IDEAS home Printed from https://ideas.repec.org/a/abq/ijasd1/v6y2024i1p52-61.html
   My bibliography  Save this article

Unlocking Agricultural Modernization: Economic Factors Shaping Maize Farmers' Adoption of Outsourced Services

Author

Listed:
  • Nabeel Zahid

    (COMSATS University Islamabad)

Abstract

Effective farmland management is crucial for enhancing agricultural competitiveness, ensuring food security, and achieving agricultural modernization. In the context of China's small farming system, connecting small farmers with modern agriculture poses a significant challenge. This research employs a quantitative approach to investigate the impact of factor pricing on the demand for agricultural production services, focusing on labor prices, land rent, and income from agriculture. Utilizing data from the Rural Revitalization Survey (CRRS), covering 45 villages across six cities and two provinces, the study utilizes the Double-Hurdle Model to address sample selection bias. Descriptive statistics and participation rates reveal patterns across various agricultural activities, and average costs for key services are presented. Estimated coefficients and significance levels demonstrate intriguing dynamics in Tillage, Sowing, and Harvesting Services. Small-scale farmers exhibit elastic demand, emphasizing the impactof service costs on decisions, while large-scale farmers display inelastic demand for harvesting services. Regression analyses highlight challenges faced by small-scale farmers, including impediments to tillage and harvesting services adoption due to highassociated costs. In contrast, large-scale farming operations show resilience to some cost factors. The study provides actionable insights for policymakers, agricultural service providers, and farmers, contributing significantly to the discourse on sustainable farming practices. However, limitations include assumptions about uniform service distribution across regions and reliance on cross-sectional data, suggesting the potential for enhanced reliability with the inclusion of panel data in future research.

Suggested Citation

  • Nabeel Zahid, 2024. "Unlocking Agricultural Modernization: Economic Factors Shaping Maize Farmers' Adoption of Outsourced Services," International Journal of Agriculture & Sustainable Development, 50sea, vol. 6(1), pages 52-61, March.
    • Handle: RePEc:abq:ijasd1:v:6:y:2024:i:1:p:52-61
    as

