Next Article in Journal
Place-Specific Corona Dashboards for Health Policy: Design and Application of a ‘Dutchboard’
Next Article in Special Issue
Application of Best Available Techniques to Remove Air and Water Pollutants from Textile Dyeing and Finishing in South Korea
Previous Article in Journal
Mapping Green Infrastructure Based on Multifunctional Ecosystem Services: A Sustainable Planning Framework for Utah’s Wasatch Front
Previous Article in Special Issue
Relationship Analysis among Apparel Brand Image, Self-Congruity, and Consumers’ Purchase Intention
Article

Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case

1
Pakistan Research Center, Inner Mongolia Honder College of Arts and Sciences, Hohhot 010010, China
2
College of Economics and Management, Inner Mongolia Agriculture University, Hohhot 010010, China
3
School of Business and Tourism, Southern Cross University, East Lismore, NSW 2480, Australia
4
Department of Botany, University of Agriculture, Faisalabad 38000, Punjab, Pakistan
*
Authors to whom correspondence should be addressed.
Academic Editors: Hafeezullah Memon, Xiaoke Jin, Tian Wei, Chengyan Zhu and Marc A. Rosen
Sustainability 2022, 14(2), 840; https://doi.org/10.3390/su14020840
Received: 19 October 2021 / Revised: 8 January 2022 / Accepted: 9 January 2022 / Published: 12 January 2022
(This article belongs to the Special Issue Sustainable Textile Marketing)
Managing the declining yield of non-food crops has opened new strategic challenges amidst global uncertainties. The COVID-19 scenario has increased awareness of natural lifestyle and eco-friendly products, largely dependent on non-food crop material. This strategic shift requires moving beyond traditional farm practices to improve agricultural production efficiency, and developing countries in particular have shown a consistent loss in their self-sufficiency of industrial crops despite being major exporters of non-food crop materials. However, existing studies analyze production efficiencies of non-food crops from general or theoretical aspects often by virtual estimates from breaking down the multiple factors of crop productivity. This study examined multiple factors of crop production to identify “which crop inputs have been inefficiently used overtime” by tracking efficiency changes and various input issues in overall cotton production from practical aspects, i.e., scaling non-constant returns of those multiple factors would allow for the violation of various situations. Accordingly, a stochastic frontier approach was employed to measure the production frontier and efficiency relationship using time-series data of Pakistan’s cotton production from 1971–2018—a specific non-food crop perspective from a top-ranked cotton-producing country that has recently been shifted towards being a non-exporter of cotton due to low yield. The coefficient of area, seed, and labor indicates the positive relationship with cotton production, while fertilizer, irrigation, electricity, and machinery are statistically negative. This implies that policymakers need priority-based strategies for the judicial use of synthetic fertilizers, irrigation, a subsidy policy, and technology adoption, which could significantly improve the efficiencies of cotton productivity from the same land resources. Being adaptable to other developing economies, the analysis would strategically facilitate designing and developing affordable technology-driven solutions and their customized extensions towards sustainable non-food crop production practices and Agri-Resources efficiencies. View Full-Text
Keywords: crop production inefficiencies; stochastic frontier approach; total factor productivity; non-food crop; developing countries crop production inefficiencies; stochastic frontier approach; total factor productivity; non-food crop; developing countries
Show Figures

Figure 1

MDPI and ACS Style

Arshad, M.U.; Zhao, Y.; Hanif, O.; Fatima, F. Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case. Sustainability 2022, 14, 840. https://doi.org/10.3390/su14020840

AMA Style

Arshad MU, Zhao Y, Hanif O, Fatima F. Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case. Sustainability. 2022; 14(2):840. https://doi.org/10.3390/su14020840

Chicago/Turabian Style

Arshad, Muhammad U., Yuanfeng Zhao, Omer Hanif, and Faiza Fatima. 2022. "Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case" Sustainability 14, no. 2: 840. https://doi.org/10.3390/su14020840

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop