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Litao Liu

Biographic Data

ID4639329
NAMELitao Liu
GIVEN NAMESLitao
FAMILY NAMELiu
SIGNATURELIU L
AFFILIATIONSHenan Normal University
ORCID0009-0007-8162-7866
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Impact of ESG (environmental, social, and governance) performance expectation gap on corporations’ green technology innovation in China

    Open Access•Xi Zhang, Xiufeng Zhang et al.•ARTICLE•Humanities and Social Sciences…•2026

    In the context of green development and innovation-driven policies, the influence of environmental, social, and governance (ESG) factors on green technology innovation (GTI) has become a focal point of academic and policy discussions. This study develops an ESG performance expectation gap index to explore its impact on GTI systematically. Employing panel data from Chinese A-share listed enterprises spanning 2011 to 2024 and drawing on prospect th…

  • Empowering effect of big data policies on enterprise technological innovation: Evidence from China

    Open Access•Xiufeng Zhang, Litao Liu et al.•ARTICLE•Technology in Society•2026•References: 49

  • Carbon neutrality of China’s passenger car sector requires coordinated short-term behavioral changes and long-term technological solutions

    Open Access•Wu Chen, Xin Sun et al.•ARTICLE•One Earth•2022

  • Building stock dynamics and the impact of construction bubble and bust on employment in China

    Open Access•Qiance Liu, Litao Liu et al.•ARTICLE•Journal of Industrial Ecology•2021

    The rapid urbanization and building boom in China in the past decades provided not only massive residential and nonresidential floor space, but also millions of jobs especially for migrants from rural areas. However, such high‐speed growth of building stocks is not expected to continue forever and its dynamics, especially declining, may affect the job market of the construction sector and further China's social stability. Here, we extended a dyna…

  • Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application

    Open Access•Yanan Ren, Xiaojie Liu et al.•ARTICLE•Journal of Industrial Ecology•2018

    The resource productivity (RP) of crude oil is an important indicator to measure the utilization efficiency of a petroleum resource. In this article, we proposed a methodology to calculate the RP of crude oil from a complex network perspective. We constructed a chemical network comprising 578 chemicals and divided all chemicals into six hierarchical levels according to their processing steps. We put forward two indicators to represent two calcula…

  • A Probabilistic Dynamic Material Flow Analysis Model for Chinese Urban Housing Stock

    Open Access•Zhi Cao, Lei Shen et al.•ARTICLE•Journal of Industrial Ecology•2018

    The stock‐driven dynamic material flow analysis (MFA) model is one of the prevalent tools to investigate the evolution and related material metabolism of the building stock. There exists substantial uncertainty inherent to input parameters of the stock‐driven dynamic building stock MFA model, which has not been comprehensively evaluated yet. In this study, a probabilistic, stock‐driven dynamic MFA model is established and China's urban housing st…

No prominent works on this page.

  • Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application

    Open Access•Yanan Ren, Xiaojie Liu et al.•ARTICLE•Journal of Industrial Ecology•2018

    The resource productivity (RP) of crude oil is an important indicator to measure the utilization efficiency of a petroleum resource. In this article, we proposed a methodology to calculate the RP of crude oil from a complex network perspective. We constructed a chemical network comprising 578 chemicals and divided all chemicals into six hierarchical levels according to their processing steps. We put forward two indicators to represent two calcula…

  • A Probabilistic Dynamic Material Flow Analysis Model for Chinese Urban Housing Stock

    Open Access•Zhi Cao, Lei Shen et al.•ARTICLE•Journal of Industrial Ecology•2018

    The stock‐driven dynamic material flow analysis (MFA) model is one of the prevalent tools to investigate the evolution and related material metabolism of the building stock. There exists substantial uncertainty inherent to input parameters of the stock‐driven dynamic building stock MFA model, which has not been comprehensively evaluated yet. In this study, a probabilistic, stock‐driven dynamic MFA model is established and China's urban housing st…

  • Building stock dynamics and the impact of construction bubble and bust on employment in China

    Open Access•Qiance Liu, Litao Liu et al.•ARTICLE•Journal of Industrial Ecology•2021

    The rapid urbanization and building boom in China in the past decades provided not only massive residential and nonresidential floor space, but also millions of jobs especially for migrants from rural areas. However, such high‐speed growth of building stocks is not expected to continue forever and its dynamics, especially declining, may affect the job market of the construction sector and further China's social stability. Here, we extended a dyna…

  • Carbon neutrality of China’s passenger car sector requires coordinated short-term behavioral changes and long-term technological solutions

    Open Access•Wu Chen, Xin Sun et al.•ARTICLE•One Earth•2022

  • Impact of ESG (environmental, social, and governance) performance expectation gap on corporations’ green technology innovation in China

    Open Access•Xi Zhang, Xiufeng Zhang et al.•ARTICLE•Humanities and Social Sciences…•2026

    In the context of green development and innovation-driven policies, the influence of environmental, social, and governance (ESG) factors on green technology innovation (GTI) has become a focal point of academic and policy discussions. This study develops an ESG performance expectation gap index to explore its impact on GTI systematically. Employing panel data from Chinese A-share listed enterprises spanning 2011 to 2024 and drawing on prospect th…

  • Empowering effect of big data policies on enterprise technological innovation: Evidence from China

    Open Access•Xiufeng Zhang, Litao Liu et al.•ARTICLE•Technology in Society•2026•References: 49

China (4 works) · Economics (4 works) · Environmental Science (4 works) · Business (3 works) · Engineering (2 works) · Environmental Impact and Sustainability (2 works) · Geography (2 works) · Archaeology (1 works) · Big data (1 works) · Big Data and Business Intelligence (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae