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Nexus between rural nonfarm income and agricultural production in Bangladesh

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  • Ripon Kumar Mondal
  • Eliyathamby A Selvanathan
  • Saroja Selvanathan

Abstract

Evidence from the rural livelihood literature shows that farm households in developing countries engage in nonfarm employment to supplement their household income. This raises the question of whether nonfarm income complements or competes with agricultural production due to a possible shift in farm household labour to nonfarm employment. Using survey data, this study examines the impact of rural nonfarm income on farm households’ agricultural production in Bangladesh. Applying the instrumental variable Tobit model, we find a nonlinear relationship between nonfarm income and total production expenditure as well as expenditures on major purchased inputs (equipment, seed, fertilizer, purchased labour). This indicates that when nonfarm income rises, production expenditure increases but at a decreasing rate. Furthermore, the endogenous stochastic frontier production model indicates that technical inefficiency in agricultural production decreases at an increasing rate when nonfarm income rises. Overall, the findings of this study suggest that nonfarm income exerts an income effect on agricultural production by reducing the liquidity constraint and intensifying major purchased inputs. Thus, introducing policies that would increase rural nonfarm income opportunities to rural households complements agricultural production. This would also lead to raised food production, ultimately leading to an increase in food availability as well as food security.

Suggested Citation

  • Ripon Kumar Mondal & Eliyathamby A Selvanathan & Saroja Selvanathan, 2021. "Nexus between rural nonfarm income and agricultural production in Bangladesh," Applied Economics, Taylor & Francis Journals, vol. 53(10), pages 1184-1199, February.
  • Handle: RePEc:taf:applec:v:53:y:2021:i:10:p:1184-1199
    DOI: 10.1080/00036846.2020.1827138
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    Cited by:

    1. Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun & Rahut, Dil Bahadur, 2022. "Nonfarm employment and consumption diversification in rural China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 582-598.
    2. Md. Karimul Islam & Nishad Nasrin & Jannatul Naim & Mahfuza Zaman Ela & Mohammad Mizanur Rahman & Abu Syed Md. Monjur Alam & Md Nazrul Islam & Md. Tanvir Hossain, 2023. "Unraveling the effects of a rehabilitation program on the socioeconomic wellbeing of beggars and begging motivation: evidence from an urban area of Bangladesh," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Jintao Zhan & Yubei Ma & Wuyang Hu & Chao Chen & Qinan Lu, 2022. "Enhancing rural income through public agricultural R&D: Spatial spillover and infrastructure thresholds," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 1083-1107, May.
    4. Laura Barasa & Bethuel K. Kinuthia & Abdelkrim Araar & Stephene Maende & Faith Mariera, 2023. "Nonfarm entrepreneurship, crop output, and household welfare in Tanzania: An exploration of transmission channels," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 762-792, July.
    5. Martey, Edward, 2022. "Empirical analysis of crop diversification and energy poverty in Ghana," Energy Policy, Elsevier, vol. 165(C).
    6. Gang Li & Xufeng Cui & Lan Pan & Yufei Wang, 2023. "Land Transfer and Rural Household Consumption Diversity: Promoting or Inhibiting?," Land, MDPI, vol. 12(1), pages 1-16, January.
    7. Sangwan, Nikita & Kumar, Shalander, 2021. "Labor force participation of rural women and the household’s nutrition: Panel data evidence from SAT India," Food Policy, Elsevier, vol. 102(C).
    8. Jehovaness Aikaeli & Martin Julius Chegere & John Rand, 2023. "Complementarity and substitutability between farm and nonfarm activities: Evidence from agricultural households in Tanzania," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 89-111, February.
    9. Ming Li & Yukuan Wang & Congshan Tian & Liang Emlyn Yang & Md. Sarwar Hossain, 2022. "Defining Household Typologies Based on Cropland Use Behaviors for Rural Human-Environment Systems Simulation Research: A Case Study in Southwest China," IJERPH, MDPI, vol. 19(10), pages 1-15, May.

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