Will low-carbon transformation cause income inequality? Empirical evidence from the low-carbon city pilot policy
Dados Bibliográficos
| ID | 10860809 |
|---|---|
| Autores | Dong Liang (0009-0004-5119-3014, China Agricultural University), Yu Liu (0000-0002-0016-2902, Peking University), Shuo Zhang (0000-0002-7812-4260, China Agricultural University), Boyang Chen (0009-0007-7772-4962, University of Hong Kong, Hong Kong, autor correspondente) |
| Ano | 2025 |
| Volume | 62 |
| Fascículo | 8 |
| Páginas | 1566-1583 |
| Data de publicação | 2025-06-01 |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Urban Studies (JOURNAL) |
| Identificadores do periódico | ISSN: 0042-0980 • E-ISSN: 1360-063X |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00420980241294163 |
| OpenAlex | W4405642596 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 35 |
As a profound systemic economic and social transformation, the deepening of China’s low-carbon transformation will inevitably have a remarkable impact on social issues such as income and equity. Based on panel data consisting of 279 cities in China between 2007 and 2020 and theoretical modelling and derivation, this study constructs an income inequality index of cities in China using district- and county-level nighttime light data, and empirically estimates the impact of China’s pilot policy for low-carbon city on income inequality using a difference-in-differences model. In this study, through empirical analyses, we found that: (i) the pilot policy can significantly reduce income inequality in cities; (ii) the mechanism analysis illustrates that the policy affects cities’ income inequality through the demand-side skill-biased technological progress and the supply-side upgrading of labour skill structure, and the mitigating effect of the policy on income inequality is mainly due to its enhancing effect on the upgrading of labour skill structure; (iii) heterogeneity research demonstrates that the impact of the policy on income inequality is heterogeneous in terms of geographical locations, resource endowment and labour skills; and (iv) further research shows that the policy improves the welfare of residents. Our findings provide useful implications for promoting low-carbon transformation and fair income distribution in cities
Carbon fibers · Demographic economics · Economic growth · Economic inequality · Economics · Empirical evidence · Inequality · Labour economics · Low income · Low income housing · Public economics · Transformation (genetics · Energy, Environment, and Transportation Policies · Impact of Light on Environment and Health · Mathematics · Urban Transport and Accessibility
Remote sensing of night lights
Arrival of Young Talent
Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics
How much should we trust staggered difference-in-differences estimates?
Difference-in-differences with variation in treatment timing
Estimating dynamic treatment effects in event studies with heterogeneous treatment effects
Income inequality, energy poverty, and energy efficiency
Energy efficiency
Salience and Taxation
Global Inequality in a more educated world
Urban debates for climate change after the Kyoto Protocol
Scaling-up low-carbon urban initiatives
| Citações por ano | 3 |
|---|---|
| Intervalo de citações | 2026 - 2026 (1) |
| Altamente citado | Não |