Valuing urban landscape using subjective well-being data: Empirical evidence from Dalian, China

Erda Wang, Nannan Kang, Yang Yu

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

It has been well recognized that the urban landscape ecosystem is able to make a great contribution to the quality of life for people who live in the city and beyond, thus it can potentially accrue a significant economic value to the human well-being. However, due to its public good nature, it is difficult to monetizing its values in a systematic manner. In this paper, we attempt to assess the economic value of the urban landscape through people's life satisfaction approach utilizing a large sample of dataset complied from the general public survey in Dalian City which is one of the well-known tourism cities in China. The results indicate that most of the urban landscape attributes impose significant effects on people's life satisfaction, thus accruing a considerable amount of value to the local residents. Taking a 10-point ranking scale for the urban landscape quality as an example, the household willingness to pay on average reaches ¥24,579 per annum for one point of ranking level increase. Relative to the low level of household income, those high-income households are much keener to the changes of the landscape quality. If the urban landscape quality is disaggregated into five levels, household's marginal willingness-to-pay diminishes as the urban landscape's rank level is improved.

Original languageEnglish
Article number36
JournalSustainability (Switzerland)
Volume10
Issue number1
DOIs
Publication statusPublished - Dec 24 2017

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Fingerprint Dive into the research topics of 'Valuing urban landscape using subjective well-being data: Empirical evidence from Dalian, China'. Together they form a unique fingerprint.

Cite this