Welfare impact of market participation: The case of rice farmers from wetland ecosystem in Bangladesh

Hoq, Mohammad Shamsul; Uddin, M. T.; Raha, Shankar Kumar; Hossain, Mohammad Ismail

doi:10.1016/j.envc.2021.100292

Cited by 14 publications

(9 citation statements)

References 45 publications

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“…Based on past literature, the annual consumption expenditure adjusted by the number of adult equivalents (hereafter referred to as per capita expenditure) and household income per month (hereafter referred to as income) were used as a proxy for the household wellbeing indicator (Abdullah et al, 2019;Hoq et al, 2021;Lubungu, 2013;Maertens & Swinnen, 2009;Maertens et al, 2011;Mmbando et al, 2015aMmbando et al, , 2015b. The data for consumption expenditure was collected for the last 12 months of the preceding year.…”

Section: Outcome Variablesmentioning

confidence: 99%

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Role of market participation on smallholder vegetable farmers' wellbeing: Evidence from matching approach in Eastern India

Dey

Singh

2023

Agribusiness

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The study identifies determinants of vegetable farmers' market participation and evaluates their impact on households' welfare. In this study, we collected 175 cross‐sectional household data and employed a probit regression model to identify the determinants of vegetable farmers' market participation. The study estimates the impact of market participation on households' income and per capita consumption using the propensity score matching approach (PSM). Subsequently, the study used the endogenous switch regression (ESR) model to control sample selection bias and unobserved heterogeneity. ESR also evaluates the robustness of PSM outcomes. Results from PSM and ESR approaches suggest that vegetable market participation positively and significantly impacts smallholders' income and consumption expenditure. The study rejects the null hypothesis that vegetable market participation does not significantly impact farmers' welfare. Results show that vegetable market participation increases the farmers' monthly income and annual per capita consumption expenditure on average by Indian rupee (INR) 8360 and INR 26,410, respectively. Findings also indicate that household size, distance to market, off‐farm income, access to training, price information, vehicle ownership, and storage systems are critical determinants of vegetable farmers' market participation. Identified determinants may support policymakers in designing suitable agricultural marketing policies to reduce market entry barriers and motivate farmers for market participation. [EconLit Citations: Q13, D60].

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Section: Outcome Variablesmentioning

confidence: 99%

“…In Mali, Smale et al (2012) estimated that input market participation improved food security. Hoq et al (2021) showed that market participation positively impacted the household welfare of Bangladesh rice farmers.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of market participation on smallholder vegetable farmers' wellbeing: Evidence from matching approach in Eastern India

Dey

Singh

2023

Agribusiness

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“…The socio-economic status of wheat growers and other crop farmers in rural, and agricultural areas of Bangladesh is a complex and multifaceted issue. There are a variety of factors that influence the economic well-being and efficiency of these farmers, including access to resources [16], land ownership [17], education [18], government policies [19,20], market access [21], and so on.…”

Section: Credit Status Of the Wheat Farmersmentioning

confidence: 99%

Socio-Economic Status of Wheat Growers in Some Selected Areas of Bangladesh

Tasnim

2023

AJAEES

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Aims: The study was carried out to determine the socio-economic status of wheat farmers in Bangladesh. Study Design: Simple random sampling technique was used for the study. Place and Duration of the Study: Birganj Upazila under Dinajpur and Thakurgaon Sadar, and Pirganj Upazila under Thakurgaon district were purposively selected for the study. The survey was conducted from February to March 2019. Methodology: A total of 150 wheat growers were selected as sample farmers. Data were collected from the respondents through direct interviews using pre-tested interview schedules. Descriptive statistics such as mean, frequency, and percentage were employed to analyze the data. Results: The study estimated that the average farm size was 1.38 ha, and most of them were medium farmers (40 percent). Most of the wheat growers were middle-aged (51–60 years old), while a small portion of them were younger (18–30 years). Findings revealed that about 35.3 percent of farmers were literate, while 34.7 percent completed secondary education. The average family size was 4.96 persons. However, the large farm household had relatively more family members than other farm households. Most of the respondents had more than 30 years of farming experience. Nevertheless, agriculture, notably wheat farming, was their primary occupation (92 percent), and about 70.67 percent of their average yearly income came from agriculture. Furthermore, the study found that only a small percentage of farmers obtained training from the government's agricultural extension office, while most farmers did not receive any training opportunities. In this study, about 53.33% of respondents received loans from banks or NGOs, whereas around 46.67% received no credit. Conclusion: Therefore, the government should provide more institutional and infrastructure support to promote wheat production, which will increase efficiency, income and enhance the livelihood conditions of wheat farmers in the study areas.

