Research Article
Digital Transformation and Enterprise Green Total Factor Productivity—Empirical Evidence Based on Text Analysis Methods
@INPROCEEDINGS{10.4108/eai.24-5-2024.2350103, author={Jie Deng}, title={Digital Transformation and Enterprise Green Total Factor Productivity---Empirical Evidence Based on Text Analysis Methods}, proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China}, publisher={EAI}, proceedings_a={MSEA}, year={2024}, month={10}, keywords={manufacturing companies; digital transformation; green total factor productivity; esg performance}, doi={10.4108/eai.24-5-2024.2350103} }- Jie Deng
Year: 2024
Digital Transformation and Enterprise Green Total Factor Productivity—Empirical Evidence Based on Text Analysis Methods
MSEA
EAI
DOI: 10.4108/eai.24-5-2024.2350103
Abstract
This study utilizes the Malmquist-Luenberger (ML) index to evaluate the Green Total Factor Productivity (GTFP) of manufacturing firms. The assessment is conducted on a data set encompassing Chinese manufacturing enterprises from the years 2011 to 2020. Additionally, the study employs a Python crawler for gauging the extent of digi-tal transformation within these firms. The objective is to investigate and quantify the influence of digital transformation on the GTFP of manufacturing enterprises. Find-ings:(1) The results of the econometric model show that digital transformation can ef-fectively enhance GTFP of manufacturing enterprises; (2)The extent to which digital transformation bolsters GTFP of manufacturing enterprises is influenced by the com-panies' ESG performance. Specifically, it is observed that higher ESG performance correlates with a more pronounced enhancement effect of digital transformation on the GTFP of these firms.