Research on the policy synergy of supply-side and demand-side environmental policies: an analysis based on green value chain of manufacturing enterprises

Ye, Chunmei; Wu, Lihua

doi:10.1007/s11356-022-19225-8

Cited by 8 publications

(6 citation statements)

References 26 publications

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“…Columns (1), (2), and (3) in Table 3 report the results of the core test of "DT intensity-T level". The univariate test results in column (1) show that the regression coefficients of the DT intensity (DT) and GT level (GTFP) are significantly positive at the 1% level, which is consistent with the expected hypothesis. The gradual inclusion of industry and time-fixed effects and the set of control variables in columns ( 2) and (3) reveal that the coefficients of DT intensity are reduced to 0.021 and 0.019, respectively, probably due to the set of control variables and certain inherent attributes of firms absorbing some of the factors affecting the GT of firms.…”

Section: Baseline Regression Resultssupporting

confidence: 80%

“…Configuration 2 shows that DT better empowers GT in SOEs with higher executive education backgrounds. In addition, in terms of the industry and region, these two configurations are mainly generated in manufacturing enterprises in eastern regions such as Shanghai and Jiangsu, and concentrated in heavily polluting industries such as chemical and metallurgical industries 1 and high technology industries such as pharmaceuticals and computers 2 . Combining the two groupings, SOEs have access to digital resources from the government in addition to market data due to their special status [7].…”

Section: High Level Of Gt Configurationmentioning

confidence: 99%

“…The manufacturing industry is the pillar and engine of China's economic development, but it is also the main area of energy consumption, environmental pollution, and carbon emission. Green transformation (GT) involves the "greening" of the whole cycle so that manufacturing enterprises can be resource-saving and environment-friendly; focus on resource conservation, emission reduction, and efficiency improvement; and pursue the harmonization of environmental and economic benefits [1], which has been listed as an important national policy in China and is also a hot issue for scholars. However, the transformation faces multiple challenges such as institutional and institutional barriers, awareness barriers, technological barriers, and resource barriers leading to the lack of motivation and slow process of enterprises [2], and the manufacturing industry urgently needs to break the dilemma and usher in a new life.…”

Section: Introductionmentioning

confidence: 99%

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Can Digital Transformation Drive Green Transformation in Manufacturing Companies?—Based on Socio-Technical Systems Theory Perspective

et al. 2023

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The current world’s green economy and digital economy collide at an accelerated pace, and the deep integration of digitalization and greening has become a new requirement for high-quality industrial transformation. Premised on a socio-technical system (STS)’s theoretical viewpoint from Chinese manufacturing firms, the study examines the effects of the digital transformation (DT) of companies on green transformation (GT), as well as the function of channels and processes. This study uses 70 samples of A-share-listed Chinese manufacturing companies from 2013 to 2020; a combination of linear regression and fsQCA is used to empirically test the research model and analyze the equivalence path. It is found that (1) DT significantly drives the GT of manufacturing firms; (2) DT influences the GT of manufacturing firms by alleviating the information asymmetry problem; and (3) executive team heterogeneity plays a positive mechanism role in the relationship between DT and GT. The qualitative comparative analysis yields two types of paths: (1) the main constructs that shape high GT levels are high DT intensity, low information asymmetry, and high TMT gender heterogeneity, which mainly arise in the eastern region and play a more pronounced role in state-owned enterprises, heavy pollution, and high-tech industries; (2) for non-state-owned enterprises in traditional industries in the central and western regions with average digital development, high TMT gender heterogeneity is the key to GT. The study expands the application of related theories and has practical implications for how Chinese manufacturing enterprises can effectively promote GT.

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Section: Baseline Regression Resultssupporting

confidence: 80%

Section: High Level Of Gt Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Can Digital Transformation Drive Green Transformation in Manufacturing Companies?—Based on Socio-Technical Systems Theory Perspective

et al. 2023

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“…The degree of close interdepartmental collaboration, the consistency of policy themes across all levels of government, and the degree of thematic change over time was considered. Ye and Wu (2022) also used a content analysis approach to analyze the synergy between demandside and supply-side policy instruments at different stages of the green value chain. Similar studies using content analysis methods to explore policy synergy from the perspectives of objectives, processes, and states are emerging (Hills et al, 2021).…”

Section: Research On Policy Synergymentioning

confidence: 99%

“…This study uses the social network analysis method to analyze the degree of policy department synergy. Social network analysis is a commonly used research method for the construction and analysis of interdepartmental collaboration networks (Liu and Wang, 2022;Ye and Wu, 2022). First, we extract the policy promulgator from the policy text by constructing regular expressions, count the frequency of pairwise collaboration among policymakers and implementers, and construct the co-occurrence matrix of the subject department.…”

Section: Quantitative Criteria Of Department Synergy Evaluationmentioning

confidence: 99%

Evaluation of policy synergy in coastal ocean pollution prevention and control: The case from China

Yao

Sun²,

Liu³

2023

Front. Mar. Sci.

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In recent years, the Chinese central government and coastal provincial governments have promulgated a series of Coastal Ocean Pollution Prevention and Control Programs (COPPCP). Whether the government’s COPPCP can achieve policy synergy will affect the level of marine pollution governance. This study constructs a two-dimensional assessment framework of policy “subject department”–”content theme” and conducts a comprehensive evolution of policy synergy from objective, process, and state perspectives. From the subject department dimension, the study used social network analysis to find that interdepartmental collaboration was not done well overall. The policy synergy process is difficult to be guaranteed. Meanwhile, the structure of departmental synergy networks in different provinces shows differences and can be divided into three types of governments with single-core, multi-core, and vertical synergy. In the content synergy dimension, it was found by the Chinese Bidirectional Encoder Representations from Transformers-Whole Word Masking (BERT-WWM) model that the policy content is mainly focused on four themes of marine ecological protection (MEP), marine pollution control (MPC), land-based pollution reduction (LPR), and safeguard measures (SAM). The three types of governments show different performances on the four theme synergies. The governments perform well in the objective synergy; however, it is difficult for them to agree on the policy tool synergy, and the status of policy synergy is difficult to maintain. This paper adopts the BERT-WWM model instead of the manual coding method in the previous policy content analysis, enhancing the evaluation’s objectivity. The study results will provide a reference for further improving marine pollution governance systems in developing countries.

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Green supply chain decision-making and coordination considering consumer's environmental mindset and fairness concerns in the context of sustainable development

Cao,

Hu,

Wen

et al. 2023

Environ Dev Sustain

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Research on the policy synergy of supply-side and demand-side environmental policies: an analysis based on green value chain of manufacturing enterprises

Cited by 8 publications

References 26 publications

Can Digital Transformation Drive Green Transformation in Manufacturing Companies?—Based on Socio-Technical Systems Theory Perspective

Can Digital Transformation Drive Green Transformation in Manufacturing Companies?—Based on Socio-Technical Systems Theory Perspective

Evaluation of policy synergy in coastal ocean pollution prevention and control: The case from China

Green supply chain decision-making and coordination considering consumer's environmental mindset and fairness concerns in the context of sustainable development

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