Does Formal Credit Enhance Sugarcane Productivity? A Farm-Level Study of Sindh, Pakistan

被引:5
|
作者
Chandio, Abbas Ali [1 ]
Jiang, Yuansheng [1 ]
Rehman, Abdul [2 ]
Akram, Waqar [3 ]
机构
[1] Sichuan Agr Univ, Coll Econ, Chengdu 611130, Peoples R China
[2] Henan Agr Univ, Coll Econ & Management, Zhengzhou, Peoples R China
[3] Sukkur IBA Univ, Dept Business Adm, Sukkur, Pakistan
来源
SAGE OPEN | 2021年 / 11卷 / 01期
基金
中国国家社会科学基金;
关键词
formal credit; sugarcane productivity; probit regression; Cobb-Douglas; AGRICULTURAL CREDIT; TECHNICAL EFFICIENCY; ACCESS; IMPACT; AFRICA; SIZE;
D O I
10.1177/2158244020988533
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
In this study, we used the probit model to find out the determinants of access to formal credit and then we applied the Cobb-Douglas production function to examine the impact of formal credit on sugarcane productivity. To elicit the choice and consequence of sugarcane productivity, we divided the farmers into two groups: borrowers and nonborrowers. A total sample comprised 120 sugarcane growers from Badin District-rich in sugarcane production-Sindh, Pakistan. For analysis purposes, we used a binary-choice probit model that reveals significantly positive relationship between access to formal credit and farmer's education level, landholding size, farming experience, and household size. The main driver to access formal credit is landholding because it is used as collateral against the loan. The age of the farmers, which was found negative and significant, shows that aged farmers are risk-averse and reluctant to access credit. The results of Cobb-Douglas production function affirm significantly positive impact of formal credit on sugarcane productivity. The credit access and use in the production process can enhance the crop production and overall income of the farmers. Therefore, secure and timely availability of crop-specific credit can help the farmers to use inputs in a timely and recommended manner.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [1] The contribution of innovation to farm-level productivity
    Iordanis, Parikoglou
    Grigorios, Emvalomatis
    Lapple, Doris
    Thorne, Fiona
    Wallace, Michael
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2024, 62 (02) : 239 - 255
  • [2] Do Estimates of Water Productivity Enhance Understanding of Farm-Level Water Management?
    Wichelns, Dennis
    WATER, 2014, 6 (04): : 778 - 795
  • [3] Determinants of demand for credit by smallholder farmers': a farm level analysis based on survey in Sindh, Pakistan
    Chandio, Abbas Ali
    Jiang, Yuansheng
    Rehman, Abdul
    Twumasi, Martinson Ankrah
    Pathan, Amber Gul
    Mohsin, Muhammad
    JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 2021, 28 (03): : 225 - 240
  • [4] The Impact of Formal Agricultural Credit on Farm Productivity and Its Utilization in Khyber Pakhtunkhwa, Pakistan
    Chaiya, Chitralada
    Sikandar, Sikandar
    Pinthong, Pichate
    Saqib, Shahab E.
    Ali, Niaz
    SUSTAINABILITY, 2023, 15 (02)
  • [5] ANALYZING THE FARM-LEVEL IMPACT OF AGRICULTURAL CREDIT - DISCUSSION
    MEYER, RL
    AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 1990, 72 (05) : 1158 - 1160
  • [6] Farm-level credit rationing: Lender or operator imposed?
    Bierlen, R
    Featherstone, AM
    AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 1996, 78 (05) : 1405 - 1405
  • [7] Farm-level autonomous adaptation to climate change and its impact on crop productivity: evidence from Pakistan
    Khan, Nasir Abbas
    Gong, Zaiwu
    Shah, Ashfaq Ahmad
    Abid, Muhammad
    Khanal, Uttam
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2021,
  • [8] Impact of climate change on farm-level technical efficiency in Punjab, Pakistan
    Zahid, Khush Bukhat
    Shah, Hassnain
    CLIMATE RESEARCH, 2024, 92 : 65 - 77
  • [9] Perceived farm-level climatic impacts on coastal agricultural productivity in Bangladesh
    Hasan, Md Kamrul
    Kumar, Lalit
    CLIMATIC CHANGE, 2020, 161 (04) : 617 - 636
  • [10] Perceived farm-level climatic impacts on coastal agricultural productivity in Bangladesh
    Md Kamrul Hasan
    Lalit Kumar
    Climatic Change, 2020, 161 : 617 - 636