Socio-economic, farm, and information variables influencing farmer’s decision to adopt a sustainable way of cotton production

Hafiz Z. Mehmood, Azhar Abbas, Sarfraz Hassan, Raza Ullah


Conventional cotton production in Pakistan is viewed as no more productive due to the increasing costs of production and environmental degradation. The better cotton initiative (BCI) is one of the eminent sustainable ways of producing cotton in Pakistan. Although, the majority of cotton growers are still associated with conventional farming. This study examined the socio-economic factors affecting the participation of farmers in a better cotton initiative program. A survey of cotton growers, using multistage random sampling technique, was conducted in three cotton-growing districts of Punjab from three different agro-ecological zones. Primary as well as secondary (where necessary) data were taken from a sample of a total of 399 farmers (BCI as well as non-BCI) and WWF-P respectively for analysis. IBM SPSS statistics 20 was used for statistical and econometric estimations. Results indicate that farmers’ education, farming experience, the area under cotton, contact with BCI staff, contact with BCI registered farmers, perceptions about the higher cost of production, more price than conventional cotton production have a significant positive effect on the adoption of ‘Better cotton’ (BC) production. Land ownership and age of respondents were statistically non-significant with adoption. Poor health status also has a significant positive relationship with the adoption of BC farming. The study findings imply that adoption of BC can be accelerated by increasing farmers' education, training, and communication with the BCI team, and, most significantly, by pricing BC produce fairly.


Sustainable; Better cotton; Conventional system; Environmental degradation; Adoption


Abbas, S. 2020. Climate change and cotton production: an empirical investigation of Pakistan. Environmental Science and Pollution Research, 27: 29580-88.

Addis, T., A. Kachi and J. Wang. 2021. A review of current state and future directions of cotton production in Ethiopia. Cogent Food & Agriculture, 7.

Ahmad, S. and M. Hasanuzzaman. 2020. Cotton production and uses. Springer.

Ahmed, Z., M. M. Asghar, M. N. Malik and K. Nawaz. 2020. Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China. Resources Policy, 67: 101677.

Bagheri, A., N. Emami and C. A. Damalas. 2021. Farmers' behavior towards safe pesticide handling: An analysis with the theory of planned behavior. Science of The Total Environment, 751: 141709.

BCI. 2018. ‘BCI annual report 2017’, available at: Place Published.

Despotović, J., V. Rodić and F. Caracciolo. 2019. Factors affecting farmers’ adoption of integrated pest management in Serbia: An application of the theory of planned behavior. Journal of Cleaner Production, 228: 1196-205.

Ferrigno, S. 2016. Mind the gap: towards a more sustainable cotton market. report by Pesticides Action Network, UK, Solidaridad and WWF, available at: https://tinyurl. com/yy7ajd5q (accessed on July 08, 2020).

Gujarati, D. N., D. C. Porter and S. Gunasekar. 2012. Basic econometrics. Tata mcgraw-hill education.

Hassan, S. T., E. Xia, N. H. Khan and S. M. A. Shah. 2018. Economic growth, natural resources, and ecological footprints: evidence from Pakistan. Environmental Science and Pollution Research, 26: 2929-38.

Hussain, A. and G. B. Thapa. 2012. Smallholders’ access to agricultural credit in Pakistan. Food Security, 4: 73-85.

ICAC. 2011. Descriptions of Production Programs: Organic, Fair Trade, Cotton Made in Africa, and the Better Cotton Initiative, Standing Committee, Attachment III to SC-N-509, February 3, Washington, DC. pp. 1-15. Place Published.

Khalid, Z., M. A. u. R. Naseer, R. Ullah and S. Khan. 2021. Measuring the Global Trade Competitiveness of Pakistan’s Cotton Crop. Sarhad journal of agriculture, 37.

Khan, S., F. Ouyang and E. Tamer. 2021. Inference on semiparametric multinomial response models. Quantitative Economics, 12: 743-77.

Kumar, R. 2016. Evaluation of the early impacts of the better cotton initiative on smallholder cotton producers. American Economic Association. Place Published.

Lin, N. and K. R. Roberts. 2020. Using the theory of planned behavior to predict food safety behavioral intention: A systematic review and meta-analysis. International Journal of Hospitality Management, 90: 102612.

Maqbool, M. S. and T. Mahmood. 2020. A Comparative Analysis of Export Competitiveness of Top Five Cotton Exporting Countries. Pakistan Journal of Social Sciences (PJSS), 40.

Matloob, A., F. Aslam, H. U. Rehman, A. Khaliq, S. Ahmad, A. Yasmeen and N. Hussain. 2020. Cotton-Based Cropping Systems and Their Impacts on Production. Springer Singapore. Place Published. pp.283-310.

Mukherjee, C., H. White and M. Wuyts. 2013. Econometrics and data analysis for developing countries. Routledge. Place Published.

Namara, R. E., R. K. Nagar and B. Upadhyay. 2007. Economics, adoption determinants, and impacts of micro-irrigation technologies: empirical results from India. Irrigation Science, 25: 283-97.

PAN UK Solidaridad and WWF. 2017. Sustainable cotton ranking: assessing company performance’, available at: Place Published.

PARC. 1980. Agroecological regions of Pakistan. Pakistan Agriculture Research Council, Islamabad. Place Published.

Qasim, S., R. P. Shrestha, G. P. Shivakoti and N. K. Tripathi. 2011. Socio-economic determinants of land degradation in Pishin sub-basin, Pakistan. International Journal of Sustainable Development & World Ecology, 18: 48-54.

Rajpar, I. and J. G. Barrett. 2019. Optimizing growth factor induction of tenogenesis in three-dimensional culture of mesenchymal stem cells. Journal of tissue engineering, 10: 2041731419848776-76.

Razzaq, A., M. M. Zafar, A. Ali, A. Hafeez, W. Batool, Y. Shi, W. Gong and Y. Yuan. 2021. Cotton germplasm improvement and progress in Pakistan. Journal of Cotton Research, 4.

Savari, M. and H. Gharechaee. 2020. Application of the extended theory of planned behavior to predict Iranian farmers’ intention for safe use of chemical fertilizers. Journal of Cleaner Production, 263: 121512.

Schueneman, T. 2014. The Better Cotton Initiative: Making Sustainable Cotton Mainstream. [online]. Available at http://www.triple (Accessed September 2019). Place Published.

Ullah, A. and S. R. Perret. 2014. Technical- and Environmental-Efficiency Analysis of Irrigated Cotton-Cropping Systems in Punjab, Pakistan Using Data Envelopment Analysis. Environmental Management, 54: 288-300.

Voora, V., C. Larrea and S. Bermudez. 2020. Global Market Report: Cotton. International Institute for Sustainable Development (IISD). Place Published.

Yamane, T. 1967. Statistics: An Introductory Analysis, 2nd Edition, New York: Harper and Row. Place Published.

Zulfiqar, F. and G. B. Thapa. 2017. Agricultural sustainability assessment at provincial level in Pakistan. Land Use Policy, 68: 492-502.

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DOI: 10.33687/ijae.010.01.4010


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