attitude, social influence, and perceived monetary value positively affected purchase intention; among these attributes, product attitude most substantially affected purchase intention. Cognitive values (collective and individual) significantly and positively affected environmental and product attitudes. Regarding individual environmental literacy, objective knowledge did not significantly affect environmental attitude, whereas subjective knowledge positively and significantly affected product attitude. In addition, both environmental awareness and government role (extrinsic motivating attributes) significantly and positively affected environmental and product attitudes for sustainable consumption. Media exposure also exerted a significant positive effect on environmental attitude for reducing, reusing and recycling emissions. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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15 pages, 5213 KiB

Open AccessArticle

Enhancing Eco-Efficiency of Agro-Products’ Closed-Loop Supply Chain under the Belt and Road Initiatives: A System Dynamics Approach

by Rui Zhao, Yiyun Liu, Zhenyan Zhang, Sidai Guo, Ming-Lang Tseng and Kuo-Jui Wu

Sustainability 2018, 10(3), 668; https://doi.org/10.3390/su10030668 - 1 Mar 2018

Cited by 31 | Viewed by 6899

Abstract

This study redesigns the supply chain of agricultural products in southwest China under the Belt and Road Initiative to improve its eco-efficiency by considering the associated agro-wastes flowing into bioenergy enterprise for energy production. Two scenarios are created, in which the first assumes [...] Read more.

This study redesigns the supply chain of agricultural products in southwest China under the Belt and Road Initiative to improve its eco-efficiency by considering the associated agro-wastes flowing into bioenergy enterprise for energy production. Two scenarios are created, in which the first assumes that all waste flows into the enterprise, whereas the second only considers the inflow of agro-waste produced by farmers and the wholesale market. A system dynamics simulation is conducted by using carbon emissions per product as an indicator to obtain the optimal scenario for managerial practice and design an incentivizing mechanism to drive supply chain operations. A case study is provided to demonstrate application of the system dynamics. Finally, the limitations of the study are discussed to lay the foundation for further improvement. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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17 pages, 1240 KiB

Open AccessArticle

A Hybrid Approach to Explore the Risk Dependency Structure among Agribusiness Firms

by Zhimei Lei, Kuo-Jui Wu, Li Cui and Ming K Lim

Sustainability 2018, 10(2), 533; https://doi.org/10.3390/su10020533 - 16 Feb 2018

Cited by 2 | Viewed by 3254

Abstract

Although the risk management of agricultural firms is important, studies on the extreme risk dependence among agribusiness firms are minimal due to the diversity and complexity of the risks faced by agricultural firms. In this study, we developed a hybrid approach to analyse [...] Read more.

Although the risk management of agricultural firms is important, studies on the extreme risk dependence among agribusiness firms are minimal due to the diversity and complexity of the risks faced by agricultural firms. In this study, we developed a hybrid approach to analyse and uncover the potential risk dependence among agricultural firms. We examined thirty-two agricultural companies to study their dependence structure for risk losses. Three primary findings emerged. First, risk dependence is strong with an average value of 0.96. Second, the dependence structure is hierarchical and includes two network communities. Third, some key agricultural firms were identified in the dependence structure. These key firms are critical for the transmission of negative impacts across agricultural firms. Correspondingly, we suggest measures and strategies (such as improving the level of technological innovation and joint risk resistance capability) to reduce the impact of risk dependence. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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17 pages, 1104 KiB

Open AccessArticle

Constructing a Hierarchical Agribusiness Framework in Chinese Belt and Road Initiatives under Uncertainty

by Li Cui, Min Zhang, Kuo-Jui Wu and Ming-Lang Tseng

Sustainability 2018, 10(1), 251; https://doi.org/10.3390/su10010251 - 19 Jan 2018

Cited by 11 | Viewed by 4100

Abstract

As a result of China launching its belt and road initiatives, an increasing number of firms are searching for an approach to developing sustainability. In particular, agribusinesses are encountering difficulties exploring decisive practices for sustainable food in a context involving diverse stakeholders. To [...] Read more.

