IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v78y2023icp319-331.html
   My bibliography  Save this article

The impact of green trade barriers on agricultural green total factor productivity: Evidence from China and OECD countries

Author

Listed:
  • Liu, Zhen
  • Zhang, Meiling
  • Li, Qiuming
  • Zhao, Xing

Abstract

In the context of emphasizing on the development of green agriculture globally, this research examines the impact of green trade barriers on agricultural green total factor productivity (AGTFP) based on panel data from China and OECD countries from 2005 to 2019. The strong evidence shows that the green trade barriers have a positive effect on improving the country’s AGTFP. In addition, agricultural trade scale will reduce the impact of green trade barriers on AGTFP. The smaller the agricultural trade scale, the greater improvement effect of green trade barriers on AGTFP, otherwise the trade scale will inhibit it. Finally, the empirical evidence offers suggestions for government, policy makers, such as strengthen the monitoring and supervision of green trade barriers, optimize agricultural industry structure, actively integrate with international standards, and continuously improve agricultural technology and health standards.

Suggested Citation

  • Liu, Zhen & Zhang, Meiling & Li, Qiuming & Zhao, Xing, 2023. "The impact of green trade barriers on agricultural green total factor productivity: Evidence from China and OECD countries," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 319-331.
  • Handle: RePEc:eee:ecanpo:v:78:y:2023:i:c:p:319-331
    DOI: 10.1016/j.eap.2023.03.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592623000310
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2023.03.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    2. Moriah Bostian & Tommy Lundgren, 2022. "Valuing Ecosystem Services for Agricultural TFP: A Review of Best Practices, Challenges, and Recommendations," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    3. Kym Anderson, 1992. "Agricultural Trade Liberalisation and the Environment: A Global Perspective," The World Economy, Wiley Blackwell, vol. 15(1), pages 153-172, January.
    4. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    5. Wan, Jun & Baylis, Kathy & Mulder, Peter, 2015. "Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries," Energy Economics, Elsevier, vol. 48(C), pages 253-264.
    6. Barbier, Edward B., 2000. "Links between economic liberalization and rural resource degradation in the developing regions," Agricultural Economics, Blackwell, vol. 23(3), pages 299-310, September.
    7. Regret Sunge & Nicholas Ngepah, 2020. "The Impact of Agricultural Trade Liberalization on Agricultural Total Factor Productivity Growth in Africa," International Economic Journal, Taylor & Francis Journals, vol. 34(4), pages 571-598, October.
    8. Dissanayake, Sumali & Mahadevan, Renuka & Asafu-Adjaye, John, 2019. "Is there a role for trade liberalization in mitigating the impacts of climate change on agriculture?," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 307-324.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingming Zhang & Zikun Yang & Ying Lu & Wenwen Song & Fangting Chen, 2024. "Evaluation of Core Competitiveness of New Energy Industry and Analysis of Obstacle Factors Taking Shandong Province as an Example," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
    2. Sun, Chuanwang & Xu, Shuai & Xu, Mengjie, 2023. "What causes green efficiency losses in Chinese agriculture? A perspective based on input redundancy," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Xingling Jiang & Yong Sun & Mou Shen & Lixia Tang, 2024. "How Does Developing Green Agriculture Affect Poverty? Evidence from China’s Prefecture-Level Cities," Agriculture, MDPI, vol. 14(3), pages 1-16, March.

    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. 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.
    2. 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.
    3. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    4. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
    5. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    6. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    7. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    8. Huijun Li & Jianhua Zhang & Edward Osei & Mark Yu, 2018. "Sustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    9. 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.
    10. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2013. "On the inconsistency of the Malmquist–Luenberger index," European Journal of Operational Research, Elsevier, vol. 229(3), pages 738-742.
    11. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    12. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.
    19. 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.
    20. 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.

    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:eee:ecanpo:v:78:y:2023:i:c:p:319-331. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.