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Analysis of green total factor productivity trend and its determinants for the countries along silk roads

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  • Yuanxin Peng
  • Zhuo Chen
  • Juanzhi Xu
  • Jay Lee

Abstract

In coping with increasing energy consumption and the consequential environmental pollution, green development is becoming an important part of social development. Since the inauguration of China’s Silk Road Economic Belt Initiative (BRI), economic cooperation between China and other countries along BRI has seen much growth. Therefore, it is of great significance to study the levels of green total factor productivity (GTFP) of the countries in the Silk Roads Economic Belt (B&R) and examine how these levels vary spatially and evolve temporally. In this paper, a panel regression analysis with DEA windows is used to study the spatiotemporal trends of the levels of GTFP. The results are: (1) The B&R countries have seen an increase in their overall levels of GTFP over time; (2) There are regional differences in the levels of GTFP, with higher efficiency in Western Asia and Central and Eastern Europe, and lower efficiency in Southeast and Central Asia; (3) The analysis of GTFP for countries in these regions shows that the efficiencies of most countries have been improving, with that of only a few countries have been decreasing; (4) By using regression analysis, we find that variables such as import, export, industrial structure, and urban affect the B&R countries with growing GTFP.

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  • Yuanxin Peng & Zhuo Chen & Juanzhi Xu & Jay Lee, 2020. "Analysis of green total factor productivity trend and its determinants for the countries along silk roads," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1711-1726, December.
    • Handle: RePEc:bla:growch:v:51:y:2020:i:4:p:1711-1726
    DOI: 10.1111/grow.12435
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    1. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    2. Chuang, Yih-Chyi, 1998. "Learning by Doing, the Technology Gap, and Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 697-721, August.
    3. Loren Brandt & Trevor Tombe & Xiadong Zhu, 2013. "Factor Market Distortions Across Time, Space, and Sectors in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 39-58, January.
    4. Ben-David, Dan & Loewy, Michael B, 1998. "Free Trade, Growth, and Convergence," Journal of Economic Growth, Springer, vol. 3(2), pages 143-170, June.
    5. Batra, Ravi & Beladi, Hamid & Frasca, Ralph, 1998. "Environmental pollution and world trade," Ecological Economics, Elsevier, vol. 27(2), pages 171-182, November.
    6. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    7. Pengsheng Li & Yanying Chen, 2019. "The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    10. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
    11. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    12. Mehmet APAN & İhsan ALP & Ahmet ÖZTEL, 2019. "Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(42).
    13. Chia-Nan Wang & Tsang-Ta Tsai & Hsien-Pin Hsu & Le-Hoang Nguyen, 2019. "Performance Evaluation of Major Asian Airline Companies Using DEA Window Model and Grey Theory," Sustainability, MDPI, vol. 11(9), pages 1-20, May.
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    1. Wenxing Jia & Shengnan Wu & Yang Yang & Xueliang Zhang, 2024. "Growth of Green Total Factor Productivity in China: “Structural Dividend” or “Reform Dividend”?," Growth and Change, Wiley Blackwell, vol. 55(4), December.
    2. Wenhan Ren & Yu Chen, 2022. "Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    3. Zhai, Ying & Wang, Wenzhi & Zhou, Liying, 2024. "Green efficiency loss caused by economic growth goals: Evidence from an emerging economy," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 983-995.
    4. Kai Chen & Feng Guo & Shuang Xu, 2022. "The Impact of Digital Economy Agglomeration on Regional Green Total Factor Productivity Disparity: Evidence from 285 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    5. Qinghua Huang & Min Liu, 2022. "Trade openness and green total factor productivity: testing the role of environment regulation based on dynamic panel threshold model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9304-9329, July.
    6. Hong Yu & Jianmin Zhang & Ning Xu, 2023. "Does National Independent Innovation Demonstration Zone Construction Help Improve Urban Green Total Factor Productivity? A Policy Assessment from China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    7. Bin Wang & Ao Sun & Qiuxia Zheng & Dianting Wu, 2021. "Spatio-Temporal Characteristics of Green Development Cooperation Network among Belt and Road Initiative Regions and Countries," Sustainability, MDPI, vol. 13(20), pages 1-30, October.
    8. De Pascale, Gianluigi & Romagno, Anna, 2024. "Globalization and ICT capital endowment: How do they impact on an inclusive Green Growth Index?," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 463-474.
    9. Yingzhi Xu & Biying Dong & Zihao Chen, 2022. "Can foreign trade and technological innovation affect green development: evidence from countries along the Belt and Road," Economic Change and Restructuring, Springer, vol. 55(2), pages 1063-1090, May.
    10. Shahid, Rabia & Shahid, Humera & Shijie, Li & Jian, Gao, 2024. "Developing nexus between economic opening-up, environmental regulations, rent of natural resources, green innovation, and environmental upgrading of China - empirical analysis using ARDL bound-testing," Innovation and Green Development, Elsevier, vol. 3(1).
    11. Yinyin Wen & Min Zhao & Genli Tang & Xiaoxiao Zhou & Xingchen Hu & Li Sui, 2023. "How does financial agglomeration affect green development? Evidence from the Yangtze River Delta of China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 135-156, March.
    12. Feng, Rui & Shen, Chen & Dai, Dandan & Xin, Yaru, 2023. "Examining the spatiotemporal evolution, dynamic convergence and drivers of green total factor productivity in China’s urban agglomerations," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 744-764.

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