Journal of Natural Resources, Volume. 35, Issue 11, 2744(2020)
Fig. 2. Distribution of export value of energy-intensive industries in 2011 and 2016
Fig. 3. Structure of energy-intensive industries from 2011 to 2016
Fig. 4. Structure of energy-intensive industries of seven regions in 2011 and 2016
Fig. 5. Distribution of entry rates of energy-intensive industries from 2011 to 2016
Fig. 6. Distribution of public environmental pressure index in 2011 and 2015
Table 1. The core variables
View tableView in ArticleTable 1. The core variables
指标含义 指标选取 指标来源 公众环境关注 环境关注度 百度指数 百度指数官方网站 非正式环境规制 环境投诉 电话或网络投诉数量 《中国环境统计年鉴》 环境建议与提案 人大建议和政协提案数量 《中国环境统计年鉴》 正式环境规制 环境法规 现行有效的地方性环境法规和 政府规章总数量 《中国环境统计年鉴》 环境规制执行 企业环境违规数量 公众环境研究中心官方网站
Table 2. The proportion of export value of energy-intensive industries in main provinces (%)
View tableView in ArticleTable 2. The proportion of export value of energy-intensive industries in main provinces (%)
省（市、自治区） 2012年 2014年 2016年 变化趋势 江苏省 20.59 20.35 19.46 
广东省 13.77 12.61 12.77 
上海市 11.31 9.79 8.79 
浙江省 10.75 10.67 11.80 
山东省 9.70 10.55 12.25 
河北省 4.51 5.14 5.09 
福建省 3.80 3.73 3.59 
北京市 3.44 2.80 2.46 
辽宁省 3.11 3.48 3.45 
河南省 2.12 2.15 2.13 
江西省 2.11 1.86 1.88 
湖北省 1.89 2.12 2.41 
天津市 1.69 2.22 2.17 
四川省 1.66 1.44 1.43 
安徽省 1.46 1.78 1.92 
湖南省 1.45 1.67 1.22 
重庆市 1.12 1.25 0.92 
山西省 1.05 1.41 1.30 
广西壮族自治区 0.91 0.76 0.77 
陕西省 0.75 0.39 0.58 
Table 3. The empirical results (1)
View tableView in ArticleTable 3. The empirical results (1)
（1） （2） （3） （4） （5） Entry Entry Entry Entry Entry Density 16.12*** 16.15*** 16.12*** 16.23*** 16.17*** Ee 12.26** 12.18** 12.28** 11.85** 11.32** Op 0.0141 0.0143 0.0144 0.0166 0.0172 Gov 0.983*** 0.981*** 0.983*** 0.982*** 0.960*** Tp -0.645 -0.650 -0.645 -0.536 -0.702 Tec 0.0220 0.0233 0.0221 0.0467 0.00670 Lar 0.0436 0.0417 0.0417 0.0375 0.0254 At -0.549** -0.545** -0.549** -0.499* -0.569** Ep 1-0.214** Ep 2-0.0837 Er 1-0.781*** Er 2-0.364*** 常数项 -6.688*** -6.361** -6.614*** -7.420*** -5.766** Log likelihood -44845.564 -44842.861 -44845.375 -44835.363 -44347.211 Pseudo R 20.216 0.216 0.216 0.216 0.214 产业固定效应 Included Included Included Included Included 城市固定效应 Included Included Included Included Included 年份固定效应 Included Included Included Included Included 两控区政策固定效应 Included Included Included Included Included N 347931 347931 347931 347931 347931
Table 4. The empirical results (2)
View tableView in ArticleTable 4. The empirical results (2)
（1） （2） （3） （4） Entry Entry Entry Entry At 0.177 -0.514* -0.382 3.451** Ep 1-0.0591 0.149** Er 1-0.487** -0.127** Er 2-0.229* -0.067** At×Ep 1-0.493*** -0.438*** At×Er 1-1.098*** -0.220 At×Er 2-0.358* 0.262*** 常数项 -6.735*** -7.979*** -5.921** -16.460 Log likelihood -44831.657 -44829.753 -44345.723 -33432.111 Pseudo R 20.216 0.214 0.216 0.153 控制变量 Included Included Included Included 产业固定效应 Included Included Included Included 城市固定效应 Included Included Included Included 年份固定效应 Included Included Included Included 两控区政策固定效应 Included Included Included Included N 347931 347931 347931 347931
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Yong-yuan HUANG, Sheng-jun ZHU.
Received: Dec. 30, 2019
Accepted: --
Published Online: May. 8, 2021
The Author Email: Sheng-jun ZHU (zhus@pku.edu.cn)
