都市型农业土地利用面源污染环保意识和支付意愿研究

研究针对北京郊区农业集约化水平较高的顺义区蔬菜化肥和农药超量使用及大型养殖场废弃物排放给生态环境带来严重的不良影响问题，在大量农业面源污染研究的基础上，采用CVM方法，评估了顺义区公众对以上农业活动造成的地下水环境污染问题的环境意识和支付意愿，研究结果表明：首都郊区农民的环保意识在增强；家庭人均纯收入、受访者的受教育程度与支付意愿呈显著正相关；受访者的年龄与支付意愿则呈显著负相关。该研究还计算了顺义区2002年全区农民的平均支付意愿是49．18元/人，该年全区人民总支付意愿为2680．861万元人民币。该研究可为有关部门对农业面源污染进行治理提供参考依据。     

华北高产农区公众对农业面源污染的环境保护意识及支付意愿调查

应用假设市场价值评估法(CVM)调查了华北高产农业区桓台县公众对防治农业面源污染地下水所需费用的支付意愿;评价了公众对技术、经济、政策等解决手段的期望和行为选择。调查表明,有60%以上的公众表现出能够为后代人着想而保护农业环境的可持续发展意识,有76%的人对污染现状的改善和治理持积极态度,人均支付意愿为22.8元·a-1,但公众对农业面源污染的环境保护意识不足。影响农民公众支付意愿的因素主要有家庭收入、受教育程度和职业。经推算,该县公众1a总支付意愿大约是1114.8～1320.2万元。可采取的环境保护技术措施以改良耕作习惯、控制化肥施用量为主,法制化的环保手段需要与公众环保意识相适应。     

Income inequality and willingness to pay for environmental public goods

We study how the distribution of income among members of society, and income inequality in particular, affects social willingness to pay (WTP) for environmental public goods. We find that social WTP for environmental goods decreases (increases) with income inequality if and only if environmental goods and manufactured goods are substitutes (complements). We derive adjustment factors for benefit transfer to control for differences in income distributions between a study site and a policy site. For illustration, we quantify how social WTP for environmental public goods depends on the respective income distributions for empirical case studies in Sweden and the World at large. We find that the adjustment for income inequality can be substantial.     

宝天高速公路沿线生态环境保护居民支付意愿评价

平均支付意愿是条件估值法（CVM）推导环境物品总经济价值的一种表征尺度。以宝天高速公路修建过程中保护生态环境为例,采用支付卡式CVM研究方法,对沿线居民支付意愿进行了详细分析。结果表明：平均支付意愿在收入、教育程度、年龄、性别和职业稳定变量上均存在不同程度的组群差异。t检验显示收入、教育两个变量平均支付意愿组间差异显著;而协方差分析表明收入水平是影响平均支付意愿在年龄、性别、职业稳定变量组间差异不突出的主要原因,也是导致支付意愿存在组群差异的最主要因素。最后利用回归模型计算得到,宝天高速公路（牛背至天水段）沿线生态环境保护的居民平均支付意愿为42.77元。     

Determinants of the marginal willingness to pay for improved domestic water and irrigation in partially electrified Rwandan villages

Access to water for domestic and irrigation uses remains limited across Sub-Saharan Africa, particularly in rural areas. While the technical feasibility of implementing innovative technologies to improve water supply has been often evaluated, less is known about the drivers that motivate users to pay for obtaining the inherent benefits of improved water supply. In this article, the determinants of the marginal willingness to pay (mWTP) for improved domestic and irrigation water are investigated. For this purpose, a contingent valuation study is performed in rural Rwanda. This study uses survey data from 316 households situated in 8 villages, in which ~20% of the households receive electricity thanks to microgrids powered by solar energy. It is found that the mWTP for improved domestic water supply is influenced by the proportion of children in the household, business ownership, and satisfaction with water quantity and quality. The mWTP for irrigation is determined by respondent education, business ownership and crop area planted. This paper contributes to the literature by allowing a comparison of the determinants of the mWTP for improved domestic water supply to the determinants of the mWTP for irrigation. Another contribution is to examine the mWTP for improved water infrastructure in partially electrified villages. Identifying areas with high marginal benefits from water can guide infrastructure investment and electrification efforts while improving well-being and increasing revenues in rural areas.     

