<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Economic Impacts of ESG Metrics on Energy Efficiency in Chinese Industries</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/VTEO24</dcterms:identifier><dcterms:creator>David, Lemuel</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2023-12-30</dcterms:issued><dcterms:modified>2023-12-30T20:54:37Z</dcterms:modified><dcterms:description>These data were uuse to examines the economic impacts of Environmental, Social, and Governance (ESG) metrics on energy efficiency within Chinese industries from 2006 to 2020.  we conducted an econometric analysis to explore the relationship between ESG practices and energy efficiency across various sectors and regions.</dcterms:description><dcterms:subject>Business and Management</dcterms:subject><dcterms:subject>Social Sciences</dcterms:subject><dcterms:subject>Other</dcterms:subject><dcterms:subject>Economic, modelling, machine learning, energy</dcterms:subject><dcterms:date>2023-12-30</dcterms:date><dcterms:contributor>David, Lemuel</dcterms:contributor><dcterms:dateSubmitted>2023-12-30</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>