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Urban climate adaptability and green total-factor productivity: Evidence from double dual machine learning and
Huwei Wen1, Keyu Hu1, Xuan-Hoa Nghiem2
1School of Economics and Management, Nanchang University, Nanchang, 330031, China.
Journal of Environmental Management
|November 24, 2023
Summary
Building climate-resilient cities significantly boosts green development and productivity in Chinese cities. This policy enhances urban sustainability, supported by digital economy advancements and talent attraction.
Area of Science:
- Environmental Science
- Urban Planning
- Economics
Background:
- Climate change poses a significant threat to sustainable socio-economic development.
- Climate adaptation is crucial for regional sustainable development models.
- Research focuses on evaluating the impact of climate policies on urban green development.
Purpose of the Study:
- To investigate the impact of climate adaptability policies on green regional sustainable development.
- To assess the effect of building climate-resilient cities on urban green total-factor productivity.
- To explore the role of the digital economy in enhancing climate adaptation policies' effectiveness.
Main Methods:
- Utilized panel data from 284 Chinese prefecture-level cities (2007-2020).
- Employed quasi-experimental methods, including difference-in-differences (DID) design and double dual machine learning.
- Applied entropy-weight and propensity score matching within the DID framework.
Main Results:
- Pilot policies for building climate-resilient cities significantly improved urban green total-factor productivity.
- The digital economy amplified the positive effects of climate adaptation policies on green development.
- Policy interventions optimized industrial structures and enhanced economic resilience, promoting green urban growth.
Conclusions:
- Climate adaptability policies effectively promote green urban development in China.
- Attracting skilled talent and enterprises, alongside technological progress, contributes to urban green development.
- The study offers objective insights for global climate change adaptation and public policy optimization.
Keywords:
ChinaClimate changeDigital economyDouble dual machine learningGreen developmentPilot policyMore Related Videos
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