IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i1p162-d1029758.html
   My bibliography  Save this article

Analysis of Factors Influencing the Adoption Behavior of Agricultural Productive Services Based on Logistic—ISM Model: A Case Study of Rice Farmers in Jiangxi Province, China

Author

Listed:
  • Juan Ai

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Lun Hu

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Shuhua Xia

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Hongling Xiang

    (Institute for Agricultural and Rural Development, Jiangxi Academy of Social Sciences, Nanchang 330077, China)

  • Zhaojiu Chen

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Agricultural productive services can increase grain output and farmers’ incomes, promote agricultural production efficiency and break the constraints of agricultural environmental resources. In practice, China’s agricultural productive services are developing, and the use of agricultural machinery in rice planting is not sufficient. The employment rate of machinery in farming and harvesting is high, but the employment rate of machinery in seedling raising, planting, fertilization, and pesticide spraying is very low. This paper takes rice farmers in Jiangxi Province of China as the research object, uses 647 survey data of farmers in nine counties of Jiangxi Province, constructs a logistic-ISM model, first identifies the influencing factors of rice farmers’ adoption of agricultural productive services, and then analyzes the hierarchical structure of each influencing factor. The results indicate that: (1) among the seven significant influencing factors of rice farmers’ adoption of agricultural productive services, agricultural income rate and rice planting area are the deep-rooted factors; (2) the social identity of the household head, the risk preference of the household head and the understanding degree of the social service subsidy of agricultural machinery are intermediate level factors; and (3) the age of the household head and the number of agricultural laborers in the family are the direct factors. Based on the significance analysis of the influencing factors of rice farmers’ adoption of agricultural productive services, this paper puts forward policy suggestions to strengthen policy publicity, enhance the level of farmer policy cognition; encourage the transfer of labor force and reasonable allocation of family agricultural labor force; encourage land transfer and expand the scale operation of rice; we should guide farmers reasonably and give full play to their professional advantages.

