Willingness to pay for ecosystem services and influencing factors in Weigan River Basin

Qiao, Xuning; Yang, Young-Hoon; Yang, Degang

doi:10.3724/sp.j.1011.2012.01254

Cited by 5 publications

(7 citation statements)

References 2 publications

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“…The result derived from stated preference method such as double-bounded CVM is much lower than that of Benefit transfer Costanza method, which is 375 times less than the result obtained from transfer Xie Gaodi method and 33 times less than the result from transfer Costanza method. The research conclusion of Qiao Xiuning( [6,7]) is similar with our study. For evaluating Wei Gan River, CVM and transfer Xie Gaodi method are used in his study.…”

Section: Resultssupporting

confidence: 87%

Is There A Quick Path For Valuation Of Ecosystem Services?-A Comparative Study In Xiu River, China

Wei

Yang

2018

E3S Web Conf.

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This paper uses the valuation of Xiu River Hydrological Regulating services in Jiangxi province, China as a case study to compare 3 methods to value the ecosystem services, i.e improved contingent valuation method, choice based conjoint analysis and special benefit transfer method. Willingness to pay is estimated by using Logit and Clogit with contrasting controls for non-protests residents. This study discusses the implications of these findings and direction for related future researches into the ecosystem services valuation in China. Appropriate methods should be used for different valuation proposes, rather than blindly using special benefit transfer method just for its convenience. China should construct Ecosystem services value table based on Chinese case studies.

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Section: Resultssupporting

confidence: 87%

Is There A Quick Path For Valuation Of Ecosystem Services?-A Comparative Study In Xiu River, China

Wei

Yang

2018

E3S Web Conf.

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“…Research has found that the age of the respondents (Yin and Cai, 2016;Du et al, 2019) and the cultivated land area (Qiao et al, 2018) negatively affected the willingness to pay, while education level, per capita net household income, satisfaction with water management policy (Du et al, 2019), planting area, risk perception ability, regional type (Yin and Cai, 2016), water supply quantity, water supply quality, water fee collection fairness (Wang et al, 2018), water-saving irrigation awareness (Qiao et al, 2018), and other factors positively affected the willingness to pay.…”

Section: Discussionmentioning

confidence: 99%

“…Many influencing factors on the farmers' affordability were found related to economic and psychological factors (Chen et al, 2009) Model for determining the influencing factors for the farmers' willingness to pay for irrigation water price based on social capital Social capital was found to be one of the important factors affecting the farmers' WTP for irrigation water prices; factors such as the farmers' main labor force, arable land area, water supply timeliness, and the working ability of water managers also had significant impacts on the farmers' WTP the irrigation water prices (Zhang et al, 2010) Psychological references point, willingness to pay, and irrigation water price: evidence from 567 farmers from 20 counties in Sichuan Education, gender, last year's household expenditure, last year's rice income, and whether the water price was fair were found to affect the farmers' psychological references point water price to varying degrees (Zhang et al, 2014) Farmers' willingness to pay for water and the influencing factors: a case study of Zhangye City in Heihe River Basin WTP was significantly related to seven factors: total sown area, corn sown area, type of irrigation water, total household income, age of the main family labor force, individual risk perception, and location (Yin and Cai, 2016) Analysis of the farmers' willingness to pay for the irrigation water and effecting factors in the Guanzhong area Household income level, water supply quantity, water supply quality, and water fee collection fairness all had a significant positive impact on the farmers' WTP the water price, whereas irrigation times had a significant negative impact on the WTP (Wang et al, 2018) Farmers' willingness to pay for agricultural irrigation water and its influence factors in the Weigan River basin Factors such as age, gender, educational level, water-saving irrigation, accepting government water conservation for industrial development, and cities (projects) paying for water and giving compensation had a significant impact on the WTP of farmers in the basin (Qiao et al, 2018) Study on the irrigation water price, farmers' willingness to pay in arid areas, and its influencing factors: a case study in Minqin county in Gansu Province…”

