Smallholder farmers’ willingness to pay for flood insurance as climate change adaptation strategy in northern Bangladesh

Hossain, MZ; Alam, G. M. Monirul; Fahad, Shah; Sarker, Tanwne; Moniruzzaman, Md; Rabbany, Md Gulam

doi:10.1016/j.jclepro.2022.130584

Cited by 53 publications

(17 citation statements)

References 81 publications

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“…Previous studies (Su et al, 2021;Fahad et al, 2022a), show that the impact of extreme weather, such as floods and droughts caused by climate change, on agricultural production in developing countries and low-income countries is much higher than in developed and high-income countries. The risk of food shortage and security still exists and with every 1°C increase in temperature, global grain production will decrease by about 10% (Yi et al, 2018;Fahad et al, 2022b;Hossain et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Bai

Yang

et al. 2022

IJCCSM

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Purpose Global climate change characterized by an increase in temperature has become the focus of attention all over the world. China is a sensitive and significant area of global climate change. This paper specifically aims to examine the association between agricultural productivity and the climate change by using China’s provincial agricultural input–output data from 2000 to 2019 and the climatic data of the ground meteorological stations. Design/methodology/approach The authors used the three-stage spatial Durbin model (SDM) model and entropy method for analysis of collected data; further, the authors also empirically tested the climate change marginal effect on agricultural productivity by using ordinary least square and SDM approaches. Findings The results revealed that climate change has a significant negative effect on agricultural productivity, which showed significance in robustness tests, including index replacement, quantile regression and tail reduction. The results of this study also indicated that by subdividing the climatic factors, annual precipitation had no significant impact on the growth of agricultural productivity; further, other climatic variables, including wind speed and temperature, had a substantial adverse effect on agricultural productivity. The heterogeneity test showed that climatic changes ominously hinder agricultural productivity growth only in the western region of China, and in the eastern and central regions, climate change had no effect. Practical implications The findings of this study highlight the importance of various social connections of farm households in designing policies to improve their responses to climate change and expand land productivity in different regions. The study also provides a hypothetical approach to prioritize developing regions that need proper attention to improve crop productivity. Originality/value The paper explores the impact of climate change on agricultural productivity by using the climatic data of China. Empirical evidence previously missing in the body of knowledge will support governments and researchers to establish a mechanism to improve climate change mitigation tools in China.

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Section: Introductionmentioning

confidence: 99%

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Bai

Yang

et al. 2022

IJCCSM

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“…They identified five water expenditure types-all of these are based on poor water quality sources (shallow tube wells, pond sand filters, and rainwater); however, about a small percentage of wealthy people use vended water for drinking and cooking, accounting for about 3-7% of total household expenditure. Hossain et al [24] found that risk-averse farmers are willing to take up flood insurance to minimize crop loss due to flooding. In developing such a flood insurance scheme in Bangladesh, the flood risk level and farmers perceptions should be considered.…”

Section: Water In Bangladeshmentioning

confidence: 99%

A Review and Analysis of Water Research, Development, and Management in Bangladesh

Rahman

Jahan

Yıldırım

et al. 2022

Water

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This paper presents a review of water research, development, and management in Bangladesh, with examples drawn from the past and present. A bibliometric analysis is adopted here to analyze the water-related publication data of Bangladesh. Water-quality-related research is the dominating research field in Bangladesh as compared to water-quantity (floods and droughts)-related ones. The most productive author was found to be Ahmed KM for water-related publication in Bangladesh. The arsenic contamination in Bangladesh has received the highest attention (13 out of the top 15 highly cited papers are related to arsenic contamination). Climate-change-related topics have been showing an increasing trend in research publications over the last 5 years. Bangladesh Delta Plan 2100, prepared recently, is a visionary master plan that is expected to shape water management in Bangladesh in the coming decades to adapt to climate change. A set of recommendations is made here to achieve sustainable water management in Bangladesh.

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“…For a long time, the concept of "large country and small farmers" has been the basic pattern of Chinese agricultural. China's national conditions determine that ordinary farmers will remain the basic subject of agricultural production for a long time in the future (Han 2018;Hossain et al, 2022;Wang et al, 2022). Taking into account their importance, farmers are the basic subject of low-carbon agricultural production.…”

Section: Introductionmentioning

confidence: 99%

The impact of digital technology use on farmers’ low-carbon production behavior under the background of carbon emission peak and carbon neutrality goals

Huang

Yang

Fahad

2022

Front. Environ. Sci.

Self Cite

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In the digital economy era, as a new production factor, digital technology can break through the information blocking constraints on farmers’ behavior, become an important driving force affecting farmers’ low-carbon production behavior, and provide new opportunities for agricultural green low-carbon transformation and the realization of carbon emission peak and carbon neutrality goals. Based on the field survey data of 571 farm households in Jiangsu Province, China, this paper employs the Ordered Probit model and the mediating effect test method, and takes risk cognition as the mediating variable to empirically analyze the impact of digital technology use on farmers’ low-carbon production behavior and its path. The study results show that environmental risk cognition, health risk cognition, agricultural product safety risk cognition, and pesticide residue risk cognition have a significant positive impact on farmers’ low-carbon production behavior. Study findings also reveal that, on one side, the use of digital technology has a direct effect on the farmers’ low-carbon production behavior, on the other side, it indirectly affects the farmers’ low-carbon production behavior by affecting their risk cognition, that is, risk cognition plays a partial mediation role in this relationship. Furthermore, the results indicate that among the control variables, joint cooperative membership, food security knowledge, agricultural income, technical guidance, and following instructions have a significant and positive impact on farmers’ low-carbon production behavior. Based on study findings, the variable “number of the labor force” has a negative and significant impact on farmers’ low-carbon production behavior. Based on study findings, to effectively realize carbon emission peak and carbon neutrality goals and promote sustainable and high-quality agriculture development, agricultural policy makers should pay attention to the role of digital technology to actively promote low-carbon production behavior.

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Smallholder farmers’ willingness to pay for flood insurance as climate change adaptation strategy in northern Bangladesh

Cited by 53 publications

References 81 publications

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

A Review and Analysis of Water Research, Development, and Management in Bangladesh

The impact of digital technology use on farmers’ low-carbon production behavior under the background of carbon emission peak and carbon neutrality goals

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