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Can foreign trade and technological innovation affect green development: evidence from countries along the Belt and Road

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  • Yingzhi Xu

    (Southeast University)

  • Biying Dong

    (Southeast University)

  • Zihao Chen

    (Southeast University)

Abstract

Foreign trade and technological innovation are major driving forces for the development of the Belt and Road Initiative. This paper investigates the green development of 32 countries along the Belt and Road during the period of 2010–2018, and uses the Data Envelopment Analysis method to measure the green development level of countries along the Belt and Road. Based on the dynamic panel model, the system generalized method of moments is used to estimate the impact of foreign trade and technological innovation on green development. The results indicate that most of countries along the Belt and Road are in inefficient green development, and that there is still much room for improvement. Meanwhile, foreign trade and technological innovation can significantly contribute to green development of countries along the Belt and Road. Further research has found that there is a threshold effect on the impact of technological innovation on green development of countries along the Belt and Road. Therefore, it is suggested that policymakers should promote green development of countries along the Belt and Road by strengthening their trade flows, improving innovation efficiency, changing the way of urbanization and optimizing their health care systems.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:ecopln:v:55:y:2022:i:2:d:10.1007_s10644-021-09337-5
    DOI: 10.1007/s10644-021-09337-5
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    1. 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.
    2. Jacks, David S. & Meissner, Christopher M. & Novy, Dennis, 2011. "Trade booms, trade busts, and trade costs," Journal of International Economics, Elsevier, vol. 83(2), pages 185-201, March.
    3. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Jensen, Camilla & Mina, Andrea, 2019. "Did transition bring cleaner air? Effects of ownership, territorial and technology policy on air pollution," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    6. Zhijun Feng & Wei Chen, 2018. "Environmental Regulation, Green Innovation, and Industrial Green Development: An Empirical Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    7. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors," China Economic Review, Elsevier, vol. 28(C), pages 123-134.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. 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.
    10. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Preethu Rahman & Zhihe Zhang & Mohammad Musa, 2023. "Do technological innovation, foreign investment, trade and human capital have a symmetric effect on economic growth? Novel dynamic ARDL simulation study on Bangladesh," Economic Change and Restructuring, Springer, vol. 56(2), pages 1327-1366, April.
    2. Rulong Zhuang & Kena Mi & Menglu Zhi & Chaoyang Zhang, 2022. "Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
    3. Aneet Yadav & Mantu Kumar Mahalik & Gupteswar Patel & Shreya Pal, 2024. "Do domestic and overseas technological innovations equally matter in renewable energy development? Empirical evidence from emerging economies," Economic Change and Restructuring, Springer, vol. 57(6), pages 1-27, December.
    4. Jiekuan Zhang & Yan Zhang, 2023. "Examining the effects of economic growth pressure on green total factor productivity: evidence from China," Economic Change and Restructuring, Springer, vol. 56(6), pages 4309-4337, December.
    5. Xiaoling Zhao & Mingru Peng & Xing Wang & Rui Xu & Yongze Cui, 2024. "The Effect of Trade Policy Uncertainty on Green Technology Innovation: Evidence from China’s Enterprises," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    6. Debin Ma & Jie Zhang & Ziyi Wang & Dongqi Sun, 2022. "Spatio-Temporal Evolution and Influencing Factors of Open Economy Development in the Yangtze River Delta Area," Land, MDPI, vol. 11(10), pages 1-24, October.

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