Your search found 4 records
1 Giordano, Mark; Zhu, Zhongping; Cai, X.; Hong, S.; Zhang, X.; Xue, Y.. 2004. Water management in the Yellow River Basin: background, current critical issues and future research needs. Colombo, Sri Lanka: International Water Management Institute (IWMI), Comprehensive Assessment Secretariat. v, 39p. (Comprehensive Assessment of Water Management in Agriculture Research Report 003) [doi: https://doi.org/10.3910/2009.390]
River basin development ; Water management ; Water use ; History ; Water stress ; Water scarcity ; Flood water ; Soil conservation ; Policy ; Water quality ; Environmental effects ; Water conservation ; Irrigation water ; Pollution control / China / Yellow River Basin
(Location: IWMI-HQ Call no: IWMI 333.91 G592 GIO Record No: H035287)
(1.28 MB)
2 Giordano, Mark; Zhu, Zhongping; Cai, X.; Hong, S,; Zhang, X.; Xue, Y.. 2005. Management reforms needed in the Yellow River Basin. id21 Natural Resources Highlights - Water, pp.3.
(Location: IWMI-HQ Call no: P 7492 Record No: H038281)
3 Ringler, C.; Cai, X.; Wang, J.; Ahmed, A.; Xue, Y.; Xu, Z.; Yang, E.; Jianshi, Z.; Zhu, T.; Cheng, L.; Yongfeng, F.; Xinfeng, F.; Xiaowei, G.; You, L. 2012. Yellow River Basin: living with scarcity. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.192-217.
River basins ; Water resources ; Water scarcity ; Water security ; Water productivity ; Legislation ; Water rights ; Poverty ; Economic development ; Irrigation water ; Investment ; Food security ; Agricultural development ; Rainfed farming ; Irrigated farming / China / Yellow River Basin
(Location: IWMI HQ Call no: IWMI Record No: H044845)
4 Zhang, Y.; Geng, L.; Liang, X.; Wang, W.; Xue, Y.. 2024. Which is more critical in predicting farmers' adaptation and mitigation towards climate change: rational decision or moral norm factors. Journal of Cleaner Production, 434:139762. [doi: https://doi.org/10.1016/j.jclepro.2023.139762]
Climate change adaptation ; Climate change mitigation ; Farmers ; Agricultural production ; Models / China / Jiangsu / Shaanxi
(Location: IWMI HQ Call no: e-copy only Record No: H052605)
https://www.sciencedirect.com/science/article/pii/S0959652623039203/pdfft?md5=f9d2a3f0917da8639eab00d3a757e1db&pid=1-s2.0-S0959652623039203-main.pdf
https://vlibrary.iwmi.org/pdf/H052605.pdf
https://vlibrary.iwmi.org/pdf/H052605.pdf
(0.60 MB) (616 KB)
Rational decision or moral norm factors are often used to explain pro-environmental behavior. However, the types of factors that influence farmers' high-cost production behavior (climate change adaptation and mitigation) have not been explored.
In response, this study constructed competitive models from multi-theoretical perspective, including the Theory of Planned Behavior (TPB) and the Value-Identity-Personal norm (VIP) model, which demonstrated rational decision-making factors and moral norm factors, respectively. We collected data from 912 farmers in the Jiangsu and Shaanxi provinces in China by means of a questionnaire survey and empirically tested the explanatory power of the models via partial least squares-structural equation modeling (PLS-SEM). The findings suggested that rational decision factors, including perceived behavioral control and attitudes, are better predictors of farmers' climate change coping behavior than moral norm factors, such as subjective norms. There remained a disconnect between the willingness to mitigate formed via perceived behavioral control and the actual behavior, and farmers who actually adopted mitigative climate-change behaviors still faced difficulties or had no control over the outcome. In addition, the effect of altruistic values on mitigating behavior (which predicts future benefits) was more pronounced. These findings pointed to rationality as the primary driver or motivation of pro-environmental behaviors in agricultural production, whereas the explanatory power of morality remained weak.
In response, this study constructed competitive models from multi-theoretical perspective, including the Theory of Planned Behavior (TPB) and the Value-Identity-Personal norm (VIP) model, which demonstrated rational decision-making factors and moral norm factors, respectively. We collected data from 912 farmers in the Jiangsu and Shaanxi provinces in China by means of a questionnaire survey and empirically tested the explanatory power of the models via partial least squares-structural equation modeling (PLS-SEM). The findings suggested that rational decision factors, including perceived behavioral control and attitudes, are better predictors of farmers' climate change coping behavior than moral norm factors, such as subjective norms. There remained a disconnect between the willingness to mitigate formed via perceived behavioral control and the actual behavior, and farmers who actually adopted mitigative climate-change behaviors still faced difficulties or had no control over the outcome. In addition, the effect of altruistic values on mitigating behavior (which predicts future benefits) was more pronounced. These findings pointed to rationality as the primary driver or motivation of pro-environmental behaviors in agricultural production, whereas the explanatory power of morality remained weak.
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