Section: Farmers' Psychological Capacity To Bear the Irrigation Water...mentioning

confidence: 99%

“…For example, Chen et al (2009) introduced the conditional value method (CVM) into a study on the WTP for agricultural irrigation water prices, after which the CVM was widely used. Wang et al (2018), Yin and Cai (2016), and Qiao et al (2018) respectively used the CVM to examine the farmers' WTP and the influencing factors in Guanzhong, Zhangye, and the Weigan River Basin. Zhang et al (2014) studied agricultural water prices and the influencing factors on the farmers' psychological affordability.…”

Section: Introductionmentioning

confidence: 99%

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The willingness to pay for agricultural irrigation water and the influencing factors in the Dujiangyan irrigation area: An empirical double-hurdle model analysis

Tang

Yang²,

Guo³

et al. 2022

Front. Environ. Sci.

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Water prices are an efficient way to manage and allocate water resources. A scientific and reasonable water price standard can assist farmers to optimize their water allocations and ensure an efficient agricultural water system. However, under the current agricultural water pricing policy, it is difficult for water resource management departments to achieve sustainable operation because of unreasonable water price standards and the unwillingness of farmers to pay for agricultural irrigation water. Therefore, to ensure the sustainable management of agricultural water departments, it is important to design scientific and reasonable water price mechanisms that give full play to the regulatory role of agricultural water prices and encourage farmers to pay agricultural water fees. Based on survey data from 335 farming households in the Dujiangyan Irrigation Area, Sichuan, China, in 2019, a double-hurdle model was used to assess the willingness to pay for agricultural irrigation water. The willingness to pay was positively impacted by age, education level, willingness to participate, the arable land area, the water fee proportion, and water-saving awareness but negatively impacted by the water price standard and the farmers’ perceptions of the water price standard. Based on these results, to encourage farmers to participate in and afford agricultural water payments and to give full play to the water price adjustment function and other countermeasures, it is proposed that 1) water-saving awareness training be strengthened; 2) agricultural modernization be promoted; and 3) water price standards be scientifically and rationally formulated.

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“…For example, Qiao et al. ( Qiao et al., 2017 ) used the Granger causality method to explain the causal relationship between the spillover effects of ecosystem services in the river basin and the well-being of residents. Yang et al.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

et al. 2023

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Research on ecosystem services and residents’ well-being in old revolutionary base areas is an important task for China’s ecological civilization construction and rural revitalization. Taking Jinzhai County, the core area of Dabie Mountains, China, as an example, based on InVEST model, the methods of spatial autocorrelation and coupling coordinated development degree, the spatiotemporal evolution, spatial heterogeneity and coupling association patterns of ecosystem services and multidimensional well-being in the study area from 2005 to 2020 were discussed. The major results are: In the past 15 years, in the core area of the Dabie Mountains, ecosystem services such as food supply, soil retention and water yield showed an upward trend, carbon sequestration and biodiversity maintenance showed a downward trend. The comprehensive index of multidimensional well-being in the core area of Dabie Mountain increased by 27.23% and the spatial difference in multidimensional well-being is gradually narrowing. By the analysis of coupling coordination, the number of units with the type of coupling disharmony between ecosystem services and multidimensional well-being in the study area decreased significantly from 56.85% in 2005 to 26.81% in 2020, respectively. The analysis of geographical detection showed that the habitat quality factor was the dominant controlling factor of coupling coordination spatial difference. By bivariate spatial autocorrelation analysis, in the past 15 years, the number of units with the “high ecology-high well-being” synergy type increased from 5.44% to 13.31%. The results can provide a reference for accurate identification, optimal regulation and synergistic improvement between ecosystem services and relative poverty in the Dabie Mountain area.

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Willingness to pay for ecosystem services and influencing factors in Weigan River Basin

Cited by 5 publications

References 2 publications

Is There A Quick Path For Valuation Of Ecosystem Services?-A Comparative Study In Xiu River, China

Is There A Quick Path For Valuation Of Ecosystem Services?-A Comparative Study In Xiu River, China

The willingness to pay for agricultural irrigation water and the influencing factors in the Dujiangyan irrigation area: An empirical double-hurdle model analysis

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

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