2008年-世界发展银行全球_Domestic_Water_Pricing_with_Household_Surveys___A_Study_of_Acceptability_and_Willingness_to_Pay_in_Chongqing_China_33页_224kb

Summary of "Domestic Water Pricing with Household Surveys: A Study of Acceptability and Willingness to Pay in Chongqing, China"

Core Content

This paper explores the use of household surveys to assess the acceptability of water prices and willingness to pay (WTP) for improved water services in Chongqing, China. It introduces a multiple bounded discrete choice (MBDC) model to capture more nuanced and accurate responses from households regarding water pricing and service improvements. The study emphasizes the importance of considering both supply-side and demand-side strategies in water pricing, with a focus on the latter due to its relevance to social equity and affordability.

Main Points

Water Pricing and Its Importance

• Water pricing is a key tool for managing water use and promoting efficiency.
• Efficient pricing should reflect the demand and supply relationship, but in practice, it is often influenced by social and economic factors.
• Water pricing strategies vary globally, including:
  • No water charge
  • Flat-fee charges
  • Single volumetric charges
  • Two-part tariffs
  • Increasing block tariffs
  • Decreasing block tariffs
  • Peak load or seasonal pricing

Challenges in Water Pricing

• Traditional pricing models often fail to account for affordability of low-income households.
• The contingent valuation method (CVM) is used to estimate WTP but has limitations, such as not capturing individual-level affordability and sensitivity to price changes.
• The MBDC model improves upon CVM by allowing for more detailed and reliable WTP and acceptability assessments.

Chongqing Context

• Chongqing faces severe water service inadequacy and limited financial resources for improvement.
• The city has a two-part pricing mechanism (water price + wastewater treatment fee), with current prices ranging from 1.8 to 2.8 yuan per ton.
• Water supply is heavily subsidized, which benefits high-income households more than low-income ones and distorts market efficiency.

Survey Methodology

• A household survey was conducted in five suburban districts of Chongqing, involving 1,502 households (84% response rate).
• The survey included nine sections, with a focus on WTP using the MBDC approach.
• The price range for WTP assessment was from 0.5 to 15 yuan per ton.
• The ordering effect of price lists was tested, showing that the sequence of prices presented to respondents can influence their responses.

Key Findings

Acceptability of Water Prices

• At 0.5 yuan/ton, 92% of households considered the price very low.
• Acceptability decreased as prices increased:
  • 1 yuan/ton: 99.5%
  • 1.5 yuan/ton: 97.4%
  • 2 yuan/ton: 81.3%
  • 2.5 yuan/ton: 56.2%
  • 3 yuan/ton: <40%
  • 3.5 yuan/ton: 28.9% found it high, 53.6% found it too high
  • 4 yuan/ton: 94.6% found it high or too high

Willingness to Pay (WTP)

• The mean WTP for households was 2.37 yuan/ton.
• The median WTP was 2.27 yuan/ton.
• The standard variance of WTP was 1.53 yuan.
• The MBDC model allows for the estimation of WTP distributions and affordability for different subgroups.

Affordability and Social Equity

• Water expenditure typically constitutes less than 1.1% of household income.
• A burden threshold of 5% of total household expenditure is considered acceptable for water affordability.
• Low-income households are the least able to benefit from subsidies and are most affected by poor water supply.
• Increasing water prices and reducing subsidies are necessary to improve efficiency and equity in the domestic water sector.

Conclusion

• The MBDC model provides a more accurate and comprehensive way to assess water pricing acceptability and WTP.
• The study shows that a moderate price increase is feasible in Chongqing, provided that subsidies are targeted to the poorest households and public awareness campaigns are conducted.
• The ordering effect in survey questions must be considered when designing instruments to avoid bias.
• The findings support the need for reforms in domestic water pricing to achieve better cost recovery and social equity.

Key Information

• Survey Sample: 1,502 households in five suburban districts of Chongqing.
• Price Range: 0.5 to 15 yuan per ton.
• WTP Estimation Model: Equation (5) is used to estimate mean WTP and standard variance for each household.
• Methodological Innovation: The MBDC model enhances the accuracy of WTP estimation by allowing for more detailed responses and capturing individual-level affordability.
• Policy Implication: The study suggests that targeted subsidies and public engagement are essential for implementing price reforms in water services.