Panel data of green total factor productivity of gtfp in all provinces (2004-2018)

1、 Data sources ： China Environmental Statistics Yearbook

2、 time span ：2004-2018 year  

3、 Regional scope ： The national 30 Provinces and municipalities

4、 Data description ：

Some of the data are as follows ：

5、 Calculation method ：

With 2004 Year is the base period , Based on unexpected output , Use unguided SBM Model -GML Index to measure , Super efficient and non super efficient , I've done the same , Results and MAXDEA The software estimates the same .
2004 Year of GTFP Are all 1,MI The index is the change rate of green total factor productivity , But I also converted the green total factor productivity .

among ： input 1 Invest in labor , The number of employed persons at the end of each province is adopted , The data comes from the statistical yearbook of provinces, cities and autonomous regions or the national development and statistical bulletin of the province .
input 2 Capital investment , Use the perpetual inventory method to measure , With 2000 Year is the base period , The data comes from Ding Caicai . Links are as follows https://bbs.pinggu.org/thread-10777343-1-1.html
input 3 Invest in energy , Adopt the energy consumption of provinces, cities and autonomous regions （ Ten thousand tons of standard coal ）, The data comes from 《 China Energy Statistics Yearbook 》.

The expected output is the actual output of provinces, cities and autonomous regions GDP, With 2004 Year is the base period for conversion .

The choice of unexpected output is （1） In industrial wastewater COD Emissions ;2） Industry SO2 Emissions . originate 《 China Environmental Statistics Yearbook 》, Index selection reference 《 be based on DEA Evaluation method of green total factor productivity among provinces in China —— On the differences of different model choices 》—— Feng Jie Zhang Shiqiu

Related literature ：

[1] Li Bin , Peng Xing , Ouyang Mingke . Environmental regulation 、 Green total factor productivity and the transformation of China's industrial development mode —— be based on 36 An empirical study of industrial data [J]. China's industrial economy , 2013(04):56-68.

[2] Hu Xiaozhen , Yang long . Analysis on the difference and convergence of regional green total factor productivity growth in China [J]. Financial Research , 2011.

[3] Yuan Yijun , Xie Ronghui . FDI、 Environmental regulation and China's industrial green total factor productivity growth —— be based on Luenberger An empirical study of the index [J]. International trade issues , 2015(8):10.

[4] Yin Baoqing , YIN, Bao-qing1, etc. . Environmental regulation and green total factor productivity of China's manufacturing industry —— Empirical analysis based on the perspective of international vertical specialization [J]. Chinese population : Resources and environment , 2012.

Download link ： Green total factor productivity of all provinces GTFP Panel data （2004-2018 year ）.zip- Dataset document class resources -CSDN download