IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8425-d1487477.html
   My bibliography  Save this article

Can Agricultural Socialized Services Promote Agricultural Green Total Factor Productivity? From the Perspective of Production Factor Allocation

Author

Listed:
  • Wei Yao

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Yingyu Zhu

    (College of Economics and Management, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China)

  • Shuyao Liu

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Yan Zhang

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

In the context of China’s large country with small farmers, agricultural socialized services are regarded as an important way for small farmers to organically connect with modern agriculture and provide ideas for improving agricultural green total factor productivity (AGTFP). Based on data from 1066 farmers from the China Land Economy Survey (CLES), this paper takes net carbon sink as the environmental output variable, adopts the Cobb–Douglas production function for stochastic frontier method estimation, and measures the AGTFP based on the stochastic frontier analysis method with an output-oriented distance function. At the same time, through the construction of intermediary effect and regulatory effect models, it empirically analyzes the impact and mechanism of agricultural socialized services on farmers’ AGTFP from the perspective of factor allocation. The study found that agricultural socialized services not only significantly promote AGTFP, but also that the effect of AGTFP improvement is more significant as the degree of participation in agricultural socialized services increases. The main results have passed a series of robustness tests. Further research found that agricultural socialized services promote the improvement of AGTFP through the intermediary role of improving the scale of farmland and the level of agricultural green technology adoption. Off-farm employment of the rural labor force has a positive regulatory effect between agricultural socialized services and AGTFP. Therefore, it is recommended to further play the role of agricultural socialized services in optimizing the allocation of production factors and to motivate agricultural socialized service organizations to provide multiple green production services for farmers through policy support or subsidies, enhance the service capacity of agricultural socialized service organizations, and provide precise services by fully considering the differences in the endowment of production factors among farmers, as well as take multiple measures and make solid and steady progress in promoting the sustainable development of agriculture.

Suggested Citation

  • Wei Yao & Yingyu Zhu & Shuyao Liu & Yan Zhang, 2024. "Can Agricultural Socialized Services Promote Agricultural Green Total Factor Productivity? From the Perspective of Production Factor Allocation," Sustainability, MDPI, vol. 16(19), pages 1-26, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8425-:d:1487477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8425/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8425/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tasso Adamopoulos & Loren Brandt & Jessica Leight & Diego Restuccia, 2022. "Misallocation, Selection, and Productivity: A Quantitative Analysis With Panel Data From China," Econometrica, Econometric Society, vol. 90(3), pages 1261-1282, May.
    2. David Card & Alan B. Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 31-50, Fall.
    3. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    4. Qinhang Xu & Peixin Zhu & Liang Tang, 2022. "Agricultural Services: Another Way of Farmland Utilization and Its Effect on Agricultural Green Total Factor Productivity in China," Land, MDPI, vol. 11(8), pages 1-15, July.
    5. Cao, Kang Hua & Birchenall, Javier A., 2013. "Agricultural productivity, structural change, and economic growth in post-reform China," Journal of Development Economics, Elsevier, vol. 104(C), pages 165-180.
    6. David Card & Alan Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Working Papers 745, Princeton University, Department of Economics, Industrial Relations Section..
    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. Shenghao Zhu & Guanyi Yin & Qingzhi Sun & Zhan Zhang & Guanghao Li & Liangfei Gao, 2025. "Structural Changes to China’s Agricultural Business Entities System Under the Perspective of Competitive Evolution," Sustainability, MDPI, vol. 17(7), pages 1-20, March.
    2. Ruofan Liao & Zhengtao Chen & Jirakom Sirisrisakulchai & Jianxu Liu, 2025. "Enhancing Rural Economic Sustainability in China Through Agricultural Socialization Services: A Novel Perspective on Spatial-Temporal Dynamics," Agriculture, MDPI, vol. 15(3), pages 1-28, January.
    3. Bin Fan & Ziyue Li & Qingmei Zeng, 2025. "Measurement and Convergence Analysis of the Green Total Factor Productivity of Citrus in China," Sustainability, MDPI, vol. 17(16), pages 1-29, August.
    4. Yong Feng & Shuokai Wang & Fangping Cao, 2025. "The Impact of Rural Digital Economy Development on Agricultural Carbon Emission Efficiency: A Study of the N-Shaped Relationship," Agriculture, MDPI, vol. 15(15), pages 1-29, July.
    5. Zhaoyu Li & Kewei Gao & Guanghua Qiao, 2025. "From Online Markets to Green Fields: Unpacking the Impact of Farmers’ E-Commerce Participation on Green Production Technology Adoption," Agriculture, MDPI, vol. 15(14), pages 1-31, July.
    6. Yue-Dong Zhang & Jing-Jing Li & Yi-Fang Zheng & Jia-Xian Xu, 2025. "Effect of agricultural socialisation services on green grain production efficiency: Evidence from Jiangsu Province, China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 71(4), pages 173-184.
    7. Degui Yu & Ying Cao & Suyan Tian & Jiahao Cai & Xinzhuo Fang, 2025. "How Do Digitalization and Scale Influence Agricultural Carbon Emission Reduction: Evidence from Jiangsu, China," Land, MDPI, vol. 14(10), pages 1-31, October.

