Impact Assessment of Development Project: A Case Study of Small and Marginal Farmers Poverty Alleviation through the Post-Harvest Support Program of Grains Trading Projects in Bangladesh


Authors : Sujan Chandra Bhowmiik; Md. Monarul Islam; Mohammad Nazmul Haque Bhuiyan; Md. Selim Reza; Mohshi-U-Nahidy Islam

Volume/Issue : Volume 9 - 2024, Issue 9 - September


Google Scholar : https://tinyurl.com/mr25r6wz

Scribd : https://tinyurl.com/yc2c8nzy

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP1328

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The primary goal of this research is to assess the impact of the Grains Trading Projects' Post-Harvest Support Program on farmers' income. The research took place in districts of Mymensingh, Natore, Bogura & Dinajpur. Through the use of stratified random sampling, a total of 374 recipients were selected to constitute the study's sample. The research analyzed eleven distinct characteristics of the recipients as independent factors, unaffected by other variables, with the respondents income change during project activities being the dependent variable. Data was gathered from the participants through a meeting conducted in person. More than half (54.28%) of beneficiaries belonged to medium and high income change compared to 45.19% belong to low change income categories respectively. The research results indicated that out of the 11 variables examined, a total of 6 independent variables including land size, savings deposit, loan received, loan utilization, training received, and project participation, were found to have significant correlations (at the 0.5% and 1% level) with the dependent variable. The study revealed that six out of the 11 variables including land size, savings deposit, loan received, loan utilization, training received, and project participation showed significant correlation (0.5% and 1%) with the dependent variable. The correlation coefficient (r) is 0.370 and the coefficient of determination (R2) is 0.173 indicating that the combination of independent variables contributes to 17.30% of the total income change among respondents.

Keywords : Post-Harvest Farmer, Chang Income; Development; Project; Beneficiaries, Proverty Alleviation.

References :

  1. World Bank. (2023). GNI per capita, Atlas method (current US$) - Bangladesh. Available online: https://data.worldbank.org/indicator/NY.GNP.PCAP.CD?locations=BD [Accessed on 29 July 2024].
  2. United Nations. (2023). World Population Prospects 2023 -Bangladesh. Available online: https://population.un. org/wpp/ [accessed on 11 August 2024].
  3. World Bank. (2019). Reducing Post-Harvest Losses and Enhancing Market Access in Rural Bangladesh. Available, online: https://www.worldbank.org/en/ country/bangladesh. [Accessed on 11 August 2024].
  4. Bangladesh Bureau of Statistics. (2019): BBS reports that agriculture remains the largest source of employment in rural Bangladesh, employing about 40% of the labor force. Source: BBS. (2019). Bangladesh Economic Review 2019. Available at: http://bbs.gov.bd [Accessed on 12 August 2024].
  5. Bangladesh Bureau of Statistics. (2019). Agricultural Census 2019. Available online: http://bbs.gov.bd [Accessed on 11 August 2024].
  6. IFAD. (2019). Post-Harvest Management Challenges in Rural Bangladesh. Available online: https://www.ifad.org/en/web/operations/country/id/bangladesh [Accessed on 16 August 2024].
  7. FAO. (2017). Reducing Post-Harvest Losses: Challenges and Opportunities in Bangladesh's Agricultural Sector. Available online: http://www.fao.org. [Accessed on 11 August 2024].
  8. World Bank. (2019). Improving Market Access for Smallholder Farmers in Bangladesh. Available online: https://www.worldbank.org. [Accessed on 10 August 2024].
  9. IFAD. (2018). Access to Finance and Agricultural Development in Bangladesh. Available online: https://www.ifad.org/en/web/operations/country/id/bangladesh. [Accessed on 11 August 2024].
  10. Bangladesh Agricultural Development Corporation (BADC). (2020). Annual Report on Agricultural Value Chain and Market Access. Available online: http://www.badc.gov.bd. [Accessed on 11 August 2024].
  11. MaCorr Sample Size Calculator. https://www.macorr. com/sample-size-calculator.htm [Accessed on 11 August 2024].

The primary goal of this research is to assess the impact of the Grains Trading Projects' Post-Harvest Support Program on farmers' income. The research took place in districts of Mymensingh, Natore, Bogura & Dinajpur. Through the use of stratified random sampling, a total of 374 recipients were selected to constitute the study's sample. The research analyzed eleven distinct characteristics of the recipients as independent factors, unaffected by other variables, with the respondents income change during project activities being the dependent variable. Data was gathered from the participants through a meeting conducted in person. More than half (54.28%) of beneficiaries belonged to medium and high income change compared to 45.19% belong to low change income categories respectively. The research results indicated that out of the 11 variables examined, a total of 6 independent variables including land size, savings deposit, loan received, loan utilization, training received, and project participation, were found to have significant correlations (at the 0.5% and 1% level) with the dependent variable. The study revealed that six out of the 11 variables including land size, savings deposit, loan received, loan utilization, training received, and project participation showed significant correlation (0.5% and 1%) with the dependent variable. The correlation coefficient (r) is 0.370 and the coefficient of determination (R2) is 0.173 indicating that the combination of independent variables contributes to 17.30% of the total income change among respondents.

Keywords : Post-Harvest Farmer, Chang Income; Development; Project; Beneficiaries, Proverty Alleviation.

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