人均碳排放和效益协调视角下的中国分省碳减排潜力数据集

在人均碳排放和效率协调基础上，计算区域碳减排潜力，对于更好地促进绿色低碳经济发展具有积极意义。人均碳排放和效益协调视角下的中国省（区、市）碳减排潜力数据集是基于《中国统计年鉴》、《中国能源统计年鉴》和“国泰安金融数据库”中1997-2015年中国29个省级地区（海南、西藏、香港、澳门、台湾因数据不全，没有统计）的数据为基础开发得到。研发的流程包括：首先按照各省的投资隐含平减指数将历年的固定资本形成额统一折算成1952年不变价的数值，然后根据所设定的折旧率和基期资本存量，运用永续盘存法对历年资本存量进行估算，得到资本存量数据；将1997-2015年各省名义GDP除以1952年为基期的GDP平减指数得到以1952年为基期的实际GDP；根据化石燃料燃烧以及水泥的消耗量以及对应的碳排放系数折算得到各省份碳排放总量，再除以年末总人口数计算得到人均碳排放量数据；运用每单位国民生产总值的增长所带来的二氧化碳排量表征碳排放强度；通过Super-SBM模型测算了碳排放效率；基于Markov链框架测算了人均碳排放和效率的俱乐部趋同指数，以分析人均碳排放和效率原则在考察中国碳减排潜力中的重要性以及在制定碳减排政策时的侧重点，进而在人均碳排放与效率协调的视角下重新测算出各省份的碳减排潜力，得到人均碳排放与效率协调视角下的中国29省碳减排潜力数据集。该数据集包括：（1） 1997-2015年中国29省资本存量数据；（2）1997-2015年中国29省以1952年为基期的实际GDP；（3）1997-2015年中国29省人均碳排放量数据；（4）1997-2015年中国29省碳排放强度数据；（5）1997-2015年中国29省碳排放效率（Super-SBM模型）；（6）1997-2015年中国29省能源消费数据；（7）中国人均碳排放与效率的Markov转移概率结果；（8）不同时长下人均碳排放和效率的俱乐部趋同指数模型；（9）人均碳排放与效率的区域固化程度差异检验；（10）人均碳排放与效率协调视角下中国各省份碳减排潜力指数测算。数据集存储为.xlsx格式，由1个文件组成，数据量为134 KB。基于该数据集的分析研究成果发表在《自然资源学报》2019年第34卷第1期。

Calculating regional carbon emission reduction potential based on the coordination of per capita carbon emissions and efficiency is of positive significance for promoting green and low-carbon economic development. The dataset of carbon emission reduction potential of China's provinces (autonomous regions and municipalities) from the perspective of coordinating per capita carbon emissions and efficiency was developed using data from 29 provincial-level administrative regions in China from 1997 to 2015, sourced from the "China Statistical Yearbook", "China Energy Statistical Yearbook", and the CSMAR Financial Database. Hainan, Tibet, Hong Kong, Macao and Taiwan are excluded due to incomplete data. The development process is as follows: First, the fixed capital formation over the years is uniformly converted into values at constant 1952 prices using the investment implicit deflator of each province. Then, based on the set depreciation rate and base-year capital stock, the perpetual inventory method is applied to estimate the capital stock across years, yielding the capital stock data. The nominal GDP of each province from 1997 to 2015 is divided by the GDP deflator with 1952 as the base year to obtain real GDP with 1952 as the base year. The total carbon emissions of each province are converted based on the consumption of fossil fuels and cement and their corresponding carbon emission coefficients, then divided by the total population at the end of the year to calculate per capita carbon emission data. Carbon emission intensity is defined as the volume of carbon dioxide emissions generated per unit growth of gross national product. Carbon emission efficiency is calculated using the Super-SBM model. The club convergence index of per capita carbon emissions and efficiency is estimated based on the Markov chain framework, to analyze the importance of the per capita carbon emissions and efficiency principle in examining China's carbon emission reduction potential and the key focus when formulating carbon emission reduction policies. Furthermore, the carbon emission reduction potential of each province is recalculated from the perspective of coordinating per capita carbon emissions and efficiency, resulting in the aforementioned dataset of carbon emission reduction potential of China's 29 provinces. This dataset includes the following contents: (1) Capital stock data of China's 29 provinces from 1997 to 2015; (2) Real GDP of China's 29 provinces with 1952 as the base year from 1997 to 2015; (3) Per capita carbon emission data of China's 29 provinces from 1997 to 2015; (4) Carbon emission intensity data of China's 29 provinces from 1997 to 2015; (5) Carbon emission efficiency of China's 29 provinces (calculated via the Super-SBM model) from 1997 to 2015; (6) Energy consumption data of China's 29 provinces from 1997 to 2015; (7) Markov transition probability results of China's per capita carbon emissions and efficiency; (8) Club convergence index models of per capita carbon emissions and efficiency under different time lengths; (9) Test for differences in the degree of regional lock-in of per capita carbon emissions and efficiency; (10) Calculation of carbon emission reduction potential indices of each province in China from the perspective of coordinating per capita carbon emissions and efficiency. The dataset is stored in .xlsx format, consisting of a single file with a size of 134 KB. The analytical research findings based on this dataset were published in "Journal of Natural Resources", Volume 34, Issue 1, 2019.

搜集汇总

背景与挑战

背景概述

该数据集为中国29个省份1997-2015年的碳减排潜力研究数据，通过整合人均碳排放与效率指标，采用Super-SBM模型和马尔可夫链方法计算得出，包含资本存量、GDP、碳排放强度等10类核心数据表，数据量134KB。研究为低碳经济政策制定提供了省级尺度的量化依据。