Abstract
In water governance, the government, downstream residents, and upstream farmers are closely associated stakeholders. The participation willingness of upstream farmers directly bears on the success of environmental policies. Xin’an River Reservoir Water Protection Zone is the second water source region of Hangzhou, China. Taking this region, for example, this paper surveys the willingness to accept compensation of local rice farmers, mainly using Choice Modelling (CM) methodology. This paper assesses the farmers’ willingness of minimum compensation amount to adopt various ecological compensation means and, on this basis, discusses the key factors determining their willingness to accept compensation. It helps to confirm that the farmer participation mainly depends on whether the government could provide satisfactory compensation incentives to cover farmers’ losses. Hence, at the ending of the paper, we call for the relevant departments of the government fully understanding the farmers’ willingness to accept compensation before formulating compensation policies, so that the compensation at least reaches the minimum requirements of farmers. Only in this way could the water source region achieve the optimal efficiency in environmental governance.
Highlights
Drinking water source regions guarantee the safe water supply to urban and rural areas. e safety of water environment should be top priority of these regions [1]
Agricultural nonpoint source pollution causes a global water safety problem. e pollution sources from planting industry have direct and indirect impacts on drinking water, and the hazard is on the rise. e most concerned pollutants include fertilizer and pesticide [7]. e effects of fertilizer on the water body are mainly reflected in the water quality problems caused by nitrogen and phosphorus entering the water system [8]
It follows one core thought: any object can be described by a group of characteristic elements and these elements’ varying levels; the decision-maker’s utility stems from the object’s attributes rather than the object itself; individuals can achieve utility from such elements; and the changes in attributes may lead to changes in utility. e Choice Modelling (CM) designs the choice set composed of different attribute states in the form of a questionnaire and asks each respondent to choose the alternative with the highest utility in his/her mind from each choice set
Summary
Drinking water source regions guarantee the safe water supply to urban and rural areas. e safety of water environment should be top priority of these regions [1]. A province in southeastern China, has effectively controlled industrial point-source pollution in major water source regions, including Xin’an River Reservoir, under the regulation policies that limit or ban development. Agricultural nonpoint source pollution, which is caused by intensive agrochemical input in agricultural production activities, contributes to declining water quality and aquatic ecosystems [2] and has long been a difficulty in governance because it is dispersed, concealed, random, ubiquitous, and difficult to detect [3, 4]. Agricultural nonpoint source pollution becomes a major pollution source of the rural environment in water source regions [5, 6]. Agricultural nonpoint source pollution causes a global water safety problem. E effects of fertilizer on the water body are mainly reflected in the water quality problems caused by nitrogen and phosphorus entering the water system [8]. Lots of monitoring data from Europe and Discrete Dynamics in Nature and Society
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