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“…Similarly, home to market distance has a positive association with the crop plus sh farming, crop plus off-farm activities, and a negative association with the crop plus livestock farming. Home to haor distance shows positive and signi cant evidence with the adoption of the crop plus off-farm activities indicating a 1% increase of the home to haor distance would lead to an increase of a 5.5% in the probability of choosing crop plus off-farm activities as a livelihood diversi cation strategy (Hoq et al 2021b). Roadway communication during monsoon signi cantly and negatively in uences the haor household in adopting livelihood diversi cation compared to its base category river way communication.…”

Section: Determinants Of Livelihood Diversi Cation Strategy Via Marginalmentioning

confidence: 99%

“…It indicates that one unit increase in the riverway communication increases the probability of choosing crop plus poultry farming by 15.2% and `increases the probability of choosing crop plus livestock farming by 7.9% as a livelihood strategy. Unexpectedly duration of waterlogged signi cantly and positively in uences the crop plus livestock livelihood strategy which indicates one unit (month) increase in the duration of waterlogged is likely to increase the probability of crop plus livestock farming by 3.4% (Hoq et al 2021b). Hence, it may be due to rearing livestock in household home yard which is physically observed during the data collection.…”

Section: Determinants Of Livelihood Diversi Cation Strategy Via Marginalmentioning

confidence: 99%

Determinants of households’ livelihood diversification strategies to adapt with natural disasters: Evidence from ecologically vulnerable haor region of Bangladesh

Hoq

Uddin

Raha

et al. 2021

Preprint

Self Cite

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The haor region of Bangladesh is exposed to a variety of natural disasters such as flash floods, seasonal floods, droughts, riverbank erosions, embankment breaches due to climate change, which impacts the haor people's lives and livelihoods. The study aims to assess the various livelihood strategies adopted by the haor households, as well as the factors that influence their decision to pursue more environmentally friendly and sustainable livelihood strategies. The primary data from the 300 haor households in Kishoregonj, Netrokona and Sunamgonj districts were collected with a multi-stage stratified random sample technique taking 100 of each district. We provide inimitable insight into the analysis framework for understanding sustainable rural livelihood, as well as empirical evidence of how livelihood resources, livelihood strategies, and livelihood outcomes are strongly interrelated. The study classified households’ economic activities into five distinct categories together with crop farming to cope with natural disasters. Among the livelihood options, crop plus livestock rearing is the most productive livelihood strategy for haor households. The findings revealed that the higher returning livelihood diversification strategies are significantly influenced by the household’s head age and education, dependency ratio, land holdings, household assets value, access to credit, annual income, membership of any organization, home to road, market, and haor distances, communication during the dry season, duration of waterlogged, and agro-ecology. In order to change the local context and enable poor households to establish more profitable livelihood strategies, policies should aim to promote the significant determinants of livelihood strategies, as well as ensure livelihood assets, a strong infrastructure, and minimize natural disasters.

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Welfare impact of market participation: The case of rice farmers from wetland ecosystem in Bangladesh

Cited by 14 publications

References 45 publications

Role of market participation on smallholder vegetable farmers' wellbeing: Evidence from matching approach in Eastern India

Role of market participation on smallholder vegetable farmers' wellbeing: Evidence from matching approach in Eastern India

Socio-Economic Status of Wheat Growers in Some Selected Areas of Bangladesh

Determinants of households’ livelihood diversification strategies to adapt with natural disasters: Evidence from ecologically vulnerable haor region of Bangladesh

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