Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China

Feng, Litao; Li, Zhuo; Zhao, Zhanyong

doi:10.3390/ijerph182212055

Cited by 3 publications

(2 citation statements)

References 50 publications

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“…Their active practice of the green production mode is the primary driving force for advancing the development of ecological agriculture and achieving agricultural sustainability. Nonetheless, under the impact of natural hazards, peasant households may engage in irrational decision making due to the loss of agricultural output as well as household income [40][41][42], which will impact the growth of sustainable agricultural production. On the basis of the above analysis, the following assumptions are proposed: Hypothesis 3 (H3).…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province

Yang

Xie

et al. 2023

Sustainability

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The agricultural production decision making of peasant households can have a direct impact on agricultural development trends and national food security, and the impact of natural hazards on the agricultural production decision making of peasant households merits significant consideration. On the basis of the micro survey data of Hunan Province in 2022, this paper empirically discusses the impact of natural hazards on peasant households’ agricultural production decision making by using a Probit model. The study found that: (1) natural hazards did not significantly affect peasant households’ willingness to engage in agricultural production; (2) peasant households will reduce the impact of natural hazards on agricultural production by planting “drought-resistant crop” or “flood-tolerant crop”; and (3) natural hazards will also reduce the probability of peasant households adopting green production decision making. Subsequently, the Logit model is used to test the robustness and the PSM model is used to correct the possible selectivity bias. The above results are supported. The results of a heterogeneity analysis indicate the following: (1) natural hazards can substantially affect the disaster adaptation decision making of young and middle-aged householders, and yet fail to significantly affect the disaster adaptation decision making of elderly householders; (2) natural hazards can severely influence the disaster adaptation as well as green production decision making of peasant households that have not received agricultural technology training but those who have received such training are not significantly impacted; and (3) natural hazards significantly affect the production decision making of peasant households who have not purchased agricultural insurance, and yet fail to significantly affect the production decision making of peasant households who have purchased agricultural insurance. Our findings can provide the government with an empirical basis for formulating pertinent policies.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province

Yang

Xie

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Due to the lack of productive assets and social capital, the ability of poorer groups to withstand the impact of extreme climate events is generally weak [53,54]. Thus, agricultural producers often suffer significant production losses [55]. Increasing extreme weather events have aggravated rural poverty.…”

Section: Mechanism and Research Hypotheses 221 Disaster Reduction Eff...mentioning

confidence: 99%

The Impact of High-Standard Farmland Construction Policy on Rural Poverty in China

Peng

Zhao

Chen

2022

Land

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As the core component of agricultural development projects, high-standard farmland construction is a reliable measure of agricultural production, and can be used to improve the economy in rural areas. Based on provincial panel data, this paper adopts the continuous difference-in-differences (DID) method to analyze the impact of China’s high-standard basic farmland construction policy on the incidence of rural poverty and its mechanisms. The results show that this policy can significantly reduce the incidence of rural poverty by 7.4%, and if, after using robust standard error and bootstrap sampling 1000 times for a robustness test, the regression results are still robust, this also shows that this inhibitory effect is stable and persistent. It can be seen from a heterogeneity analysis that the implementation of the policy has a more significant effect on poverty reduction in areas with a higher incidence of rural poverty and a larger scale of land remediation, as well as areas in the eastern and western regions. A mechanism analysis shows that natural disasters, output value and technological progress play a partial intermediary role in the poverty reduction effects of high-standard basic farmland construction policy, and the intermediary effects are 5.79%, 44.03%, and 14.13%, respectively. This paper suggests that we should continue to promote the construction of high-standard basic farmland, explore suitable construction modes of high-standard basic farmland for different regions, continuously promote the process of agricultural modernization, and broaden the ways through which rural residents are able to accumulate capital to promote rural poverty reduction and revitalization.

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RETRACTED: Efficiency Measurement and Spatial Spillover Effect of Green Agricultural Development in China

Jin

et al. 2022

Front. Environ. Sci.

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Green agriculture is mainstream for the sustainable development of agriculture. Based on the Chinese provincial agriculture panel data from 2010 to 2019, we adopted the slack-based measure (SBM) super-efficiency model, sales force automation (SFA) model, and global malmquist–luenberger (GML) production index to measure the efficiency of agricultural green development (AGD). Moreover, Moran’s I and spatial econometric model were applied to analyze factors influencing AGD. The threshold model was used to analyze the relationship between the scale of AGD and gross domestic product (GDP). The results show that 1) Chinese green agricultural development efficiency is on a rising trend, reducing the impact of environmental factors and random interference on the AGD. 2) The analysis of AGD in the spatial effect showed a direct positive effect from agricultural mechanization, science and technology innovation, industrial agglomeration, income level, and environmental rule and a direct negative effect from agricultural yield structure, farmland pollution, and agricultural disasters. Furthermore, industrial structure optimization and environmental rule evoke a demonstration effect, but technical innovation, income level, and agricultural industrial agglomeration triggered a siphonic effect. 3) The threshold model was used to analyze the scale of AGD to realize sustainable development between agriculture and economy.

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Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China

Cited by 3 publications

References 50 publications

Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province

Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province

The Impact of High-Standard Farmland Construction Policy on Rural Poverty in China

RETRACTED: Efficiency Measurement and Spatial Spillover Effect of Green Agricultural Development in China

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