Suggested Citation

  • Juan Ai & Lun Hu & Shuhua Xia & Hongling Xiang & Zhaojiu Chen, 2023. "Analysis of Factors Influencing the Adoption Behavior of Agricultural Productive Services Based on Logistic—ISM Model: A Case Study of Rice Farmers in Jiangxi Province, China," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:1:p:162-:d:1029758
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/1/162/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/1/162/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yuanxia & Halder, Pradipta & Zhang, Xiaoning & Qu, Mei, 2020. "Analyzing the deviation between farmers' Land transfer intention and behavior in China's impoverished mountainous Area: A Logistic-ISM model approach," Land Use Policy, Elsevier, vol. 94(C).
    2. Yingyu Zhu & Junmiao Deng & Menghan Wang & Yuanchang Tan & Wei Yao & Yan Zhang, 2022. "Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    3. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Maharjan, Sofina & Erenstein, Olaf, 2019. "Understanding factors associated with agricultural mechanization: A Bangladesh case," World Development Perspectives, Elsevier, vol. 13(C), pages 1-9.
    4. Tongwei Qiu & Biliang Luo, 2021. "Do small farms prefer agricultural mechanization services? Evidence from wheat production in China," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 2962-2973, June.
    5. Siyu Yang & Wei Li, 2022. "The Impact of Socialized Agricultural Machinery Services on Land Productivity: Evidence from China," Agriculture, MDPI, vol. 12(12), pages 1-18, December.
    6. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    7. Mukeshimana, Marie Claire & Zhao, Zhen-Yu & Nshimiyimana, Jean Pierre, 2021. "Evaluating strategies for renewable energy development in Rwanda: An integrated SWOT – ISM analysis," Renewable Energy, Elsevier, vol. 176(C), pages 402-414.
    8. Zhang, Xiaobo & Yang, Jin & Reardon, Thomas, 2020. "Mechanization outsourcing clusters and division of labor in Chinese agriculture," IFPRI book chapters, in: An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?, chapter 2, pages 71-96, International Food Policy Research Institute (IFPRI).
    9. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    10. Ruining Li & Yanli Yu, 2022. "Impacts of Green Production Behaviors on the Income Effect of Rice Farmers from the Perspective of Outsourcing Services: Evidence from the Rice Region in Northwest China," Agriculture, MDPI, vol. 12(10), pages 1-27, October.
    11. Baozhong Cai & Fang Shi & Yuangji Huang & Meseret Abatechanie, 2021. "The Impact of Agricultural Socialized Services to Promote the Farmland Scale Management Behavior of Smallholder Farmers: Empirical Evidence from the Rice-Growing Region of Southern China," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    12. Belton, Ben & Fang, Peixun & Reardon, Thomas, 2018. "Mechanization Outsourcing Services in Myanmar's Dry Zone," Feed the Future Innovation Lab for Food Security Policy Research Papers 279857, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    13. Yuqing Wang & Xueping Han, 2020. "Agricultural Productive Service System Based on the Block Chain and Edge Computing," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, November.
    14. Jingjing Gao & Qingen Gai & Binbin Liu & Qinghua Shi, 2021. "Farm size and pesticide use: evidence from agricultural production in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 13(4), pages 912-929, August.
    15. Belton, Ben & Win, Myat Thida & Zhang, Xiaobo & Filipski, Mateusz, 2021. "The rapid rise of agricultural mechanization in Myanmar," Food Policy, Elsevier, vol. 101(C).
    16. Dingqiang Sun & Michael Rickaille & Zhigang Xu, 2018. "Determinants and impacts of outsourcing pest and disease management," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(3), pages 443-461, August.
    17. Beatrice W. Muriithi & Gracious M. Diiro & Menale Kassie & Geoffrey Muricho, 2018. "Does gender matter in the adoption of sustainable agricultural technologies? A case of push-pull technology in Kenya," Working Papers PMMA 2018-05, PEP-PMMA.
    18. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2020. "Does outsourcing affect agricultural productivity of farmer households? Evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(4), pages 673-688, August.
    19. Yi, Q., 2018. "Adoption of Agricultural Mechanization Services among Maize Farmers in China: Impacts of Population Aging and Off-farm Employment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277541, International Association of Agricultural Economists.
    20. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2020. "Does outsourcing affect agricultural productivity of farmer households? Evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(4), pages 673-688, August.
    21. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Does the Agricultural Productive Service Embedded Affect Farmers’ Family Economic Welfare Enhancement? An Empirical Analysis in Black Soil Region in China," Agriculture, MDPI, vol. 12(11), pages 1-22, November.
    22. Andrés J. Picazo‐Tadeo & Ernest Reig‐Martínez, 2006. "Outsourcing and efficiency: the case of Spanish citrus farming," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 213-222, September.
    23. Isabel Lambrecht & Bernard Vanlauwe & Miet Maertens, 2016. "Agricultural extension in Eastern Democratic Republic of Congo: does gender matter?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(5), pages 841-874.
