Technical efficiency of hybrid maize growers: A stochastic frontier model approach

作     者：Imad Ali HUO Xue-xi Imran Khan Hashmat Ali Khan Baz Sufyan Ullah Khan 

作者机构：College of Economics and ManagementNorthwest A&F UniversityYangling 712100P.R.China School of EconomicsDongbei University of Finance and EconomicsDalian 116025P.R.China School of Economics and ManagementChina University of GeosciencesWuhan 430074P.R. China 

出 版 物：《Journal of Integrative Agriculture》 (农业科学学报（英文版）)

年 卷 期：2019年第18卷第10期

页      面：2408-2421页

核心收录：

学科分类：09[农学] 

基　　金：sponsored by the National Natural Social Science Foundation of China (71573211) 

主　　题：stochastic frontier analysis maize growers technical efficiency credit rationing and credit markets in Pakistan 

摘      要：This study investigated the effect of credit constraints and credit unconstraints on the technical efficiency of hybrid maize growers in the Khyber Pakhtunkhwa Province(KPK) of Pakistan. The primary data were collected by a direct elicitation method from 510 maize growers of KPK Province. Stochastic frontier model techniques were used for technical efficiency analyses. The results revealed that the mean technical efficiency difference between the two groups was 10.2%. The results of technical inefficiency effect modeling demonstrated that education of the household head, family size, number of married family members, off-farm income, farming experience, tractor drill, water irrigation through a lined course, certified seed, extension services, household saving variables, and a credit size variable had positive effects on technical efficiency for both credit constrained farmers(CCFs) and credit unconstrained farmers(UCCFs). In addition, age of household head and fragmented land values had negative effects on technical efficiency for both groups. However, the interest rate had positive and negative impacts on the technical efficiency of CCFs and UCCFs, respectively. Our results have significant implications for policies related to land use, interest rate, and banking sector expansion in the rural areas of Pakistan.