Heterogeneity in the Effect of Environmental Protection Expenditure in China: Causal Inference from Machine Learning

Hu, Zunguo; Deng, Lijie; Murai, Jun; Xie, Jiahao

doi:10.1080/1540496x.2022.2113331

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…This study employs the causal forest algorithm by 'planting' causal trees with data from 1510 listed companies, where the splitting process involves 15 company features (covariates x). Specifically, referring to the approach of Hu Zunguo et al [44], this study obtains causal trees, final partition L "leaves", and estimates of conditional average treatment effects (CATEs) for the sample. The causal forest algorithm processes the covariate space formed by the 15 features of listed companies and calculates weights α i (x).…”

Section: Algorithm Modelmentioning

confidence: 99%

Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models

Huang,

Wang,

Chen

et al. 2024

Sustainability

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As increasingly stringent environmental regulations are put into effect, Environmental, Social, and Governance (ESG) concepts are being seamlessly integrated into the core of corporate innovation strategies. Due to the quasi-public product perspective of green innovation, the performance of enterprises as a result of green innovation activities exhibits significant heterogeneity. This heterogeneity exists not only between corporate value and financial performance but also among individual enterprises. This paper is based on a sample of 1510 listed Chinese companies examined from 2013 to 2020 and uses machine learning algorithms and quasi-natural experiments to precisely estimate the causal relationship and mechanisms between green innovation and corporate performance. The findings elucidate several critical aspects of green innovation within the corporate sphere: Firstly, rather than attracting green incentives from financial markets, green innovation activities inadvertently stifle the enhancement of corporate value. Secondly, these activities markedly bolster corporate financial performance, primarily by diminishing operational costs, which in turn elevates the return on assets (ROA). Lastly, of all corporate characteristics examined, enterprise size and equity concentration stand out as key determinants influencing the variability in outcomes of green innovation performance. The above findings provide information on the significant implications of enhancing green technology innovation systems and green incentive mechanisms.

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Section: Algorithm Modelmentioning

confidence: 99%

Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models

Huang,

Wang,

Chen

et al. 2024

Sustainability

Self Cite

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show abstract

“…First, in addition to adapting to macro-economic policies, enterprise managers should focus on three important economic indicators: per capita GDP, the fiscal revenue/ expenditure ratio, and average wage levels (Hu et al, 2022). The quality of the economic environment in which an enterprise operates significantly influences the systemic risks that the enterprise may face, impacting production and business activities, as well as the employees' work environment (S. X.…”

Section: Practical Implicationsmentioning

confidence: 99%

Explaining Enterprise Litigation Success with fsQCA: The Role of Local Economic Environment, Policy Preferences, Case Complexity, and Party Capability

Zhang,

Yu,

et al. 2024

Sage Open

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Since the initiation of reforms and the opening-up policy in China, enterprises have played a pivotal role as a key pillar of local economic growth. Within the context of harmonious labor relations, the effective means of assisting enterprises in safeguarding their particular interests during labor disputes remains unresolved. Fuzzy-set qualitative comparative analysis (fsQCA) is able to capture a higher degree of complexity by testing theory-based conditions and environmental effects rather than focusing on a single effect of a single variable. Therefore, coming from a new institutionalist perspective, this study employed fsQCA to explore the causal relationships among factors including local economic environment, policy preferences, case complexity, party capability, and enterprise litigation success. Analyzing data from 28,685 labor dispute cases from Guangdong Province between 2015 and 2019, and utilizing enterprise data from the China Economic Information Network and the National Enterprise Credit Information Publicity System, we found that: (1) it is difficult for enterprises to succeed substantially in a single-antecedent condition; (2) There are four pathways to forming high enterprise victory, each involving different configurations of eight conditions; and (3) Judicial preference, employee legal representative, and enterprise legal representative are central elements in all aforementioned pathways, even if they are not necessary conditions for the success of high enterprises. The research results enrich our understanding of the current style of institutionalism, providing a valuable reference point for effectively improving the legal success of enterprises and improving the harmonious development of labor relations, with far-reaching implications for the further study of the judicial protection of enterprise rights under the socialist system.

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Effectiveness of environmental protection expenditures and resource tax policy in the Netherland's load capacity factor: Do government effectiveness and renewable energy matter? Evidence from Fourier augmented ARDL

Bozatli,

Akca

2024

Resources Policy

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Heterogeneity in the Effect of Environmental Protection Expenditure in China: Causal Inference from Machine Learning

Cited by 5 publications

References 30 publications

Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models

Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models

Explaining Enterprise Litigation Success with fsQCA: The Role of Local Economic Environment, Policy Preferences, Case Complexity, and Party Capability

Effectiveness of environmental protection expenditures and resource tax policy in the Netherland's load capacity factor: Do government effectiveness and renewable energy matter? Evidence from Fourier augmented ARDL

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