As a result of China launching its belt and road initiatives, an increasing number of firms are searching for an approach to developing sustainability. In particular, agribusinesses are encountering difficulties exploring decisive practices for sustainable food in a context involving diverse stakeholders. To clarify these differences in expectations between agribusinesses and their stakeholders, this study employs vague sets associated with interpretive structural modelling to develop a framework for agribusinesses and their customers. A comparison of these two frameworks reveals that the government still plays a key role in motivating sustainable food development in terms of establishing the relevant regulations and processes. Moreover, the customer is the final stakeholder that must be taken into account by agribusiness. Both agribusinesses and customers are concerned about health and safety considerations in sustainable food. Further details related to this context are addressed in the present study. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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1646 KiB

Open AccessArticle

Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

by Kuo-Ping Lin, Kuo-Chen Hung, Yu-Ting Lin and Yao-Hung Hsieh

Sustainability 2018, 10(1), 5; https://doi.org/10.3390/su10010005 - 21 Dec 2017

Cited by 15 | Viewed by 5179

Abstract

A decision model for selecting a suitable supplier is a key to reducing the environmental impact in green supply chain management for high-tech companies. Traditional fuzzy weight average (FWA) adopts linguistic variable to determine weight by experts. However, the weights of FWA have [...] Read more.

A decision model for selecting a suitable supplier is a key to reducing the environmental impact in green supply chain management for high-tech companies. Traditional fuzzy weight average (FWA) adopts linguistic variable to determine weight by experts. However, the weights of FWA have not considered the public voice, meaning the viewpoints of consumers in green supply chain management. This paper focuses on developing a novel decision model for green supplier selection in the One Belt and One Road (OBOR) initiative through a fuzzy weighted average approach with social media. The proposed decision model uses the membership grade of the criteria and sub-criteria and its relative weights, which consider the volume of social media, to establish an analysis matrix of green supplier selection. Then, the proposed fuzzy weighted average approach is considered as an aggregating tool to calculate a synthetic score for each green supplier in the Belt and Road initiative. The final score of the green supplier is ordered by a non-fuzzy performance value ranking method to help the consumer make a decision. A case of green supplier selection in the light-emitting diode (LED) industry is used to demonstrate the proposed decision model. The findings demonstrate (1) the consumer’s main concerns are the “Quality” and “Green products” in LED industry, hence, the ranking of suitable supplier in FWA with social media information model obtained the difference result with tradition FWA; (2) OBOR in the LED industry is not fervently discussed in searches of Google and Twitter; and (3) the FWA with social media information could objectively analyze the green supplier selection because the novel model considers the viewpoints of the consumer. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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15 pages, 12045 KiB

Open AccessCase Report

Sustainable Municipal Solid Waste Disposal in the Belt and Road Initiative: A Preliminary Proposal for Chengdu City

by Junhan Huang, Rui Zhao, Tao Huang, Xiaoqian Wang and Ming-Lang Tseng

Sustainability 2018, 10(4), 1147; https://doi.org/10.3390/su10041147 - 11 Apr 2018

Cited by 24 | Viewed by 4977

Abstract

The Chinese green Belt and Road initiative is promoted. This study takes Chengdu as a key hub under the Belt and Road initiative. The municipal solid waste disposal is the point to control pollution and move toward sustainability. Hence, sustainable municipal solid waste [...] Read more.

The Chinese green Belt and Road initiative is promoted. This study takes Chengdu as a key hub under the Belt and Road initiative. The municipal solid waste disposal is the point to control pollution and move toward sustainability. Hence, sustainable municipal solid waste disposal needs to be studied. The prior studies are absent in the planning scenarios analysis. This study proposes a case study to propose three planning scenarios for waste disposal to enhance its sustainability. Scenario 1 represents the current waste disposal mode in Chengdu; Scenario 2 considers all the wastes being incinerated; and Scenario 3 focuses on the incorporation of three disposal methods, i.e., anaerobic digestion, incineration, and landfilling. These three scenarios are assessed based on their greenhouse gas emissions, costs, and public acceptance, to determine the optimality for future managerial practice. Results indicated that Scenario 3 has the highest overall efficiency, yet is challenging in terms of economic feasibility. The limitations of the study are also discussed. Full article

(This article belongs to the Special Issue Sustainable Agribusiness Decision making model in Belt and Road Green Development)

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