IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2020i1p97-d467612.html
   My bibliography  Save this article

Analysis on the Agricultural Green Production Efficiency and Driving Factors of Urban Agglomerations in the Middle Reaches of the Yangtze River

Author

Listed:
  • Lei Wang

    (School of Business, Hohai University, Changzhou 213022, China)

  • Zengrui Qi

    (School of Business, Hohai University, Changzhou 213022, China)

  • Qinghua Pang

    (School of Business, Hohai University, Changzhou 213022, China)

  • Yibo Xiang

    (Department of Economics, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Yanli Sun

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

Abstract

As one of the main grain-producing areas in China, urban agglomeration in the middle reaches of the Yangtze River plays an important role in the development of agricultural production for China’s grain supply. The existing studies about agricultural production efficiency lack of regional coordination analysis at both macro and micro levels, and only few studies consider the impact of agricultural production environment pollution and other undesirable outputs. Based on the input–output index system of agricultural green production, Slacks-based model (SBM) was adopted to measure the agricultural green production efficiency of 31 prefecture level cities in the middle reaches of the Yangtze River from 2008 to 2018, and the Tobit model of panel fixed effect was used to analyze the driving effect of external factors that affect the agricultural green production efficiency of urban agglomeration in the middle reaches of the Yangtze River. At the same time, the research methods at both macro and micro levels provide ideas for the research of transregional production efficiency. The results showed that: (1) the agricultural green production efficiency of urban agglomeration in the middle reaches of the Yangtze river is relatively low, with 2009 and 2013 as the inflection points, showing a stable trend of rise and decline; (2) The green agricultural production efficiency of urban agglomeration in the middle reaches of the Yangtze River presents the spatial distribution characteristics of “high in the west and low in the east”. The regional efficiency difference is obvious, the gap gradually expands, develops from the equilibrium to the polarization; (3) Urbanization development and government intervention has a significant restraining effect on the improvement of agricultural green production efficiency, and opening to the outside world produces a remarkable influence on the improvement of agricultural green production efficiency, however, economic development and industrial structure have little impact on the improvement of agricultural green production efficiency. Therefore, it is necessary to increase investment in technological innovation, promote agricultural transformation and upgrading, promote rational factors allocation and promote coordinated development of agriculture based on regional production differences.

Suggested Citation

  • Lei Wang & Zengrui Qi & Qinghua Pang & Yibo Xiang & Yanli Sun, 2020. "Analysis on the Agricultural Green Production Efficiency and Driving Factors of Urban Agglomerations in the Middle Reaches of the Yangtze River," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:97-:d:467612
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/97/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/1/97/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    2. Vernon W. Ruttan, 2002. "Productivity Growth in World Agriculture: Sources and Constraints," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 161-184, Fall.
    3. Tamilselvi, R. & Ramesh, M. & Lekshmi, G.S. & Bazaka, Olha & Levchenko, Igor & Bazaka, Kateryna & Mandhakini, M., 2020. "Graphene oxide – Based supercapacitors from agricultural wastes: A step to mass production of highly efficient electrodes for electrical transportation systems," Renewable Energy, Elsevier, vol. 151(C), pages 731-739.
    4. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    5. Dietrich Vollrath, 2007. "Land Distribution and International Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 202-216.
    6. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    7. Kuersteiner, Guido M., 2019. "Invariance principles for dependent processes indexed by Besov classes with an application to a Hausman test for linearity," Journal of Econometrics, Elsevier, vol. 211(1), pages 243-261.
    8. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    9. Yiannis Panagopoulos & Elias Dimitriou, 2020. "A Large-Scale Nature-Based Solution in Agriculture for Sustainable Water Management: The Lake Karla Case," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    10. Xu, Li & Tan, Junlan, 2020. "Financial development, industrial structure and natural resource utilization efficiency in China," Resources Policy, Elsevier, vol. 66(C).
    11. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    12. Xuhui Ding & Zhu Fu & Hongwen Jia, 2019. "Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    13. 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.
    14. 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.
    15. Xia, Min & Zhang, Yanyuan & Zhang, Zihong & Liu, Jingjie & Ou, Weixin & Zou, Wei, 2020. "Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises," Land Use Policy, Elsevier, vol. 90(C).
    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. Junjin Chen & Hong Zhou, 2023. "The Role of Contract Farming in Green Smart Agricultural Technology," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
    2. Mengchao Yao & Ziqi Li & Yunfei Wang, 2023. "Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    3. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    4. Li Ruohan & Khairul Hisyam Kamarudin, 2025. "Evaluation of the Level of Green Development Agriculture and Obstacles in Shandong Province," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 38-45, March.
    5. Zaiyu Fan & Zhen Zhong, 2023. "Spatial Morphological Characteristics and Evolution of Policy-Oriented Urban Agglomerations—Take the Yangtze River Middle Reaches Urban Agglomeration as an Example," Sustainability, MDPI, vol. 15(18), pages 1-20, September.

