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Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

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  • Wei Wei
  • Zulqarnain Mushtaq
  • Amir Ikram
  • Muhammad Faisal
  • Zhang Wan-Li
  • Muhammad Irshad Ahmad

Abstract

Considering the farmer’s decision of quitting cotton plantation due to low economic incentives, the current research is intended to evaluate the economic viability of cotton growers in Punjab. A comprehensively pretested questionnaire was used to gather the information from 240 cotton growers in face-to-face interviews. The cost–benefit ratio was estimated by calculating incurred variable costs, revenue generated, net farm income, and gross margin. The data envelopment analysis was applied to explore the economic, technical, and allocative efficiencies of the cotton producers. The second-stage regression analysis was also conducted to evaluate the socioeconomic factors affecting farmer’s efficiencies by applying the Tobit regression model. The small farmers were found to be most vulnerable group with low returns on investments and low technical and economics efficiencies score. The results also indicate that the financial constraints, difficulty to access agriculture credit, access to extension services, and lack of formal education are the main factors affecting farmer’s efficiency. The government should regulate the input prices and agriculture department should provide formal training to the farmers to adopt better management practices to reduce cost of production.

Suggested Citation

  • Wei Wei & Zulqarnain Mushtaq & Amir Ikram & Muhammad Faisal & Zhang Wan-Li & Muhammad Irshad Ahmad, 2020. "Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan," SAGE Open, , vol. 10(2), pages 21582440209, May.
  • Handle: RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020929310
    DOI: 10.1177/2158244020929310
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    1. Guofeng Wang & Nan Lin & Xiaoxue Zhou & Zhihui Li & Xiangzheng Deng, 2018. "Three-Stage Data Envelopment Analysis of Agricultural Water Use Efficiency: A Case Study of the Heihe River Basin," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    2. Singh, Surendra & Mittal, J. P. & Singh, M. P. & Bakhshi, R., 1988. "Energy-use patterns under various farming systems in Punjab," Applied Energy, Elsevier, vol. 30(4), pages 261-268.
    3. Basso, Antonella & Casarin, Francesco & Funari, Stefania, 2018. "How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums," Omega, Elsevier, vol. 81(C), pages 67-84.
    4. L. Dean Hiebert, 1974. "Risk, Learning, and the Adoption of Fertilizer Responsive Seed Varieties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(4), pages 764-768.
    5. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2006. "Energy inputs and crop yield relationship in greenhouse tomato production," Renewable Energy, Elsevier, vol. 31(4), pages 427-438.
    6. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
    7. lo Storto, Corrado, 2018. "The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 77-85.
    8. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    9. Mohammadi, Ali & Omid, Mahmoud, 2010. "Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran," Applied Energy, Elsevier, vol. 87(1), pages 191-196, January.
    10. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Economic Efficiency in Organic Farming: Evidence from Cotton Farms in Viotia, Greece," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(1), pages 35-48, April.
    11. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    12. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    13. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    14. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    15. Kizilaslan, Halil, 2009. "Input-output energy analysis of cherries production in Tokat Province of Turkey," Applied Energy, Elsevier, vol. 86(7-8), pages 1354-1358, July.
    16. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    17. M. Ishaq Javed & Sultan Ali Adil & Sarfaraz Hassan & Asghar Ali, 2009. "An Efficiency Analysis of Punjab’s Cotton-Wheat System," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 14(2), pages 97-124, Jul-Dec.
    18. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    19. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2005. "An econometric analysis of energy input-output in Turkish agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 608-623, December.
    20. Abdul Hameed & Ihtsham ul Haq Padda & Abdul Salam, 2014. "Estimation of Productivity and Efficiency of Cotton Farmers: A Case Study of District Dera Ghazi Khan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 6(2), pages 63-82, October.
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