Article Abstract

Volume 24, No. (5), 2014 (October)
RE-EXAMINING THE INVERSE RELATIONSHIP BETWEEN FARM SIZE AND PRODUCTIVITY IN PAKISTAN
H. Z. Mahmood, **M. Qasim, ***M. Khan and ***M. I. U. Husnain

H. Z. Mahmood, **M. Qasim, ***M. Khan and ***M. I. U. Husnain

**Social Sciences Research Institute (PARC), AARI, Faisalabad
*** COMSATS Institute of Information Technology, Defense Road OffRaiwind Road Lahore.
****COMSATS Institute of Information Technology,ChakShehzad, Islamabad

Corresponding Author: hzmahmood@hotmail.com
DOI: NA
Page Number(s): 1537-1546
Published Online First: October 01, 2014
Publication Date: October 01, 2014
ABSTRACT

The purpose of this study is to analyze the relationship between farm size and productivity and its various correlates like total and partial factor productivity, cropping intensity, gross margins, on and off farm incomes, credit availability with reference to different farm sizes in the irrigated perennial areas of district Gujrat and Mandi Bahauddin. To achieve theobjectives,213 respondents were randomly selected and interviewed.Cobb-Douglas production functionwas employed to observe the productivity trends using various exogenous farm inputs while monetary values of output had been used as endogenous variable in the model. The cropping intensity and study specific total and partial factor productivities were also calculated.Results confirmed the inverse relationship between farm size and productivity, however, this relationship was found weak. Furthermore, cropping intensity, yield and gross margins per hectare were found higher at small farms as compared to larger ones.

Keywords: Small Farms, Inverse Relationship, Farm Productivity, Total Factor Productivity, Partial Factor Productivity, Irrigation Productivity, Labour Productivity, Institutional and Non-institutional credit, Off Farm Income, On Farm Income, Cropping Intensity, Gujrat, Mandi Bahuddin, Pakistan
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Cite Score: 1.3

JCR Year: 2025

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Web of Science (SCIE)

SCOPUS (Q3)

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Journal Impact Factor: 0.5

HEC Category: W

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Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

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