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Journals / Tekirdağ Ziraat Fakültesi Dergisi / 2026 / Cilt: 17 Sayı: 2

Ramifications of Households Non-farm Income on Agricultural Productivity: Evidence from Rural Area of Pakistan

Md.salamun Rashidin(University of International Business and Economics (UIBE))0000-0003-1273-8494
Sara Javed(University of International Business and Economics (UIBE))0000-0002-7234-7690
Dr. Bin Liu(University of International Business and Economics (UIBE))0000-0002-7234-7690
Pages
108–123
Publication Date
2020-05-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

O n the other hand, the second stage of OLS regression exhibited a significant negative association between non-farm income and per-capita farm income.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In Pakistan, agriculture sector currently contribu tes up to 28 percent to in GDP.
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Key Findings & Data:The current research accumulated data from Pakistan Social and Living Standards Measurement Survey (PSLM) 2014-15.
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Conclusion & Impact:O n the other hand, the second stage of OLS regression exhibited a significant negative association between non-farm income and per-capita farm income.
🔬Design:Survey & Empirical Study
📍Scope:2014 Verileri
⚙️Variables:Agricultural Productivity · Non-farm income · Endogeneity

Özet

In Pakistan, agriculture sector currently contribu tes up to 28 percent to in GDP. Due to the development of modern science and technology , rural household source of income is altering. Lots of research suggested that non-farm income is the main source of income for rural area. This study investigates the effects of non-farm income on agriculture productivity in Pakistan. The current research accumulated data from Pakistan Social and Living Standards Measurement Survey (PSLM) 2014-15. Pakistan Federal Bauru of Statistics has developed its own sampling frame for rural and urban areas. Researcher used the Heckman’s two - step procedure to tackle the problem of endogeneity and selection bias. The first phase of probit regression coefficient indicates that the availability of bank s , motorable roads, forest, telecommunication substructure, m ontane grasslands and shrublands zone are substantial to clarify the non-farm income. O n the other hand, the second stage of OLS regression exhibited a significant negative association between non-farm income and per-capita farm income.

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Cite This Article

Rashidin, M., Javed, S., Liu, D. B. (2020). Ramifications of Households Non-farm Income on Agricultural Productivity: Evidence from Rural Area of Pakistan. Tekirdağ Ziraat Fakültesi Dergisi, Cilt: 17 Sayı: 2, 108–123. https://doi.org/10.33462/jotaf.518975

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