Cost-Effectiveness of Policy Options for Sustainable Wetland Conservation: A Case Study of Qixinghe Wetland, China

Wu Jian, Wang Xiaoxia and Niu Kunyu
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Wu Jian: School of Environment and Natural Resources, Renmin University of China
Wang Xiaoxia: School of Environment and Natural Resources, Renmin University of China
Niu Kunyu: School of Environment and Natural Resources, Renmin University of China

No rr2010021, EEPSEA Research Report from Economy and Environment Program for Southeast Asia (EEPSEA)

Abstract: This study assesses a number of potential policy options that could help protect the Qixinghe Wetlands which lie in the country's Sanjiang Plain. The region's wetlands are the most important breeding ground and migration route for waterfowls in Northeastern Asia, and provide a habitat for numerous species of wildlife. They face many challenges, one of the most significant being the disruption of the water supplies that feed them. Agriculture is the main cause of this problem, accounting for more than 75% of the total water use in the area. As the flow of water entering the wetlands is diverted, its ecosystem is damaged. This problem affects many wetland areas in China. The study is the work of a team of researchers from Renmin University of China, led by Wu Jian. It assesses the best way to reduce the conflict between wetland water needs and off-site water use. Its overall aim is to help policy makers decide how best to balance economic development with wetland conservation. The study recommends that the local government should reconstruct the irrigation system in the area surrounding the Qixinghe Wetlands as soon as possible. At the same time, training on water saving practices should be promoted amongst farmers. The study also suggests how these two key policies could be supported by improvements in conservation funding and management.

Keywords: wetland; China (search for similar items in EconPapers)
Date: 2010-02, Revised 2010-02
New Economics Papers: this item is included in nep-agr, nep-env and nep-sea
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