Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144677
Title: Pricing water quality in China : valuation using happiness data
Authors: Lim, Jamie Si Ying
Keywords: Social sciences::Economic development
Science::General::Economic and business aspects
Issue Date: 2020
Publisher: Nanyang Technological University
Abstract: Water quality is a key policy challenge for China, even with the increased implementation of various policies targeting it in recent years. To ensure that the most efficient policies are implemented, accurate economic valuation for the costs of water pollutants are required to conduct cost-benefit analysis. This paper addresses two key existing literature gaps, firstly, in usage of the happiness approach to provide a value for water quality, and secondly, the provision of values for individual water quality indicators in China. Data from the China Family Panel Studies (CFPS) was used in tandem with other data sources to create multivariate regression models so as to study the relationship between happiness and pH, dissolved oxygen (DO), potassium permanganate (KMnO4), and ammonia nitrogen (NH3-N) respectively, as well as to obtain willingness to pay (WTP) values for each. Heterogenous effects and values for different groups were also modelled. Even though the robustness checks and WTP values indicate that there may be omitted variable bias or other underlying issues that may limit the direct application of these results for policy applications, the results provide suggestive evidence for the relationship between happiness and pH, DO, KMnO4, and NH3-N in China and possible avenues for future research.
URI: https://hdl.handle.net/10356/144677
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:ASE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Final Written Report_Jamie Lim.pdf
  Restricted Access
4.44 MBAdobe PDFView/Open

Page view(s)

141
Updated on Oct 24, 2021

Download(s) 50

23
Updated on Oct 24, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.