IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i1p103-d1320596.html
   My bibliography  Save this article

Agricultural Production Efficiency and Ecological Transformation Efficiency in the Yangtze River Economic Belt

Author

Listed:
  • Gui Jin

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Han Yu

    (School of Management, RMIT University, Melbourne, VIC 3083, Australia)

  • Dawei He

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Baishu Guo

    (School of Arts and Communication, China University of Geosciences, Wuhan 430074, China)

Abstract

Measuring the agricultural production efficiency (APE) and the ecological transformation efficiency (ETE) is key to agricultural modernization and regional ecological civilization construction. Based on the agricultural input–output dataset of the Yangtze River Economic Belt (YREB) from 2000 to 2015, we use the panel stochastic frontier analysis (SFA) to measure the APE and ETE to explore the spatiotemporal patterns of regional APE and ETE from the geographical perspective. We rely on the quantitative association characteristics to explore the key threshold of ecological economic development in agriculture. The results show that: (1) In the study period, the APE increased from 0.2993 to 0.5495, indicating that the cumulative growth of the whole period was 83.60%, and the high-value units gradually changed from point distribution to spatial distribution; (2) Although the ETE of the YREB increased from 2000 to 2015, the proportion of the first-class species was still only 7.26% in 2015, and the inverted U-shaped polarization distribution characteristics of the high-efficiency cities and the band-like structure of global decision-making units were formed at the same time; (3) The improvement of ETE has obvious segment distribution and threshold crossing characteristics, and the APE is equal to 0.661, which is the threshold for high-speed growth and low-speed growth of ETE. The research framework, spatiotemporal rules and key thresholds have reference value for agricultural modernization and ecological civilization construction.

Suggested Citation

  • Gui Jin & Han Yu & Dawei He & Baishu Guo, 2024. "Agricultural Production Efficiency and Ecological Transformation Efficiency in the Yangtze River Economic Belt," Land, MDPI, vol. 13(1), pages 1-14, January.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:1:p:103-:d:1320596
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/1/103/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/1/103/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    2. Chen, Shuai & Gong, Binlei, 2021. "Response and adaptation of agriculture to climate change: Evidence from China," Journal of Development Economics, Elsevier, vol. 148(C).
    3. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    4. Chivu, Luminita & Andrei, Jean Vasile & Zaharia, Marian & Gogonea, Rodica-Manuela, 2020. "A regional agricultural efficiency convergence assessment in Romania – Appraising differences and understanding potentials," Land Use Policy, Elsevier, vol. 99(C).
    5. Shen, Zhiyang & Baležentis, Tomas & Ferrier, Gary D., 2019. "Agricultural productivity evolution in China: A generalized decomposition of the Luenberger-Hicks-Moorsteen productivity indicator," China Economic Review, Elsevier, vol. 57(C).
    6. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    7. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    8. Zhang, Qian & Sun, Zhongxiao & Huang, Wei, 2018. "Does land perform well for corn planting? An empirical study on land use efficiency in China," Land Use Policy, Elsevier, vol. 74(C), pages 273-280.
    9. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    10. Lei Gao & Brett A. Bryan, 2017. "Finding pathways to national-scale land-sector sustainability," Nature, Nature, vol. 544(7649), pages 217-222, April.
    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. Zhang, Qizheng & Qian, Zesen & Wang, Shuo & Yuan, Lingran & Gong, Binlei, 2022. "Productivity drain or productivity gain? The effect of new technology adoption in the oilfield market," Energy Economics, Elsevier, vol. 108(C).
    2. Zesen Qian & Lingran Yuan & Shuo Wang & Qizheng Zhang & Binlei Gong, 2021. "Epidemics, Convergence, and Common Prosperity: Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(6), pages 117-138, November.
    3. Lingran Yuan & Shurui Zhang & Shuo Wang & Zesen Qian & Binlei Gong, 2021. "World agricultural convergence," Journal of Productivity Analysis, Springer, vol. 55(2), pages 135-153, April.
    4. Xi Chen & Mingzhe Pu & Yu Zhong, 2022. "Evaluating China Food’s Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    5. Zhuohui Yu & Qingning Lin & Changli Huang, 2022. "Re-Measurement of Agriculture Green Total Factor Productivity in China from a Carbon Sink Perspective," Agriculture, MDPI, vol. 12(12), pages 1-26, November.
    6. Yuan, Lingran & Zhang, Qizheng & Wang, Shuo & Hu, Weibin & Gong, Binlei, 2022. "Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    7. Ito, Junichi & Li, Xinyi, 2023. "Interplay between China’s grain self-sufficiency policy shifts and interregional, intertemporal productivity differences," Food Policy, Elsevier, vol. 117(C).
    8. Ferreira, Marcelo Dias Paes & Féres, José Gustavo, 2020. "Farm size and Land use efficiency in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 99(C).
    9. Dong, Qi & Murakami, Tomoaki & Nakashima, Yasuhiro, 2021. "Induced Bias of Technological Change in Agriculture and Structural Transformation: A Translog Cost Function Analysis of Chinese Cereal Production," 2021 Conference, August 17-31, 2021, Virtual 315373, International Association of Agricultural Economists.
    10. Yuling Wu & Pei Zhang & Jia Li & Jiao Hou, 2022. "Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    11. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    12. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    13. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    14. Yan Chen & Xiaohong Chen & Hongshan Ai & Xiaoqing Tan, 2022. "Temperature and Migration Intention: Evidence from the Unified National Graduate Entrance Examination in China," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    15. Xin Xuan & Bing Liu & Fan Zhang, 2021. "Climate Change and Adaptive Management: Case Study in Agriculture, Forestry and Pastoral Areas," Land, MDPI, vol. 10(8), pages 1-17, August.
    16. Velasco-Fernández, Raúl & Dunlop, Tessa & Giampietro, Mario, 2020. "Fallacies of energy efficiency indicators: Recognizing the complexity of the metabolic pattern of the economy," Energy Policy, Elsevier, vol. 137(C).
    17. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    18. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    19. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    20. Morakinyo O. Adetutu, Anthony J. Glass, and Thomas G. Weyman-Jones, 2016. "Economy-wide Estimates of Rebound Effects: Evidence from Panel Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

    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:jlands:v:13:y:2024:i:1:p:103-:d:1320596. 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.