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Technical Efficiency and Economic Analysis of Rice Crop in Khyber Pakhtunkhwa: A Stochastic Frontier Approach

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  • Salman Khan

    (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25120, Pakistan)

  • Syed Attaullah Shah

    (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25120, Pakistan)

  • Shahid Ali

    (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25120, Pakistan)

  • Amjad Ali

    (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25120, Pakistan)

  • Lal K. Almas

    (Paul Engler College of Agriculture & Natural Sciences, West Texas A&M University, Canyon, TX 79015, USA)

  • Sania Shaheen

    (Paul Engler College of Agriculture & Natural Sciences, West Texas A&M University, Canyon, TX 79015, USA
    International Institute of Islamic Economics (IIIE), International Islamic University, Islamabad 44000, Pakistan)

Abstract

Pakistan is one of the world’s leading producers, exporters, and consumers of rice. This study analyzes the technical efficiency of rice growing farmers in the Swat district of the Khyber Pakhtunkhwa province of Pakistan. A three-stage sampling procedure was used to interview 204 rice growers through a well-structured and pretested interview schedule. The maximum likelihood function results showed that chemicals, urea, diammonium phosphate (DAP), labor, and farmyard manure (FYM-dummy) were positive and had a statistically significant effect on rice yield; this implies that a 1% increase in chemicals, urea, DAP, labor, and FYM leads to an increase in rice production by 0.22%, 0.25%, 0.02%, 0.03%, and 0.01%, respectively. The estimated results of model 2 reported that respondents’ age had a positive significant effect on inefficiency, showing that with a rise in farmers’ age, the farmers’ inefficiency significantly increased. The education and experience of farmers were negative and significant, implying that these variables significantly decreased the farmers’ inefficiency. Furthermore, the results showed the mean technical efficiency as 87%, with a minimum of 66% and a maximum of 99%. The study recommends that the extension department needs to arrange training programs for the rice growers in this specific area to boost rice yield, enhance agronomic skills, and facilitate these farmers with the technical knowledge for efficient production.

Suggested Citation

  • Salman Khan & Syed Attaullah Shah & Shahid Ali & Amjad Ali & Lal K. Almas & Sania Shaheen, 2022. "Technical Efficiency and Economic Analysis of Rice Crop in Khyber Pakhtunkhwa: A Stochastic Frontier Approach," Agriculture, MDPI, vol. 12(4), pages 1-15, April.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:4:p:503-:d:786046
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    References listed on IDEAS

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    1. Lema, Tadesse Zenebe & Tessema, Solomon Amare & Abebe, Fentahun Addis, 2016. "Analysis of technical efficiency of rice production in fogera district of Ethiopia: A stochastic frontier approach," MPRA Paper 77774, University Library of Munich, Germany, revised 2017.
    2. Liu, Zinan & Zhuang, Juzhong, 2000. "Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 545-564, September.
    3. Narala, Anuradha & Zala, Y.C., 2010. "Technical Efficiency of Rice Farms under Irrigated Conditions in Central Gujarat," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 23(2), July.
    4. Musa Hasen Ahmed & Kumilachew Alamerie Melesse, 2018. "Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-15, December.
    5. Stefan Bäckman & K.M. Zahidul Islam & John Sumelius, 2011. "Determinants of Technical Efficiency of Rice Farms in North-Central and North-Western Regions in Bangladesh," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 73-94, July-Dece.
    6. Amadou Nchare, 2007. "Analysis of factors affecting the technical efficiency of arabica coffee producers in Cameroon," Working Papers 163, African Economic Research Consortium, Research Department.
    7. Shapiro, Kenneth H & Muller, Jurgen, 1977. "Sources of Technical Efficiency: The Roles of Modernization and Information," Economic Development and Cultural Change, University of Chicago Press, vol. 25(2), pages 293-310, January.
    8. Abedullah & Shahzad Kouser & Khalid Mushtaq, 2010. "Environmental Efficiency Analysis of Basmati Rice Production in Punjab, Pakistan: Implications for Sustainable Agricultural Development," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 49(1), pages 57-72.
    9. Ahmad, Munir & Rafiq, Muhammad & Ali, Asgar, 1999. "An Analysis Of Technical Efficiency Of Rice Farmers In Pakistani Punjab," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 22(2), pages 1-08, December.
    10. Hussain, Nabeel & Ali, Shahid & Miraj, Naveed & Sajjad, Muhammad, 2014. "An Estimation Of Technical Efficiency Of Garlic Production In Khyber Pakhtunkhwa Pakistan," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(2), pages 1-10, April.
    11. Reddy, A.R. & Sen, C., 2004. "Technical Inefficiency in Rice Production and Its Relationship with Farm-Specific Socio-Economic Characteristics," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 59(2), pages 1-9.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    3. Vivi Silvia & Sartiyah & Muhammad Raihan Fitra & Cut Nadira, 2023. "Determinant of Patchouli Production in Aceh Jaya Regency Aceh Province," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 99-121, June.

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