    Download full text from publisher

    File URL: https://journal.xdgen.com/index.php/ijasd/article/view/211/226
    Download Restriction: no
    File URL: https://journal.xdgen.com/index.php/ijasd/article/view/211
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiaobing & Yamauchi, Futoshi & Huang, Jikun & Rozelle, Scott, 2020. "What constrains mechanization in Chinese agriculture? Role of farm size and fragmentation," China Economic Review, Elsevier, vol. 62(C).
    2. Mishra, Ashok K. & Park, Timothy A., 2005. "An Empirical Analysis of Internet Use by U.S. Farmers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), pages 1-12, October.
    3. Yi Qing & Moyu Chen & Yu Sheng & Jikun Huang, 2019. "Mechanization services, farm productivity and institutional innovation in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(3), pages 536-554, June.
    4. Yi Qing & Moyu Chen & Yu Sheng & Jikun Huang, 2019. "Mechanization services, farm productivity and institutional innovation in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(3), pages 536-554, June.
    5. Zhou, Xiaoshi & Ma, Wanglin & Li, Gucheng & Qiu, Huanguang, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(04), January.
    6. Xiaoshi Zhou & Wanglin Ma & Gucheng Li & Huanguang Qiu, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1282-1307, October.
    7. Paramati, Sudharshan Reddy & Ummalla, Mallesh & Apergis, Nicholas, 2016. "The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies," Energy Economics, Elsevier, vol. 56(C), pages 29-41.
    8. Menale Kassie & Precious Zikhali & Kebede Manjur & Sue Edwards, 2009. "Adoption of sustainable agriculture practices: Evidence from a semi‐arid region of Ethiopia," Natural Resources Forum, Blackwell Publishing, vol. 33(3), pages 189-198, August.
    9. Xiaobing Wang & Futoshi Yamauchi & Jikun Huang, 2016. "Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 309-317, May.
    10. Xiuhao Quan & Reiner Doluschitz, 2021. "Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
    11. Muhammad Ali Imran & Asghar Ali & Muhammad Ashfaq & Sarfraz Hassan & Richard Culas & Chunbo Ma, 2018. "Impact of Climate Smart Agriculture (CSA) Practices on Cotton Production and Livelihood of Farmers in Punjab, Pakistan," Sustainability, MDPI, vol. 10(6), pages 1-20, 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. Xiuhao Quan & Reiner Doluschitz, 2021. "Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
    2. Wang, Lulu & Lyu, Jie & Wang, Shanshan & Zhang, Junyan, 2025. "Unveiling the influence of agricultural mechanization on greenhouse gas emission intensity: Insights from China using causal machine learning model," Agricultural Systems, Elsevier, vol. 226(C).
    3. Meng, Meng & Zhang, Wuke & Zhu, Xi & Shi, Qinghua, 2024. "Agricultural mechanization and rural worker mobility: Evidence from the Agricultural Machinery Purchase Subsidies programme in China," Economic Modelling, Elsevier, vol. 139(C).
    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. Liu, Xinyue & Wang, Xiaobing & Xu, Zhigang, 2023. "The polarization and constraints of scale farming in China under the impact of rising wages," Journal of Asian Economics, Elsevier, vol. 86(C).
    6. Dan Pan & Jinlong Zhou & Yi Yu & Shengdong Chen, 2024. "Rural Collective Property Rights System Reform and Urban-Rural Income Gap: A County-Scale Big Data Analysis in China," SAGE Open, , vol. 14(3), pages 21582440241, August.
    7. Xi Yu & Xiyang Yin & Yuying Liu & Dongmei Li, 2021. "Do Agricultural Machinery Services Facilitate Land Transfer? Evidence from Rice Farmers in Sichuan Province, China," Land, MDPI, vol. 10(5), pages 1-14, April.
    8. Yin, Guanqiu & You, Yuxuan & Han, Xiaoyan & Chen, Di, 2024. "The effect of agricultural scale management on farmers' income from a dual-scale perspective: Evidence from rural China," International Review of Economics & Finance, Elsevier, vol. 94(C).
    9. 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.
    10. Xinyi Li & Junichi Ito, 2025. "Multiple roles of agricultural cooperatives in improving farm technical efficiency: A case study of rural Gansu, China," Agribusiness, John Wiley & Sons, Ltd., vol. 41(2), pages 424-444, April.
    11. Liang Chi & Shuqing Han & Meili Huan & Yajuan Li & Jifang Liu, 2022. "Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China," IJERPH, MDPI, vol. 19(13), pages 1-17, July.
    12. Sui, Jianli & Lv, Wenqiang & Xie, Huailing & Xu, Xiaodong, 2024. "Towards Low-Carbon Agricultural Production: Evidence from China's Main Grain-Producing Areas," Finance Research Letters, Elsevier, vol. 60(C).
    13. Cao, Yueming & Bai, Yunli & Zhang, Linxiu, 2024. "Do the types of agricultural socialized services and their diverse suppliers matter to farmland renting in rural China?," Journal of Asian Economics, Elsevier, vol. 94(C).
    14. Yingzheng Yan & Liupeng Chen & Ziwei Zhou & Yuanzhu Wei, 2025. "Digital financial inclusion and agricultural modernization development in China—a study based on the perspective of agricultural mechanization services," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    15. Hongyun Zheng & Wanglin Ma, 2021. "The role of resource reallocation in promoting total factor productivity growth: Insights from China’s agricultural sector," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2350-2371, November.
    16. Zhang, Siqi & Cai, Rong & Wang, Shujuan, 2025. "Impact of public investment on agricultural productivity growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1442-1455.
    17. Sushil Gupta & Hossein Rikhtehgar Berenji & Manish Shukla & Nagesh N. Murthy, 2023. "Opportunities in farming research from an operations management perspective," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1577-1596, June.
    18. Zakia Batool & Qurat ul Ain & Abdul Rehman, 2024. "Exploring the effects of farm mechanization, financial development, and renewable energy on China’s food production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18883-18902, July.
    19. Meili Huan & Fengxia Dong & Liang Chi, 2022. "Mechanization services, factor allocation, and farm efficiency: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1618-1639, August.
    20. Zara Ahmad, 2025. "Navigating the Future of Work The Impact of Artificial Intelligence and Automation on Job Displacement and Workforce Resilience," Magna Carta: Contemporary Social Science, 50sea, vol. 4(1), pages 46-55, March.

    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:abq:ijasd1:v:6:y:2024:i:1:p:52-61. 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: Iqra Nazeer (email available below). General contact details of provider: .

    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.