Abstract

We develop a framework to analyze urban water tariff setting and its welfare implications and apply it to a panel of cities in the People’s Republic of China in the 2000s. First, we find that peer cities’ water tariff levels have a significant influence on a city’s choice of tariffs. We use the peer cities’ average tariff as an instrumental variable to estimate water demand functions, which yields elasticity estimates of around –0.41 for both residential and industrial sectors. Second, estimation of cost functions reveals the supply of urban water services to be characterized by strong economies of scale with the majority of sample city–years on the downward sloping segment of marginal cost curves. More than half of the sample have residential water tariffs higher than the corresponding marginal costs while the share increases to 71% for the industrial sector. The deadweight loss calculated under first-best pricing suggests moderate welfare loss due to prices deviating from the equilibrium. Finally, we show that taking into account nonrevenue water losses justifies an efficient price higher than the equilibrium price.

Highlights

  • Rapid urbanization is a feature of economic development in many developing countries

  • This study develops a framework for analyzing whether water tariffs are set optimally

  • We start with an effort to understand how urban water tariffs have been set in the context of cities in the People’s Republic of China (PRC) in the 2000s

Read more

Summary

INTRODUCTION

Rapid urbanization is a feature of economic development in many developing countries. Overlaying the demand and supply functions, we find that more than half of the sample city–years have residential water tariffs higher than the corresponding marginal costs while the share increases to 71% for the industrial sector. This result counters the conventional wisdom that water tariffs are generally set too low in the PRC.. The tariffs are averaged across residential and industrial sectors with the amount of water provided to each sector as weights It shows that by 2003, utilities that had sufficient revenues to cover costs outnumbered cities running deficits.

URBAN WATER TARIFF SETTING
Empirical Model
Results
WATER DEMAND ESTIMATION
WATER SUPPLY ESTIMATION
WELFARE ANALYSIS
Optimal Pricing with Nonrevenue Water
CONCLUSION
Findings
32 | References
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call