Incentives in water management reform: assessing the effect on water use, production, and poverty in the Yellow River Basin

2005 ◽  
Vol 10 (6) ◽  
pp. 769-799 ◽  
Author(s):  
JINXIA WANG ◽  
ZHIGANG XU ◽  
JIKUN HUANG ◽  
SCOTT ROZELLE

The overall goal of our paper is to better understand water management reform in China's rural communities, especially focusing on the effect that improving incentives to water managers will have on the nation's water resources and the welfare of the rural population. To pursue this goal, the paper has three objectives. First, we track the evolution of water management reform and seek to identify the incentive mechanisms that encourage water managers to more efficiently use water. Second, we identify the impact on crop water use of the incentives provided to water managers during reform. Since we are also interested in the possible negative consequences of an incentive-led water management reform strategy, the paper also explores how changes in incentives also affect agricultural production, farmer income, and poverty. Based on a random sample of 51 villages, 189 farmers, and 378 plots in four large irrigation districts in Ningxia and Henan provinces, both provinces in China's Yellow River Basin, our results show that in our sample areas the two main forms of water management reform, Water User Associations and contracting, have begun to systematically replace traditional forms of collective management. Our analysis demonstrates, however, that it is not the nominal implementation of the reform that matters, but rather it is the creation of new management institutions that offer water managers monetary incentives that lead to water savings. Importantly, given China's concerns about national food production and poverty alleviation, the reductions in water, at least in our sample sites, do not lead to reductions in either production or income, and do not increase the incidence of poverty.

2019 ◽  
Vol 577 ◽  
pp. 123942 ◽  
Author(s):  
Zhenxin Bao ◽  
Jianyun Zhang ◽  
Guoqing Wang ◽  
Qiuwen Chen ◽  
Tiesheng Guan ◽  
...  

Author(s):  
Yu Chen ◽  
Xuyang Su ◽  
Qian Zhou

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.


2021 ◽  
Vol 69 (1) ◽  
pp. 29-40
Author(s):  
CaiHong Hu ◽  
Guang Ran ◽  
Gang Li ◽  
Yun Yu ◽  
Qiang Wu ◽  
...  

AbstractThe changes of runoff in the middle reaches of the Yellow River basin of China have received considerable attention owing to their sharply decline during recent decades. In this paper, the impacts of rainfall characteristics and land use and cover change on water yields in the Jingle sub-basin of the middle reaches of the Yellow River basin were investigated using a combination of statistical analysis and hydrological simulations. The Levenberg Marquardt and Analysis of Variance methods were used to construct multivariate, nonlinear, model equations between runoff coefficient and rainfall intensity and vegetation coverage. The land use changes from 1971 to 2017 were ascertained using transition matrix analysis. The impact of land use on water yields was estimated using the M-EIES hydrological model. The results show that the runoff during flood season (July to September) decreased significantly after 2000, whereas slightly decreasing trend was detected for precipitation. Furthermore, there were increase in short, intense, rainfall events after 2000 and this rainfall events were more conducive to flood generation. The “Grain for Green” project was carried out in 1999, and the land use in the middle reaches of the Yellow River improved significantly, which make the vegetation coverage (Vc) of the Jingle sub-basin increased by 13%. When Vc approaches 48%, the runoff coefficient decreased to the lowest, and the vegetation conditions have the greatest effect on reducing runoff. Both land use and climate can change the water yield in the basin, but for areas where land use has significantly improved, the impact of land use change on water yield plays a dominant role. The results acquired in this study provide a useful reference for water resources planning and soil and water conservation in the erodible areas of the middle reaches of the Yellow River basin.


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