The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China

Jingbo Liu, Haoyuan Feng, Kun Wang*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

40 Citations (Scopus)
140 Downloads (Pure)

Abstract

Against the backdrop of severe global warming, the low-carbon city pilot policy, with carbon emission reduction as its main objective, is an important initiative for China to fulfil its international commitment to carbon emission reduction and promote a green and low-carbon development strategy. However, none of the literature has yet evaluated whether the pilot low-carbon city policy promotes urban land use efficiency as a policy effect. In view of this, this paper measures urban land use efficiency from a low-carbon perspective using a global reference super-efficiency SBM model based on data from 186 prefecture-level cities in China from 2005–2017, and subsequently constructs a difference-in-differences method to test the true impact of low-carbon city pilot policies on urban land use efficiency and carbon emissions, and uses a propensity score matching method to test its robustness. It is found that: (1) the average level of urban land use efficiency in China is low and on a downward trend; (2) overall, cities are predominantly low-efficiency cities, with only the high-efficiency cities in Guangdong Province showing spatial agglomeration; and (3) the low-carbon city pilot policy reduces carbon emissions while also negatively affecting urban land use efficiency. Accordingly, this paper puts forward corresponding policy recommendations.

Original languageEnglish
Article number604
JournalLand
Volume11
Issue number5
DOIs
Publication statusPublished - May 2022

Keywords

  • carbon emissions
  • difference-in-differences method
  • low-carbon city pilot policy
  • urban land use efficiency

Fingerprint

Dive into the research topics of 'The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China'. Together they form a unique fingerprint.

Cite this