    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. Giacomo De Giorgi & Michele Pellizzari & William Gui Woolston, 2012. "Class Size And Class Heterogeneity," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 795-830, August.
    2. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    3. Alan B. Krueger, 2002. "Inequality, Too Much of a Good Thing," Working Papers 845, Princeton University, Department of Economics, Industrial Relations Section..
    4. Simona Ferraro & Tommaso Agasisti & Francesco Porcelli & Mara Soncin, 2021. "Local governments’ efficiency and educational results: empirical evidence from Italian primary schools," Applied Economics, Taylor & Francis Journals, vol. 53(35), pages 4017-4039, July.
    5. Cécile Bonneau, 2020. "The Concentration of investment in education in the US (1970-2018)," Working Papers halshs-02875965, HAL.
    6. Sarath Delpachitra & Pham Van Dai, 2012. "The Determinants of TFP Growth in Middle Income Economies in ASEAN: Implication of Financial Crises," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 11(1), pages 63-88, June.
    7. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," IZA Discussion Papers 815, Institute of Labor Economics (IZA).
    8. Wang, Chunchao & Zhang, Chenglei & Ni, Jinlan & Zhang, Haifeng & Zhang, Junsen, 2019. "Family migration in China: Do migrant children affect parental settlement intention?," Journal of Comparative Economics, Elsevier, vol. 47(2), pages 416-428.
    9. Walde, Klaus, 2000. "Egalitarian and elitist education systems as the basis for international differences in wage inequality," European Journal of Political Economy, Elsevier, vol. 16(3), pages 445-468, September.
    10. Chen, Hung-Ju & Fang, I-Hsiang, 2013. "Migration, social security, and economic growth," Economic Modelling, Elsevier, vol. 32(C), pages 386-399.
    11. repec:pri:cepsud:87krueger is not listed on IDEAS
    12. Joseph G. Altonji & Prashant Bharadwaj & Fabian Lange, 2012. "Changes in the Characteristics of American Youth: Implications for Adult Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 783-828.
    13. Catalina Gutiérrez & Ryuichi Tanaka, 2009. "Inequality and education decisions in developing countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(1), pages 55-81, March.
    14. repec:isu:genstf:1997010108000012571 is not listed on IDEAS
    15. Ye, Longfeng & Robertson, Peter E., 2019. "Hitting the Great Wall: Structural change and China's growth slowdown," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    16. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition – Evidence from the PISA 2000 Study," IZA Discussion Papers 714, Institute of Labor Economics (IZA).
    17. Muharrem Yeşilırmak, 2018. "Decreasing average cost in private schools, existence of majority voting equilibrium, and a policy analysis for Turkey," Review of Economic Design, Springer;Society for Economic Design, vol. 22(1), pages 1-24, June.
    18. Rivkin, Steven G., 2001. "Tiebout sorting, aggregation and the estimation of peer group effects," Economics of Education Review, Elsevier, vol. 20(3), pages 201-209, June.
    19. Pritchett, Lant & Filmer, Deon, 1999. "What education production functions really show: a positive theory of education expenditures," Economics of Education Review, Elsevier, vol. 18(2), pages 223-239, April.
    20. Walton, Nina, 2010. "The price of admission: Who gets into private school, and how much do they pay?," Economics of Education Review, Elsevier, vol. 29(5), pages 738-750, October.
    21. Ciccone, Antonio & Garcia-Fontes, Walter, 2009. "The quality of the Catalan and Spanish education systems: A perspective from PISA," IESE Research Papers D/810, IESE Business School.
    22. Alessandro Belmonte & Vincenzo Bove & Giovanna D'Inverno & Marco Modica, 2017. "School Infrastructure Spending and Educational Outcomes in Northern Italy," Working Papers of LEER - Leuven Economics of Education Research 617760, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:16:y:2024:i:19:p:8425-:d:1487477. 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.