IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12560-d1220147.html
   My bibliography  Save this article

Study of the Spatial Spillover Effects of the Efficiency of Agricultural Product Circulation in Provinces along the Belt and Road under the Green Total Factor Productivity Framework

Author

Listed:
  • Minghua Dai

    (School of Management, Dalian Polytechnic University, Dalian 116034, China)

  • Guanwei Wang

    (School of Management, Dalian Polytechnic University, Dalian 116034, China)

  • Jiaqiu Wang

    (School of Management, Dalian Polytechnic University, Dalian 116034, China)

  • Yuhan Gao

    (School of Management, Dalian Polytechnic University, Dalian 116034, China)

  • Quanzhen Lu

    (School of Management, Dalian Polytechnic University, Dalian 116034, China)

Abstract

In the context of China’s socialist market economy, production and circulation are equally important. Production creates value, while circulation realises value, and both are essential components of socialised reproduction. This paper, based on panel data from 30 provinces and cities in China covering the period from 2010 to 2021, uses methods such as the slacks-based model (SBM), global Malmquist–Luenberger (GML) index, generalised method of moments with system estimation (system GMM) and spatial Durbin model to investigate the developing mechanism and influencing factors of agricultural product circulation efficiency in provinces along the Belt and Road Initiative (BRI) within the framework of green total factor productivity. This study found the following: First, the overall trend of green total factor productivity of agricultural product circulation in provinces along the BRI shows negative growth, especially after the launch of the BRI initiative in 2014. Second, the level of foreign investment has a positive impact on the green total factor productivity of agricultural product circulation in provinces along the BRI. On the other hand, environmental regulations, government support and industrial structure have negative impacts. Third, based on the spatial weight matrix of geographical adjacency, there is a positive spatial spillover effect on the green total factor productivity of agricultural product circulation.

Suggested Citation

  • Minghua Dai & Guanwei Wang & Jiaqiu Wang & Yuhan Gao & Quanzhen Lu, 2023. "Study of the Spatial Spillover Effects of the Efficiency of Agricultural Product Circulation in Provinces along the Belt and Road under the Green Total Factor Productivity Framework," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12560-:d:1220147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12560/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12560/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaofan Li & Guanqing Guo, 2022. "The Influence of Large-Scale Agricultural Land Management on the Modernization of Agricultural Product Circulation: Based on Field Investigation and Empirical Study," Sustainability, MDPI, vol. 14(21), pages 1-28, October.
    2. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    3. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    4. Shixin Ren & Erling Li & Qingqing Deng & Haishan He & Sijie Li, 2018. "Analysis of the Impact of Rural Households’ Behaviors on Heavy Metal Pollution of Arable Soil: Taking Lankao County as an Example," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    5. Jinghan Zhang & Wujun Cao & Minyoung Park, 2019. "Reliability Analysis and Optimization of Cold Chain Distribution System for Fresh Agricultural Products," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    6. 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.
    7. Magnani, Elisabetta, 2000. "The Environmental Kuznets Curve, environmental protection policy and income distribution," Ecological Economics, Elsevier, vol. 32(3), pages 431-443, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    2. Costantini, Valeria & Monni, Salvatore, 2008. "Environment, human development and economic growth," Ecological Economics, Elsevier, vol. 64(4), pages 867-880, February.
    3. Farhani, Sahbi & Mrizak, Sana & Chaibi, Anissa & Rault, Christophe, 2014. "The environmental Kuznets curve and sustainability: A panel data analysis," Energy Policy, Elsevier, vol. 71(C), pages 189-198.
    4. Chunhua Xin & Xiufeng Lai, 2022. "Does the Environmental Information Disclosure Promote the High-Quality Development of China’s Resource-Based Cities?," Sustainability, MDPI, vol. 14(11), pages 1-26, May.
    5. Weixiang Zhao & Yankun Xu, 2022. "Public Expenditure and Green Total Factor Productivity: Evidence from Chinese Prefecture-Level Cities," IJERPH, MDPI, vol. 19(9), pages 1-27, May.
    6. Valeria Costantini & Chiara Martini, 2010. "A Modified Environmental Kuznets Curve for sustainable development assessment using panel data," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 10(1/2), pages 84-122.
    7. Zhou, Lin & Fan, Jianshuang & Hu, Mingzhi & Yu, Xiaofen, 2024. "Clean air policy and green total factor productivity: Evidence from Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 133(C).
    8. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    9. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    10. Lingyan Xu & Dandan Wang & Jianguo Du, 2022. "Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    11. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
    12. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    13. Shuo Wang & Naixu Tian & Yuqi Dai & Haiyan Duan, 2022. "Measurement of Resource Environmental Performance of Crop Planting Water Consumption Based on Water Footprint and Data Enveloped Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 641-658, January.
    14. Zhang, Yaxin & Zeng, Shibo & Wu, Qiaosheng & Fu, Junyi & Li, Tongping, 2023. "A study on the impact of the carbon emissions trading policy on the mining industry based on Porter hypothesis," Resources Policy, Elsevier, vol. 87(PB).
    15. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).
    16. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    17. Unmesh Patnaik & Santosh K. Sahu, 2016. "The Tradeoffs between GHGs Emissions, Income Inequality and Productivity," Working Papers id:10882, eSocialSciences.
    18. Feng Ye & Zhongna Yang & Mark Yu & Susan Watson & Ashley Lovell, 2023. "Can Market-Oriented Reform of Agricultural Subsidies Promote the Growth of Agricultural Green Total Factor Productivity? Empirical Evidence from Maize in China," Agriculture, MDPI, vol. 13(2), pages 1-20, January.
    19. Pan Rao & Xiaojin Liu & Shubin Zhu & Xiaolan Kang & Xinglei Zhao & Fangting Xie, 2022. "Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    20. Ruomeng Zhou & Yunsheng Zhang, 2023. "Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China," Sustainability, MDPI, vol. 15(12), pages 1-32, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12560-:d:1220147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.