Analysis in the Influencing Factors of Climate-Responsive Behaviors of Maize Growers: Evidence from China

Guo, Hongpeng; Xia, Yujie; Pan, Chulin; Lei, Qingyong; Pan, Hong

doi:10.3390/ijerph19074274

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…Since the last century, the global climate has shown an obvious warming trend [7][8][9][10][11]. More and more scholars have begun to pay attention to the multi-faceted response and the change of water resources in the context of climate change.…”

Section: Introductionmentioning

confidence: 99%

Attribution and Sensitivity Analysis of Runoff Variation in the Yellow River Basin under Climate Change

et al. 2022

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The Yellow River Basin is a typical arid and semi-arid area, which is very sensitive to climate change. In recent years, it has become the area with the greatest shortage of water resources in China. In this study, a new two-way coupling model of land surface and hydrology has been explored to analyze the impacts of climate change and human activities on the runoff. It is of great theoretical and practical significance for making better management countermeasures and strategies to cope with climate change in the Yellow River Basin. The results showed that: (1) the annual average precipitation in the basin was 470.1 mm, which was higher in the lower reaches than in the middle and upper reaches. The annual average temperature is 5.8 °C. The entire basin showed a remarkable warming speed. The annual average pan evaporation is 1067.3 mm showing a downward trend throughout the basin; (2) from 1987 to 2009, the contribution rate of climate change to runoff change has not fluctuated by more than 5%. Since 2010, the precipitation caused by climate factors has increased runoff by 12~15%. The impact of land use change on runoff has been increasing annually. The influence of projects on runoff change was the leading factor of runoff reduction in the Yellow River Basin, with the contribution rate around 50%; and (3) for every 10% decrease in precipitation, the runoff decreases by 13~15.7%. When the temperature rises by 1.0 °C, the runoff decreases by 2.1~4.2%. The runoff in the upper reaches of the Yellow River was most sensitive to precipitation and temperature changes. This showed that the runoff in the plateau and mountainous areas were highly sensitive to climate change.

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Section: Introductionmentioning

confidence: 99%

Attribution and Sensitivity Analysis of Runoff Variation in the Yellow River Basin under Climate Change

et al. 2022

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“…Guo et al [16] analyzed the effects of agricultural productive services on farmers' climate-responsive behaviors in Jilin Province. It is common among maize farmers to change to appropriate varieties in accordance with the frost-free season.…”

Section: Financing Investment and Policy Formulation Based On Evidencementioning

confidence: 99%

Special Issue “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”

Ishiwatari

Sasaki

2023

IJERPH

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“…In the context of green agricultural development and a substantial outflow of rural labor to nonagricultural sectors, the role of agricultural productive services in shaping ECLU deserves profound examination. Although existing literature has explored the correlation between agricultural productive services and climate-smart agricultural production behavior [24], it primarily centers on enhancing green agricultural production through the improvement of technical efficiency [25] and optimization of resource allocation [17]. Notably, four critical gaps are discernible: (1) Existing research predominantly concentrates on agricultural green development but lacks an analysis of ECLU from the perspective of agricultural productive services; (2) The underlying impact mechanisms remain insufficiently elucidated; (3) Prevailing literature often assumes a simplistic linear model and neglects the possibility of nonlinear effects and threshold characteristics; (4) Most relevant studies rely on micro-level surveys of individual farmers or provinciallevel panel data.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Productive Services and Ecological Efficiency of Cultivated Land Use: Evidence from Hunan Province, China

Huang,

Tang,

Zhou

2024

Pol. J. Environ. Stud.

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Agricultural productive services are fundamental in transforming the paradigm of agricultural development and exert a significant impact on farmers' behavior in managing their arable land. This paper employs the slack-based measure of the super-efficiency model, known as the Super-SBM model, incorporating unexpected output to gauge the eco-efficiency of cultivated land use (ECLU). Utilizing panel data from Hunan Province spanning the years 2007 to 2020, this study unveils the following key findings: (1) Across various quantile levels, agricultural productive services exhibit a substantial capacity to enhance ECLU, with coefficients ranging from 0.070 to 0.156. (2) The impact of agricultural productive services on ECLU is constrained by both farmers' income levels and the scale of cultivated land, revealing a dual threshold effect. As income levels rise, the corresponding coefficient increases progressively, from 0.0771 to 0.1147, and ultimately to 0.1571. Similarly, with the expansion of cultivated land, the coefficient increases from 0.1152 to 0.1443, and ultimately peaks at 0.1694. (3) The enhancement of ECLU through agricultural productive services is achieved by reducing the input of environmental factors and mitigating undesirable outputs. (4) Agricultural productive services indirectly facilitate labor transfer, accounting for 10.8% of the overall effect. Consequently, it is imperative to continually enhance the agricultural socialized service system, bolster financial support, and implement policies that foster the development of agricultural productive services to realize sustainable cultivated land utilization.

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Analysis in the Influencing Factors of Climate-Responsive Behaviors of Maize Growers: Evidence from China

Cited by 7 publications

References 45 publications

Attribution and Sensitivity Analysis of Runoff Variation in the Yellow River Basin under Climate Change

Attribution and Sensitivity Analysis of Runoff Variation in the Yellow River Basin under Climate Change

Special Issue “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”

Agricultural Productive Services and Ecological Efficiency of Cultivated Land Use: Evidence from Hunan Province, China

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