Impact of Homestead Agroforestry on  Socio-economic Condition of the Respondents at Kamalganj Upazila of Moulvibazar District in Bangladesh

Singha, Sajal; Uddin, M. Nazim; Banik, Sujan Chandra; Goswami, Bhaskar; Kashem, Md. Abul

doi:10.9734/ajraf/2019/v3i130030

Cited by 3 publications

(2 citation statements)

References 4 publications

(4 reference statements)

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“…When rural families initiate female members to relocate to urban areas, the "tight balance" between the family agricultural labor force, resident population, and land allocation might have been broken [5]. The continuity of family land management has been seriously weakened, which led to breaking the "last straw" that ultimately prompted farmers to withdraw from contracted land and homesteads [89]. As a result, the positive effects of complete labor transfer and incomplete labor transfer of female households on farmers' contracted land and homestead exit willingness are stronger than complete labor transfer and incomplete labor transfer.…”

Section: The Impact Of Labor Force Transfer On the Willingness To Wit...mentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

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Because of the increased expansion of the non-agricultural industry spurred on by vigorous urbanization, labor migration or transfer from farm to urban regions is to become more predominant in China. Studying the effect of labor transfer on farmers’ willingness to withdraw from land is conducive to deepening the understanding of the reality of the “separation of human and farmland”. As most rural livelihoods, directly and indirectly, depend upon farming, the socio-economic impact of leaving the homestead fosters profound research value. Moreover, it would provide a decision-making reference for the government to improve the design of the rural land withdrawal system and related support policies. This article uses the survey data of 953 farmers in Shaanxi, Sichuan, and Anhui, China, to empirically analyze labor transfer’s effect on farmers’ willingness to withdraw from farmland. We construct a bivariate Probit model by eliminating the endogenous issue to craft its findings. This study outlines its findings: (i) 61.805% of the farmers were unwilling, and 18.048% were willing to withdraw from the contracted land and homestead. While 12.067% of the farmers were only willing to withdraw from the contracted land, 8.080% of the farmers were only willing to withdraw from the homestead. Further testing found a positive correlation between farmers’ willingness to withdraw from contracted land and the homestead. (ii) The overall labor transfer of households can increase the willingness of farmers to quit contracted land and homestead farming. The incomplete labor transfer of households can improve the willingness of farmers to quit contracted land. Still, it has no significant impact on the willingness of farmers to quit their homesteads. The family’s complete labor transfer incentivizes farmers’ willingness to withdraw from contracted land and the homestead, which is more potent than incomplete family labor transfer. (iii) Incomplete labor transfer of female households has an incentive effect on farmers’ willingness to quit contracted land, and the effect is more robust than that of incomplete household labor transfer. Seemingly, complete female labor transfer of households has an incentive effect on farmers’ willingness to quit contracted land and the homestead, and the effect is stronger than the complete labor transfer of the family. Because of this, the government should respect the wishes of farmers and strengthen the effective connection and mutual promotion between the homestead and contracted land withdrawal policy. Moreover, pay concentrated attention to the vital role of different types of labor transfer, and targeted labor transfer mechanisms should be used to guide farmers in an orderly manner.

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Section: The Impact Of Labor Force Transfer On the Willingness To Wit...mentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

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show abstract

“…The farmers had a mean of 5.10 and a standard deviation of 3.765 for educational background, which ranged from 0 to 12. Singha et al (2019) in the Kamalganj upazila of the Moulvibazar district obtained nearly identical findings. The family sizes of the respondents ranged from 1 to 10, with a standard deviation of 2.431 and a mean of 5.08.…”

Section: Respondents' Characteristics In the Area Of Studymentioning

confidence: 61%

Homestead Agroforestry and Tree Species Diversity in Cumilla District of Bangladesh

Kamran,

Sharif,

Deb

et al. 2023

J. Agrofor. Environ.

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In Bangladesh, the typical land use structure is homestead agroforestry. It provides people with basic necessities like food, shelter, money, and other things. This study was regulated in the Nangalkot Upazila of the Cumilla district at Bangladesh to identify plant species grown in homestead areas and to explore the relationships between tree diversification and selected characteristics of farmers of the Nangalkot upazila. A total of 50 households from the small, marginal, medium, and large groups were polled. An interview schedule was created using a simple technique and questionnaire to collect data on the selected parameters. The respondents were chosen at random, and data were collected between January 1 and 21, 2021. For statistical analysis, the orthodox descriptive statistical parameters and Product Moment Correlation Coefficient of Pearson (r) were used. A total of twenty seven (27) plant species were identified in the study area's homestead, with 16 being fruit plants and 11 being forest plant species. The most abundant fruit species were mango, coconut, guava, papaya, jackfruit, etc., and the forest plant species were mahogany, bamboo, eucalyptus, neem, akashmoni, etc. On average, 14.38 plant species had been identified in respondents' homestead area. Sixteen agroforestry systems with four layers were identified from the study area. Selected farmers' characteristics, such as family size, farm size, homestead size, knowledge about homestead agroforestry, and socio-economic condition, showed a significant positive relationship with the total number of plant species, which can help in nutritional security of the people in the area of study. The current homestead agroforestry techniques in the Nangalkot Upazila of Cumilla district can be improved using advanced agroforestry approaches, and diversity of medicinal and multipurpose plants should be enhanced in order to maximize farmers' revenue.

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Moringa-based Homestead to Achieve Sustainable Development Goals: A Case Study from Jaintiapur of Sylhet, Bangladesh

Talucder,

Ruba,

Prova

et al. 2024

Heliyon

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Impact of Homestead Agroforestry on Socio-economic Condition of the Respondents at Kamalganj Upazila of Moulvibazar District in Bangladesh

Cited by 3 publications

References 4 publications

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Homestead Agroforestry and Tree Species Diversity in Cumilla District of Bangladesh

Moringa-based Homestead to Achieve Sustainable Development Goals: A Case Study from Jaintiapur of Sylhet, Bangladesh

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