IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8900-d1161039.html
   My bibliography  Save this article

Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin

Author

Listed:
  • Guangyan Ran

    (College of Sciences, Shihezi University, Shihezi 832000, China)

  • Guangyao Wang

    (College of Sciences, Shihezi University, Shihezi 832000, China
    State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    College of Marxism, Shihezi University, Shihezi 832000, China)

  • Huijuan Du

    (College of Sciences, Shihezi University, Shihezi 832000, China)

  • Mi Lv

    (College of Sciences, Shihezi University, Shihezi 832000, China)

Abstract

Clarifying the relationship between cooperative management and cultivated land use eco-efficiency (LUEE) is of great significance to promoting the green and low-carbon transition of agriculture. To explore the role of cooperative management in the green and low-carbon transition of agriculture of smallholder farmers in the western Tarim River Basin, in this study, based on the field survey data of 444 farmers in 2021, the carbon emissions of cultivated land were used to measure the LUEE with the slack-based model (SBM) with undesirable outputs. Then, propensity score matching (PSM) was used to test the relationship between cooperative management and LUEE. Additionally, the mediating effect of farmers’ green development willingness (FGDW) and the moderating effect of farmers’ part-time off-farm employment (POE) on the relationship was explored. The present study hypothesized that joining cooperatives has an improving effect on the LUEE, which can be achieved by increasing FGDW, and this effect can be enhanced by farmers’ POE. The results show that: (1) The LUEE was generally low (average LUEE value: 0.2678), and there was a significant difference between farmer households (the difference between the maximum and minimum values was as high as 2.8716). (2) Cooperative management had a significant improving effect on the LUEE. The LUEE of cooperative farmers (ACF) increased by 8.6% compared with that of non-cooperative farmers (NACF). (3) Joining a cooperative could improve the LUEE by improving FGDW. (4) POE could enhance the improving effect of cooperative management on the LUEE. Overall, all three hypotheses were supported: cooperative management could achieve scale effects that small farmers cannot achieve, which had a positive effect on improving the LUEE. This study provides a new ecological perspective for the analysis of the relationship between agricultural cooperatives and LUEE and decision-making reference for the rational utilization of cultivated land in northwest China.

Suggested Citation

  • Guangyan Ran & Guangyao Wang & Huijuan Du & Mi Lv, 2023. "Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8900-:d:1161039
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8900/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/8900/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adewumi, Matthew Olaniyi & Adebayo, Fatimoh. A., 2008. "Profitability and Technical Efficiency of Sweet Potato Production in Nigeria," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 31(5), pages 1-16, November.
    2. 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.
    3. 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).
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    6. Samuel Ahado & Jiří Hejkrlík & Anudari Enkhtur & Tserendavaa Tseren & Tomáš Ratinger, 2021. "Does cooperative membership impact the yield and efficiency of smallholder farmers? Evidence from potato farmers in Mongolia," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 13(4), pages 736-755, August.
    7. Dong, Ying & Mu, Yueying & Abler, David, 2019. "Do Farmer Professional Cooperatives Improve Technical Efficiency and Income? Evidence from Small Vegetable Farms in China," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(4), pages 591-605, November.
    8. Hengji Li & Jiansheng Qu & Dai Wang & Peng Meng & Chenyu Lu & Jingjing Zeng, 2021. "Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    9. Zhenggen Fan & Qingqing Luo & Hu Yu & Ji Liu & Wentong Xia, 2023. "Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the ," Land, MDPI, vol. 12(5), pages 1-18, April.
    10. Gashaw Tadesse ABATE & Gian Nicola FRANCESCONI & Kindie GETNET, 2014. "Impact Of Agricultural Cooperatives On Smallholders’ Technical Efficiency: Empirical Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 257-286, June.
    11. Pengnan Xiao & Jie Xu & Zupeng Yu & Peng Qian & Mengyao Lu & Chao Ma, 2022. "Spatiotemporal Pattern Differentiation and Influencing Factors of Cultivated Land Use Efficiency in Hubei Province under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    12. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    13. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    14. Musa Hasen Ahmed & Hiwot Mekonnen Mesfin, 2017. "The impact of agricultural cooperatives membership on the wellbeing of smallholder farmers: empirical evidence from eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-20, December.
    15. 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.
    16. Bonfiglio, Andrea & Arzeni, Andrea & Bodini, Antonella, 2017. "Assessing eco-efficiency of arable farms in rural areas," Agricultural Systems, Elsevier, vol. 151(C), pages 114-125.
    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. Yang Xu & Yujia Huo & Xiangyu Guo, 2024. "Relationship of Arable Land Scale and High-Quality Development of Farmers’ Cooperatives: Evidence from Grain Production Cooperatives in China," Sustainability, MDPI, vol. 16(6), pages 1-30, 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. Wanglin Ma & Sanghyun Hong & W. Robert Reed & Jianhua Duan & Phong Luu, 2023. "Yield effects of agricultural cooperative membership in developing countries: A meta‐analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 761-780, September.
    2. Mengyang Hou & Zenglei Xi & Suyan Zhao, 2022. "Evaluating the Heterogeneity Effect of Fertilizer Use Intensity on Agricultural Eco-Efficiency in China: Evidence from a Panel Quantile Regression Model," IJERPH, MDPI, vol. 19(11), pages 1-22, May.
    3. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    4. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    5. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    6. 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.
    7. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    8. Dinesh Dhakal & David O’Brien & Peter Mueser, 2021. "Government Policy and Performance of Agricultural Cooperatives: A Case Study in Chitwan District, Nepal," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    9. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    10. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    11. Shilin Li & Zhiyuan Zhu & Zhenzhong Dai & Jiajia Duan & Danmeng Wang & Yongzhong Feng, 2022. "Temporal and Spatial Differentiation and Driving Factors of China’s Agricultural Eco-Efficiency Considering Agricultural Carbon Sinks," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    12. 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.
    13. Lin Shi & Xiaofei Shi & Fan Yang & Lixue Zhang, 2023. "Spatio-Temporal Difference in Agricultural Eco-Efficiency and Its Influencing Factors Based on the SBM-Tobit Models in the Yangtze River Delta, China," IJERPH, MDPI, vol. 20(6), pages 1-22, March.
    14. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    15. Wanglin Ma & Hongyun Zheng & Peng Yuan, 2022. "Impacts of cooperative membership on banana yield and risk exposure: Insights from China," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 564-579, June.
    16. Bin Yang & Ying Wang & Yan Li & Lizi Mo, 2023. "Empirical Investigation of Cultivated Land Green Use Efficiency and Influencing Factors in China, 2000–2020," Land, MDPI, vol. 12(8), pages 1-17, August.
    17. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    18. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    19. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    20. Yayuan Pang & Xinjun Wang, 2020. "Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model," Sustainability, MDPI, vol. 12(24), pages 1-20, December.

    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:11:p:8900-:d:1161039. 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.