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Socioeconomics Determinants to Adopt Agricultural Machinery for Sustainable Organic Farming in Pakistan: A Multinomial Probit Model

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  • Muhammad Waqar Akram

    (College of Economics & Management, North East Forestry University, Harbin 150040, China
    Department of Business Administration, Ilma University, Main Ibrahim Hyderi Road, Korangi Creek, Karachi 75190, Pakistan)

  • Nida Akram

    (College of Economics & Management, North East Forestry University, Harbin 150040, China)

  • Hongshu Wang

    (College of Economics & Management, North East Forestry University, Harbin 150040, China)

  • Shahla Andleeb

    (Department of Environmental Science, Government College Women University, Sialkot 51310, Pakistan)

  • Khalil Ur Rehman

    (Department of Environmental Science, Government College Women University, Sialkot 51310, Pakistan)

  • Umair Kashif

    (College of Economics & Management, North East Forestry University, Harbin 150040, China)

  • Syed Farhaan Hassan

    (Department Business Administration, Allama Iqbal Open University, Islamabad 44000, Pakistan)

Abstract

Urbanization and low productivity are real threats to the sustainability of organic farming. The adoption of farm machinery plays a vital role in overcoming these threats to ensure a sustainable and more profitable organic farming model. Farm machinery can also increase farmland yield and reduce the need for labor, although the requirement of significant capital investment often prevents small farmers from buying machinery. There is an increased need to comprehend all relevant elements associated with farming machinery procurement and service delivery. In this article, we provide insight into the impact of different variables of farmers on the adoption of agricultural equipment. A total of 301 organic farmers were surveyed in three districts of Punjab, Pakistan. It was found that the most common machinery concerned herein are tube-well/pumps, tractors, tillage machinery, and thrashers/harvesters. Results from a multinomial probit estimation showed that farm machinery ownership is positively correlated with capital assets, civil infrastructure, alternative sources of power, and credit facility. The findings indicated that policymakers and stakeholders should not concentrate merely on short term planning, such as improving agricultural machinery’s adoption rate. Still, they should also strive to upgrade physical infrastructure and facilities and provide credit services to create an enabling environment that can empower the citizen in adopting large scale use of agricultural machinery for long term sustainability of organic farming.

Suggested Citation

  • Muhammad Waqar Akram & Nida Akram & Hongshu Wang & Shahla Andleeb & Khalil Ur Rehman & Umair Kashif & Syed Farhaan Hassan, 2020. "Socioeconomics Determinants to Adopt Agricultural Machinery for Sustainable Organic Farming in Pakistan: A Multinomial Probit Model," Sustainability, MDPI, vol. 12(23), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9806-:d:450279
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    Cited by:

    1. Nikola Puvača & Vincenzo Tufarelli, 2022. "Sustainable Organic Agriculture for Developing Agribusiness Sector," Sustainability, MDPI, vol. 14(17), pages 1-3, August.
    2. 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).
    3. R Chitra & N L Balasudarsun & M Sathish & R Jagajeevan, 2023. "Supply chain modelling in organic farming for sustainable profitability," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(6), pages 255-266.
    4. Xin Ma & Tao Huang, 2023. "China's Rural Industrialization and Agricultural Mechanization," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(3), pages 27-58, May.
    5. Ali Raza & Guangji Tong & Vasilii Erokhin & Alexey Bobryshev & Lyubov Chaykovskaya & Natalya Malinovskaya, 2023. "Sustaining Performance of Wheat–Rice Farms in Pakistan: The Effects of Financial Literacy and Financial Inclusion," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    6. Masaood Moahid & Ghulam Dastgir Khan & Yuichiro Yoshida & Niraj Prakash Joshi & Keshav Lall Maharjan, 2021. "Agricultural Credit and Extension Services: Does Their Synergy Augment Farmers’ Economic Outcomes?," Sustainability, MDPI, vol. 13(7), pages 1-23, March.

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