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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.

Suggested Citation

  • 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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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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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