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Exploring impacts of the Grain for Green program on Chinese economic growth

Author

Listed:
  • Jingjing Liu

    (Wuhan University)

  • Jing Wang

    (Wuhan University)

  • Zehui Li

    (Wuhan University)

  • Yingkun Du

    (Wuhan University)

Abstract

Research on effects of ecological restoration and afforestation and their links to land conservation and regional development have received global attention. The Chinese government has successively invested a substantial amount of funds in the Grain for Green Program (GGP) since the mid-1990s. The economic effects of the GGP on macroeconomic growth could be attributed to an increase in agricultural production and off-farm employment and follow-up industry development. Few studies have focused on economic effects of the GGP at the national level using long-term series of panel data in 31 provinces and cities across the country. This study analyzed the regional differentiation and temporal-spatial changes in the GGP and investigated economic impacts of the GGP at different scales. Results showed that the scale of the GGP varied significantly in the eastern, central and western regions and regional changes were characterized by temporal differentiation from 2000 to 2016. The GGP had a slightly negative impact on China’s economic growth, which presented an overall U-shape, changed with an increase in economic growth. Significant regional heterogeneities in economic growth and impacts of the GGP were observed in the eastern, central and western regions. In the current situation in China, the technical progress, adjustment of industrial structure and focus on human capital to promote the development of follow-up industries and farmers’ labor skills have demonstrated the role for improving economic growth and optimizing the GGP arrangement. It is crucial to achieve a synergy between ecosystem conservation and regional economic in China.

Suggested Citation

  • Jingjing Liu & Jing Wang & Zehui Li & Yingkun Du, 2021. "Exploring impacts of the Grain for Green program on Chinese economic growth," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5215-5232, April.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00810-1
    DOI: 10.1007/s10668-020-00810-1
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    as
    1. Kelly, Peter & Huo, Xuexi, 2013. "Do farmers or governments make better land conservation choices? Evidence from China's Sloping Land Conversion Program," Journal of Forest Economics, Elsevier, vol. 19(1), pages 32-60.
    2. Mariya Neycheva, 2013. "Does higher level of education of the labor force cause growth? Evidence from Bulgaria," Economic Change and Restructuring, Springer, vol. 46(3), pages 321-339, August.
    3. Zhang, Qi & Song, Conghe & Chen, Xiaodong, 2018. "Effects of China’s payment for ecosystem services programs on cropland abandonment: A case study in Tiantangzhai Township, Anhui, China," Land Use Policy, Elsevier, vol. 73(C), pages 239-248.
    4. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    5. Kaika, Dimitra & Zervas, Efthimios, 2013. "The Environmental Kuznets Curve (EKC) theory—Part A: Concept, causes and the CO2 emissions case," Energy Policy, Elsevier, vol. 62(C), pages 1392-1402.
    6. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    7. Teixeira, Aurora A.C. & Queirós, Anabela S.S., 2016. "Economic growth, human capital and structural change: A dynamic panel data analysis," Research Policy, Elsevier, vol. 45(8), pages 1636-1648.
    8. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    9. Luigi Aldieri & Jonas Grafström & Kristoffer Sundström & Concetto Paolo Vinci, 2019. "Wind Power and Job Creation," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    10. Chen, Wenhui & Lei, Yalin, 2018. "The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression," Renewable Energy, Elsevier, vol. 123(C), pages 1-14.
    11. Alberto Ansuategi & Simone Marsiglio, 2017. "Is Environmental Protection Beneficial for the Environment?," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 786-802, August.
    12. Li, Hua & Yao, Shunbo & Yin, Runsheng & Liu, Guangquan, 2015. "Assessing the decadal impact of China's sloping land conversion program on household income under enrollment and earning differentiation," Forest Policy and Economics, Elsevier, vol. 61(C), pages 95-103.
    13. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    14. Zhangyue Zhou, 2010. "Achieving food security in China: past three decades and beyond," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(3), pages 251-275, September.
    15. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    16. 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.
    17. Ali, Ghaffar & Ashraf, Aqdas & Bashir, Muhammad Khalid & Cui, Shenghui, 2017. "Exploring environmental Kuznets curve (EKC) in relation to green revolution: A case study of Pakistan," Environmental Science & Policy, Elsevier, vol. 77(C), pages 166-171.
    18. Swati Sinha Babu & Soumyendra Datta, 2015. "Revisiting the link between socio-economic development and environmental status indicators—focus on panel data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(3), pages 567-586, June.
    19. Wang, Jing & Lin, Yifan & Glendinning, Anthony & Xu, Yueqing, 2018. "Land-use changes and land policies evolution in China’s urbanization processes," Land Use Policy, Elsevier, vol. 75(C), pages 375-387.
    20. Hamid Sepehrdoust & Saber Zamani, 2017. "The Challenge of Economic Growth and Environmental Protection in Developing Economies," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 865-883, Autumn.
    21. Xu, Jintao & Yin, Runsheng & Li, Zhou & Liu, Can, 2006. "China's ecological rehabilitation: Unprecedented efforts, dramatic impacts, and requisite policies," Ecological Economics, Elsevier, vol. 57(4), pages 595-607, June.
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    Cited by:

    1. Yingjuan Li & Qiong Lin & Jianyu Zhang & Liuhua Fang & Yi Li & Lianjun Zhang & Chuanhao Wen, 2023. "Convergence Analysis of the Overall Benefits of Returning Farmland into Forest in the Upper Yangtze River Basin, China," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    2. Jingjing Liu & Jing Wang & Tianlin Zhai & Zehui Li, 2022. "The Response of Ecologically Functional Land to Changes in Urban Economic Growth and Transportation Construction in China," IJERPH, MDPI, vol. 19(21), pages 1-17, November.
    3. Shidong Li & Bing Wang & Sheng Zhang & Yingfa Chen & Guangshuai Zhao, 2022. "Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China," IJERPH, MDPI, vol. 19(11), pages 1-16, June.

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