    24. Pingali, Prabhu, 2007. "Agricultural Mechanization: Adoption Patterns and Economic Impact," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 54, pages 2779-2805, Elsevier.
    25. Samuel Benin, 2015. "Impact of Ghana's agricultural mechanization services center program," Agricultural Economics, International Association of Agricultural Economists, vol. 46(S1), pages 103-117, November.
    26. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    27. Tao Chen & Muhammad Rizwan & Azhar Abbas, 2022. "Exploring the Role of Agricultural Services in Production Efficiency in Chinese Agriculture: A Case of the Socialized Agricultural Service System," Land, MDPI, vol. 11(3), pages 1-18, February.
    28. Robert Evenson & Prabhu Pingali (ed.), 2007. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 3, number 1.
    29. Liangzhen Zang & Yahua Wang & Jinkai Ke & Yiqing Su, 2022. "What Drives Smallholders to Utilize Socialized Agricultural Services for Farmland Scale Management? Insights from the Perspective of Collective Action," Land, MDPI, vol. 11(6), pages 1-25, June.
    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. Meng Qu & Kai Zhao & Renhui Zhang & Yuan Gao & Jing Wang, 2022. "Divergence between Willingness and Behavior of Farmers to Purchase Socialized Agricultural Services: From a Heterogeneity Perspective of Land Scale," Land, MDPI, vol. 11(8), pages 1-21, July.
    2. Xuelan Li & Rui Guan, 2023. "How Does Agricultural Mechanization Service Affect Agricultural Green Transformation in China?," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    3. Xue Qu & Daizo Kojima & Laping Wu & Mitsuyoshi Ando, 2022. "Do Farming Scale and Mechanization Affect Moral Hazard in Rice Harvest Outsourcing Service in China?," Agriculture, MDPI, vol. 12(8), pages 1-12, August.
    4. Liu, Yan & Heerink, Nico & Li, Fan & Shi, Xiaoping, 2022. "Do agricultural machinery services promote village farmland rental markets? Theory and evidence from a case study in the North China plain," Land Use Policy, Elsevier, vol. 122(C).
    5. Xiang Li & Xiaoqin Guo, 2023. "Can Policy Promote Agricultural Service Outsourcing? Quasi-Natural Experimental Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    6. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    7. Zhou, Xiaoshi & Ma, Wanglin, 2021. "Effects of Agricultural Mechanization on Land Productivity: Evidence from China," 2021 Conference, August 17-31, 2021, Virtual 315143, International Association of Agricultural Economists.
    8. Yingyu Zhu & Junmiao Deng & Menghan Wang & Yuanchang Tan & Wei Yao & Yan Zhang, 2022. "Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    9. Yangxiao Lu & Suhao Wei, 2024. "Outsourcing of Agricultural Machinery Operation Services and the Sustainability of Farmland Transfer Market: Promoting or Inhibiting?," Sustainability, MDPI, vol. 16(22), pages 1-19, November.
    10. Belton, Ben & Win, Myat Thida & Zhang, Xiaobo & Filipski, Mateusz, 2021. "The rapid rise of agricultural mechanization in Myanmar," Food Policy, Elsevier, vol. 101(C).
    11. Ping Xue & Xinru Han & Yongchun Wang & Xiudong Wang, 2022. "Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China," Agriculture, MDPI, vol. 12(7), pages 1-15, June.
    12. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    13. Xin Deng & Zhongcheng Yan & Dingde Xu & Yanbin Qi, 2020. "Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China," Land, MDPI, vol. 9(3), pages 1-14, March.
    14. Zhang, Cheng & Nie, Kunxi & Zhu, Yueji, 2024. "Participation in land rental and labor markets and agricultural economic performance of banana farmers in China," Land Use Policy, Elsevier, vol. 146(C).
    15. Takeshima, Hiroyuki & Houssou, Nazaire & Diao, Xinshen, 2018. "Effects of tractor ownership on returns-to-scale in agriculture: Evidence from maize in Ghana," Food Policy, Elsevier, vol. 77(C), pages 33-49.
    16. Ziming Bai & Tianyi Wang & Jiabin Xu & Cuixia Li, 2023. "Can Agricultural Productive Services Inhibit Carbon Emissions? Evidence from China," Land, MDPI, vol. 12(7), pages 1-20, June.
    17. Ruining Li & Yanli Yu, 2022. "Impacts of Green Production Behaviors on the Income Effect of Rice Farmers from the Perspective of Outsourcing Services: Evidence from the Rice Region in Northwest China," Agriculture, MDPI, vol. 12(10), pages 1-27, October.
    18. Kubitza, Christoph & Dib, Jonida Bou & Kopp, Thomas & Krishna, Vijesh V. & Nuryartono, Nunung & Qaim, Matin & Romero, Miriam & Klasen, Stephan, 2019. "Labor savings in agriculture and inequality at different spatial scales: The expansion of oil palm in Indonesia," EFForTS Discussion Paper Series 26, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    19. Shoumin Yue & Ying Xue & Jie Lyu & Kangkang Wang, 2023. "The Effect of Information Acquisition Ability on Farmers’ Agricultural Productive Service Behavior: An Empirical Analysis of Corn Farmers in Northeast China," Agriculture, MDPI, vol. 13(3), pages 1-26, February.
    20. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Thapa, Ganesh & Simtowe, Franklin, 2021. "Mechanisation of small-scale farms in South Asia: Empirical evidence derived from farm households survey," Technology in Society, Elsevier, vol. 65(C).

    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:jagris:v:13:y:2023:i:1:p:162-:d:1029758. 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.