Measuring marginal willingness to pay using conjoint analysis and developing benefit transfer functions in various Asian cities

We need a consistent methodology to measure the co-benefits of climate change mitigation across Asian countries. This study chose a strategy of modifying the Japan-specific life-cycle impact assessment method based on endpoint modeling (LIME) for wider application across countries. LIME has two dimensions. First, it is an environmental science that links the cause-and-effect chain. Second, it is an environmental valuation that weighs four endpoint damages in monetary terms through a conjoint analysis that is derived from an Internet-based questionnaire survey. This article describes the modification of the methodology for application of the conjoint analysis to weigh environmental impacts. We approached the investigation as follows. First, we conducted Internet surveys to measure marginal willingness-to-pay (MWTP). We used a sample of 112 respondents in their 20 s to 40 s, divided equally between men and women, in 11 cities across China, India, and Southeast Asia. The results obtained showed clear statistical significance and were comparable across the cities. Second, we attempted to develop functions (called benefit transfer functions) to simplify the measured MWTP in order to apply it across different Asian countries. The functions were derived through a stepwise meta-analytic method, a type of multiple regression analysis whose independent variable was MWTP and dependent variables were attributes of both respondents and surveyed cities. The functions showed that coal consumption and percentage of nature reserve were dependent variables. Then, the MWTPs estimated from the functions were compared with the measured MWTP for transfer error, which is calculated by the absolute value of the difference between the estimated value and the measured value divided by the latter. The transfer error was below 50% in about 90% of the 44 results (a combination of four endpoints and 11 cities), implying that the developed functions were statistically significant.     

Willingness to pay to improve domestic water supply in rural areas of Central Tanzania: Implications for policy

This analysis estimates willingness to pay to improve community-based rural water utilities in the Dodoma and Singida Regions of Central Tanzania, using Multinomial Logit functions. An estimate of willingness to pay provides an indication of the demand for improved services and potential for them being sustainable. Surveys were conducted in a total of 30 villages in the two regions. In the Dodoma Region, about 14% of respondents indicated that they were satisfied with the status quo, 64% suggested increasing water discharge and watering points, and 22% proposed other improvements relating to water quality. In the Singida Region, 31% of the respondents were satisfied with the status quo, 59% wanted deeper boreholes and watering points, and 10% indicated other types of improvement relating to water quality. The Multinomial Logit functions indicated that the interaction between the water quality variable and proposed bids were important in making choices with reference to the type of improvement desired. Respondents who wanted to increase water supply in Dodoma Region were willing to pay 32 Tsh above the existing tariff of 20 Tsh/bucket. In the Singida Region, the analogous amount was 91 Tsh per household per year above the existing user fee of 508 Tsh per household per year. If the tariff or user fees have to be increased, the estimated average potential revenue for the surveyed villages was 252 million Tsh/year (US$265 263) in the Dodoma Region, and 5.2 million Tsh/year (US$5474) in the Singida Region. In the future, strategic planning is needed to ensure that improvements proposed potentially improve cost recovery initiatives and increase the level of consumer satisfaction. Also, care will be needed to ensure that more disadvantaged community members do not suffer unduly from increases in tariff or user fees.     

Factors influencing the willingness to pay for sustainable tourism: a case of mass tourism destinations

A 17-month research programme focused on development of an Education for Sustainability (EFS) Global Media Network at Ball State University Indiana was recently concluded. The study results include some surprising conclusions related to the contradictions between the benefits of education for global sustainability and the use of technology to facilitate that educational process in achieving a more sustainable world. This article provides an overview of the EFS Network research programme and a discussion of some of the key results and conclusions related to advantages and disadvantages of technology-based learning. The article then addresses the environmental impact of computer technology manufacturing, use, and after-use. Research findings are utilized to illustrate the ecological footprint of computer-based education. The article concludes with a discussion about achieving a balance between the need for global-to-local sustainable education and the environmental impact of technology use for sustainable education.     

Microcredit and willingness to pay for environmental quality: Evidence from a randomized-controlled trial of finance for sanitation in rural Cambodia

Low willingness to pay (WTP) for environmental quality in developing countries is a key research question in environmental economics. One explanation is that missing credit markets may suppress WTP for environmental improvements that require large up-front investments. We test the impact of microloans on WTP for hygienic latrines via a randomized controlled trial in 30 villages in rural Cambodia. We find that microcredit dramatically raises WTP for improved latrines, with 60% of households in the Financing arm willing to purchase at an unsubsidized price, relative to 25% in the Non-financing arm. Effects on latrine installation are positive but muted by several factors, including a negative peer effect: randomly induced purchases by neighbors reduce a household's probability of installing its own latrine. On methodological grounds, this paper shows that a “decision-focused evaluation” can be integrated into academic analysis to provide insight into questions of general interest.