PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 18, 2026Sustainability4 citationsOpen Access

Synergistic Enhancement of Low-Carbon City Policies and National Big Data Comprehensive Experimental Zone Policies on Green Total Factor Productivity: Evidence from Pilot Cities in China

View Full Paper
YWYan WangZXZhiqing Xia

Key Points

  • To explore the collaborative effect of Low-Carbon City Policy and National Big Data Comprehensive Pilot Zone Policy on green total factor productivity.
  • Analyzed panel data from 269 prefecture-level cities in China (2006-2022)
  • Utilized a multi-period difference-in-differences model to assess policy effects
  • Constructed a 'dual-pilot' policy framework to evaluate collaborative impacts
  • The 'dual-pilot' policy significantly enhances green total factor productivity compared to a single policy
  • The enabling effect persists through various robustness tests
  • Mechanisms of improvement include advancements in green technology and industrial clustering
  • Geographical and demographic factors influence the effectiveness of the 'dual-pilot' policy, particularly in coastal cities and areas with high population density.

Abstract

Green total factor productivity (GTFP), as an important indicator considering both economic development and environmental protection, has prompted countries around the world to actively explore ways to improve it in the context of the global transition to a green economy. The Low-Carbon City Policy (LCCP) implemented by the Chinese government, along with the National Big Data Comprehensive Pilot Zone Policy (NBDCPZ), which serve as key carriers of green regulation and digital innovation, respectively, play an important role in improving green total factor productivity (GTFP) and achieving high-quality economic development. This study aims to deeply explore whether there is a collaborative enabling effect of the Low-Carbon City Policy (LCCP) and the National Big Data Comprehensive Pilot Zone Policy (NBDCPZ) on green total factor productivity (GTFP) and to reveal the internal mechanism by which they improve GTFP through green technological innovation and industrial agglomeration. Specifically, based on the panel data of 269 prefecture-level cities in China from 2006 to 2022, a “dual-pilot” policy is constructed through LCCP and NBDCPZ, and a multi-period difference-in-differences model (DID) is used to evaluate the collaborative effect of the “dual-pilot” policy on GTFP. The results show that the “dual-pilot” policy has a significant collaborative effect on green total factor productivity (GTFP), and its enabling effect is more obvious than that of the “single-pilot” policy. These conclusions still hold after a series of endogeneity and robustness tests. Mechanism analysis shows that the “dual-pilot” policy can also improve green total factor productivity (GTFP) through green technological innovation and industrial agglomeration. Heterogeneity analysis reveals that the collaborative enabling effect of the “dual-pilot” policy is influenced by geographical location and population density. Specifically, the “dual-pilot” policy significantly promotes green total factor productivity (GTFP) in coastal cities and those with high population density. These research results provide a scientific basis for formulating green development policies in China and other countries, as well as a direction for subsequent research on the collaborative enabling effect of multiple policies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/696c77d4eb60fb80d13961cbhttps://doi.org/10.3390/su18020936
Ask AI
Helpful
Bookmark
Share
View Full Paper