<b>Assessing the feasibility of a nuclear-free green energy transition in Europe</b>

<b>Data S1. Country-year level dataset </b>The provided datasets consist of country-year level variables that were used in an event study Difference-in-Differences (DiD) analysis with heterogeneous treatment effects. The dataset format is in Stata software, and an example of the Stata command to execute the regression and obtain the results presented in Table S5, column 1, is provided below: <i>eventstudyinteract Perc_Renew_Elec g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Elec_Hous_Price_L1 Elec_Ind_Price_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1) absorb(encode_Country_ID Year) vce(cluster encode_Country_ID)</i><br><b>Data S2. Firm-year level carbon intensity dataset </b>The provided datasets consist of firm-year level variables that were used in an event study Difference-in-Differences (DiD) analysis with heterogeneous treatment effects. The dataset format is in Stata software, and an example of the Stata command to execute the regression and obtain the results presented in Table S6, column 5, is provided below: <i>eventstudyinteract Scope2 g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1 Size_L1 Ptbi_L1 Ptbi_Vol_L1 Leverage_L1 Firm_Age_LN_L1) absorb(gvkey encode_Industry_Year) vce(cluster gvkey)</i><br><b>Data S3. Firm-year level environmental performance dataset </b>The provided datasets consist of firm-year level variables that were used in an event study Difference-in-Differences (DiD) analysis with heterogeneous treatment effects. The dataset format is in Stata software, and an example of the Stata command to execute the regression and obtain the results presented in Table S6, column 7, is provided below: <i>eventstudyinteract EW_E g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1 Size_L1 Ptbi_L1 Ptbi_Vol_L1 Leverage_L1 Firm_Age_LN_L1) absorb(encode_isin encode_Industry_Year) vce(cluster encode_isin)</i><b>补充数据S1：国家-年度层面数据集</b> 本数据集包含用于带有异质性处理效应的事件研究双重差分（Difference-in-Differences, DiD）分析的国家-年度层面变量。该数据集采用Stata软件格式，下文提供了执行回归并获取表S5第1列结果的Stata命令示例：<i>eventstudyinteract Perc_Renew_Elec g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Elec_Hous_Price_L1 Elec_Ind_Price_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1) absorb(encode_Country_ID Year) vce(cluster encode_Country_ID)</i><br><b>补充数据S2：企业-年度层面碳强度数据集</b> 本数据集包含用于带有异质性处理效应的事件研究双重差分（DiD）分析的企业-年度层面变量。该数据集采用Stata软件格式，下文提供了执行回归并获取表S6第5列结果的Stata命令示例：<i>eventstudyinteract Scope2 g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1 Size_L1 Ptbi_L1 Ptbi_Vol_L1 Leverage_L1 Firm_Age_LN_L1) absorb(gvkey encode_Industry_Year) vce(cluster gvkey)</i><br><b>补充数据S3：企业-年度层面环境绩效数据集</b> 本数据集包含用于带有异质性处理效应的事件研究双重差分（DiD）分析的企业-年度层面变量。该数据集采用Stata软件格式，下文提供了执行回归并获取表S6第7列结果的Stata命令示例：<i>eventstudyinteract EW_E g_m4 g_m3 g_m2 g_0 g_1 g_2 g_3, cohort(Year_Event) control_cohort(never_treat) covariates(Share_Green_Seats Gdp_LN Gdp_Growth_Rate Energy_Consump_LN Elec_Consump_LN Perc_Nuclear_Elec_L1 Perc_Gas_Elec_L1 Perc_Oil_Elec_L1 Perc_Coal_Elec_L1 Perc_Hydro_Elec_L1 Perc_Solar_Elec_L1 Perc_Wind_Elec_L1 Household_Gas_Price_L1 Industrial_Gas_Price_L1 Gas_Import_L1 Elec_Capacity_Factor_L1 Size_L1 Ptbi_L1 Ptbi_Vol_L1 Leverage_L1 Firm_Age_LN_L1) absorb(encode_isin encode_Industry_Year) vce(cluster encode_isin)</i>

搜集汇总

背景与挑战

背景概述

该数据集聚焦于欧洲无核绿色能源转型的可行性评估，包含国家年度和企业年度两个层面的数据，主要用于事件研究差分法分析，以探究核能减少对可再生能源发展和碳排放的影响。数据集提供了详细的Stata分析命令示例，并涵盖能源、经济和环境变量，适用于生态经济学领域的实证研究。