模态框(Modal)标题

在这里添加一些文本

模态框(Modal)标题

  • Journal
  • Article
  • Figure
  • Search
EN中文
  • Home
  • About Journal
    • Overview
    • Indexing & Honors
    • Open Access
  • Editorial Board
  • Guide for Authors
  • Browse
    • Current Issue
    • Online First
    • Archive
    • Highlights
    • Topic
    • Archive by Subject
    • Most Viewed
    • Most Download
    • Most Cited
    • E-mail Alert
    • RSS
  • Subscribe
  • Advertisement
  • Contact us
EN中文

Figure/Table detail

The impact of data factor on the low-carbon development of county-level resource-based cities and mechanism: Evidence from the provincial-level public data access platforms
GUO Jiatang, LUO Pinliang
Resources Science, 2024, 46(10): 1944-1958.   DOI: 10.18402/resci.2024.10.04

Figure 3 Parallel trend test and dynamic effect analysis
Other figure/table from this article
  • Figure 1 Timeline of the launch of China’s 24 provincial-level public data access platforms
  • Figure 2 Theoretical framework of analysis
  • Table 1 Variable definition and descriptive statistics
  • Table 2 Benchmark regression results of data factor on the carbon emission reduction effect of resource-based cities
  • Figure 4 Placebo test results
  • Table 3 Bacon decomposition results
  • Table 4 Robust estimation results considering heterogeneity
  • Table 5 Mechanism test results
  • Table 6 Heterogeneity test results

Website Copyright © Resources Science, All Rights Reserved.
Tel: 010-64889446 
E-mail: zykx@igsnrr.ac.cn
Powered by Beijing Magtech Co. Ltd