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Institutional credit and rice productivity: a case study of District Lahore, Pakistan

Author

Listed:
  • Muhammad Khalid Bashir
  • Yasir Mehmood
Abstract
Purpose - The purpose of this paper is to analyze how institutional credit affected the productivity of rice crop in District Lahore, Punjab Pakistan. Design/methodology/approach - For this purpose, stratified random sampling technique was adopted to select the sample respondents. The district was divided into three strata; from each stratum two villages were randomly selected and from each village ten loanee farmers were randomly selected from the given list of borrowers. An equal number of non‐loanee farmers were also selected. Cobb Douglas function was used to calculate the impact of credit on rice productivity. Findings - The coefficient of credit was significant, which indicated that credit has a positive impact on the productivity of rice, providing a clue that credit is an important tool for improving and increasing the agricultural productivity in general and that of rice in particular. Originality/value - The paper will be an important addition to the literature in the current credit impact studies and will help especially the agricultural planners who are responsible for allocating funds for the agricultural sector in general and for the rice sector in particular. The paper's recommendations will help mitigate the problems of the farming community, especially of the small farmers in securing the institutional credit.

Suggested Citation

  • Muhammad Khalid Bashir & Yasir Mehmood, 2010. "Institutional credit and rice productivity: a case study of District Lahore, Pakistan," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(4), pages 412-419, November.
    • Handle: RePEc:eme:caerpp:v:2:y:2010:i:4:p:412-419
    DOI: 10.1108/17561371011097722
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    References listed on IDEAS

    as
    1. Muhammad Iqbal & Munir Ahmad & Kalbe Abbas, 2003. "The Impact of Institutional Credit on Agricultural Production in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 42(4), pages 469-485.
    2. Muhammad Khalid Bashir & Zulfiqar Ahmad Gill & Sarfraz Hassan, 2009. "Impact of credit disbursed by commercial banks on the productivity of wheat in Faisalabad district," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(3), pages 275-282, May.
    3. Carter, Michael R., 1989. "The impact of credit on peasant productivity and differentiation in Nicaragua," Journal of Development Economics, Elsevier, vol. 31(1), pages 13-36, July.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Hussain, Anwar Hussain, 2012. "Impact of Credit Disbursement, Area under Cultivation, Fertilizer Consumption and Water Availability on Rice Production in Pakistan (1988-2010)," MPRA Paper 41963, University Library of Munich, Germany.
    3. Abbas Ali Chandio & Yuansheng Jiang & Feng Wei & Abdul Rehman & Dan Liu, 2017. "Famers’ access to credit: Does collateral matter or cash flow matter?—Evidence from Sindh, Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1369383-136, January.
    4. Abbas Ali Chandio & Fayyaz Ahmad & Ghulam Raza Sargani & Asad Amin & Martinson Ankrah Twumasi, 2022. "Analyzing the effective role of formal credit and technological development for rice cultivation," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 683-711, June.
    5. Abbas Ali Chandio & Yuansheng Jiang & Abdul Rauf & Fayyaz Ahmad & Waqas Amin & Khurram Shehzad, 2020. "Assessment of Formal Credit and Climate Change Impact on Agricultural Production in Pakistan: A Time Series ARDL Modeling Approach," Sustainability, MDPI, vol. 12(13), pages 1-21, June.
    6. Md.Salamun Rashidin & Sara Javed & Bin Liu & Wang Jian, 2020. "Ramifications of Households’ Nonfarm Income on Agricultural Productivity: Evidence From a Rural Area of Pakistan," SAGE Open, , vol. 10(1), pages 21582440209, January.
    7. Adewale Isaac Olutumise, 2023. "Impact of credit on the climate adaptation utilization among food crop farmers in Southwest, Nigeria: application of endogenous treatment Poisson regression model," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-19, December.

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