How Does Technological Progress Affect Provincial Financial Resilience? Evidence at the provincial level in China

1. The research area in this paper is 30 inland provinces in China from 2011-2021, the Tibet Autonomous Region is excluded due to incompleteness of data. Our data are derived from the China Statistical Yearbook, Provincial Statistics Yearbook, Financial Statistics Yearbook, Wind Database, Guotai’an Database, the People’s Bank of China, the China Banking Regulatory Commission and provincial commercial banks. Missing values are calculated using the weighted moving average method. 2. The entire file package includes two types of file: dta file and do file 3. Variable name and Description： FR indicates financial resilience gtfp indicates technological progress fdizb indicates the ratio of foreign direct investment to GDP wealfare indicates the ratio of social security expenditures to GDP er indicates employment rate humancapital indicates human capital level edu indicates education level education indicates social capital pop indicates population consume indicates social consumption capacity interlab indicates employment proportion in the tertiary sector ter indicates industrial structure improvement market indicates marketization index Bakerpolicy2 indicates Chinese economic policy uncertainty patenten indicates the number of valid invention patents for industrial enterprises above designated size techmarket indicates technology market development level actualfdizb indicates share of real foreign direct investment in GDP pd indicates indicates population density db indicates year-end deposits balances of provincial commercial banks lb indicates year-end loan balances of provincial commercial banks B indicates asset liquidity ge indicates government intervention 4. We use Stata software for specific regression analysis. After opening the dta file in the Stata interface, we obtain the results by running the regression command of the do file.

1. 本研究的研究区域为2011-2021年中国30个内陆省份，因数据完整性不足剔除西藏自治区。研究数据来源于《中国统计年鉴》（China Statistical Yearbook）、《各省统计年鉴》（Provincial Statistics Yearbook）、《金融统计年鉴》（Financial Statistics Yearbook）、万得数据库（Wind Database）、国泰安数据库（Guotai’an Database）、中国人民银行（the People’s Bank of China）、中国银行保险监督管理委员会（the China Banking Regulatory Commission）及各省地方商业银行。缺失值采用加权移动平均法进行补全。
2. 完整文件包包含两类文件：dta文件与do文件。
3. 变量名称及说明如下：FR：金融韧性（financial resilience）；gtfp：技术进步（technological progress）；fdizb：外商直接投资占GDP比重（ratio of foreign direct investment to GDP）；wealfare：社会保障支出占GDP比重（ratio of social security expenditures to GDP）；er：就业率（employment rate）；humancapital：人力资本水平（human capital level）；edu：教育水平（education level）；education：社会资本（social capital）；pop：人口总量（population）；consume：社会消费能力（social consumption capacity）；interlab：第三产业就业人员占比（employment proportion in the tertiary sector）；ter：产业结构优化升级（industrial structure improvement）；market：市场化指数（marketization index）；Bakerpolicy2：中国经济政策不确定性（Chinese economic policy uncertainty）；patenten：规模以上工业企业有效发明专利数量（number of valid invention patents for industrial enterprises above designated size）；techmarket：技术市场发展水平（technology market development level）；actualfdizb：实际外商直接投资占GDP比重（share of real foreign direct investment in GDP）；pd：人口密度（population density）；db：省级商业银行年末存款余额（year-end deposits balances of provincial commercial banks）；lb：省级商业银行年末贷款余额（year-end loan balances of provincial commercial banks）；B：资产流动性（asset liquidity）；ge：政府干预（government intervention）。
4. 本研究采用Stata软件开展具体的回归分析。在Stata界面中打开dta文件后，通过运行do文件中的回归命令即可得到分析结果。

搜集汇总

背景与挑战

背景概述

该数据集涵盖中国30个内陆省份2011-2021年的数据，研究技术进步对金融韧性的影响，包含金融、经济和社会等多维度指标，适用于Stata软件进行回归分析。