    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. Lei Wang & Yi Zhang & Jingyi Xia & Zilei Wang & Wenjing Zhang, 2024. "Agricultural Production Efficiency and Differentiation of City Clusters along the Middle Reaches of Yangtze River under Environmental Constraints," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    2. Tao Du, 2017. "Performance Measurement of Healthcare Service and Association Discussion between Quality and Efficiency: Evidence from 31 Provinces of Mainland China," Sustainability, MDPI, vol. 10(1), pages 1-19, December.
    3. Ray, Subhash C. & Ghose, Arpita, 2014. "Production efficiency in Indian agriculture: An assessment of the post green revolution years," Omega, Elsevier, vol. 44(C), pages 58-69.
    4. Dalai Ma & Fengtai Zhang & Yaping Xiao & Lei Gao & Hongbo Liao & Na Zhao & Yuedong Xiao & Xingyu Yang & Wenli Wu, 2024. "How industrial water resources green efficiency varies in China: a case study of the Yangtze River Economic Belt considering unexpected output," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 187-213, January.
    5. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    6. Xiaoqing Wang & Qiuming Wu & Salman Majeed & Donghao Sun, 2018. "Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    7. Yu Zhang & Xi Cai & Liudan Jiao & Yanying Mao & Xiaosen Huo & Ya Wu, 2024. "Using eco‐efficiency and eco‐wellbeing performance as indicators for urban sustainable development: A two‐stage network analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 1825-1844, June.
    8. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    9. Runqi Lun & Wei Liu & Guojing Li & Qiyou Luo, 2024. "Does Digital Agricultural Technology Extension Service Enhance Sustainable Food Production? Evidence from Maize Farmers in China," Agriculture, MDPI, vol. 14(2), pages 1-23, February.
    10. Liu, Fangmei & Li, Li & Ye, Bin & Qin, Quande, 2023. "A novel stochastic semi-parametric frontier-based three-stage DEA window model to evaluate China's industrial green economic efficiency," Energy Economics, Elsevier, vol. 119(C).
    11. Yonglin Li & Zhili Zuo & Deyi Xu & Yi Wei, 2021. "Mining Eco-Efficiency Measurement and Driving Factors Identification Based on Meta-US-SBM in Guangxi Province, China," IJERPH, MDPI, vol. 18(10), pages 1-22, May.
    12. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    13. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, March.
    14. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    15. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    16. Davtalab-Olyaie, Mostafa & Begen, Mehmet A. & Yang, Zijiang & Asgharian, Masoud, 2024. "Incentivization in centrally managed systems: Inconsistencies resolution," Omega, Elsevier, vol. 129(C).
    17. 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.
    18. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    19. Mohammad Tavassoli & Mahsa Ghandehari & Masoud Taherinia, 2023. "Rang-adjusted measure: modelling and computational aspects from internal and external perspectives for network DEA," Operational Research, Springer, vol. 23(4), pages 1-34, December.
    20. Jin‐Li Hu & Ya‐Chi Cheng, 2024. "ASEAN's efficiency scores in achieving the sustainable development goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 5499-5512, October.

    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:13:y:2020:i:1:p:97-:d:467612. 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.