Importance of neighbors in rural households’ conversion to cleaner cooking fuels: The impact and mechanisms of peer effects

Gu, Jiafeng

doi:10.1016/j.jclepro.2022.134776

Cited by 14 publications

(17 citation statements)

References 62 publications

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“…According to this methodology, first, a regression is performed to examine the effect of the independent variable on the dependent variable; second, the effect of the independent variable on the mediating variable is tested; and third, the effects of the independent and mediating variables on the dependent variable are tested in a single model. Moreover, because the dependent variable may have spatial autocorrelation, the spatially lagged value of the dependent variable is introduced into the model as an independent variable (Gu, 2022b). Correspondingly, the models in our study proposed to test the hypotheses when the institutional shareholding ratio is the mediating variable following Baron and Kenny's (1986) three steps as follows (Test A):…”

Section: Methods Of Analysismentioning

confidence: 99%

Firm Performance and Corporate Social Responsibility: Spatial Context and Effect Mechanism

2023

Sage Open

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This study investigates the effect of firm performance on corporate social responsibility (CSR) in a specific spatial context. The results for a sample of 1,557 listed companies in China suggest that a firm’s CSR performance level is influenced by that of nearby firms. This study also confirms the indirect link between financial and CSR performance through the mediating role of institutional and executive shareholding rates. In addition, the empirical evidence in this study not only supports the spatial context-sensitive thesis but, more importantly, proposes a spatiotemporal context-sensitive thesis. It provides strong empirical support for the true relative value of the spatiotemporal context affecting CSR performance, which yields important theoretical, methodological, and policy implications.

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Section: Methods Of Analysismentioning

confidence: 99%

Firm Performance and Corporate Social Responsibility: Spatial Context and Effect Mechanism

2023

Sage Open

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“…When testing for mediating variables through spatial autoregressive models, some modifications to the traditional conventional method of testing for mediating variables proposed by Baron and Kenny (1986) are required. According to Gu (2022b), the test of mediating variables can be implemented by adding the following two formulas to Equation (2):…”

Section: Methodsmentioning

confidence: 99%

“…However, studies based on traditional peer group definitions have explored exogenous peer effects (Im et al, 2021; Leary & Roberts, 2014), which are vulnerable to endogenous problems. To overcome this endogeneity problem, it is necessary to focus on endogenous peer effects (Fambeu & Mbondo, 2022), which are mainly studied by establishing a spatial weight matrix and regressing it through a spatial autocorrelation model (Gu, 2022b; Zheng & Ye, 2023). This process includes two steps.…”

Section: Data Variables and Methodsmentioning

confidence: 99%

“…According to the distinction between endogenous and exogenous peer effects of Ajilore et al (2014), this study introduces the spatial lag term of the dependent variable in Formula (2), and therefore, the endogenous peer effect is explored. According to the research of Gu (2022b) and Bergtold et al (2019), this approach can effectively alleviate reverse causality and endogeneity.…”

Section: Methodsmentioning

confidence: 99%

M_{ij} goodbreak= normalα goodbreak+ normalρ W goodbreak\times Y_{ij} goodbreak+ normalβ goodbreak\times X_{ij} goodbreak+ θ_{r} goodbreak+ δ_{j} goodbreak+ ε_{ij},

Y_{ij} goodbreak= normalα goodbreak+ normalρ W goodbreak\times Y_{ij} goodbreak+ goodbreak+ b M_{irj} goodbreak+ normalβ goodbreak\times X_{ij} goodbreak+ θ_{r} goodbreak+ δ_{j} goodbreak+ ε_{ij},

where

M_{ij}

is Market power . If ρ in formulas (2), (3), and (4) are all significant, and

b

in formula (4) is significant, Market power is a mediator.…”

Section: Methodsmentioning

confidence: 99%

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Peer influence, market power, and enterprises' green innovation: Evidence from Chinese listed firms

2023

Corp Soc Responsibility Env

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In the era of a green economy, green innovation has become a way for enterprises to gain competitive advantage, and it is of great theoretical and practical significance to explore the driving force of enterprises' green innovation. This study explores the peer effect of an enterprise's green innovation and conducts an empirical test using data from 3338 Chinese listed companies in 2020. The results show a significant positive peer effect of enterprises' green innovation, and the green innovation of individual enterprises increases by 0.869 for each unit increase in industry‐average green innovation. Further research shows that market power is the channel by which peer influence affects an enterprise's green innovation. Moreover, regional heterogeneity exists in the strength of the peer effect, which varies according to firm maturity and board size. These findings provide a reference for enterprises and governments to promote green transformation.

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Digital economy, peer influence, and persistent green innovation of firms: a mixed embeddedness perspective

2024

Environ Sci Pollut Res

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Importance of neighbors in rural households’ conversion to cleaner cooking fuels: The impact and mechanisms of peer effects

Cited by 14 publications

References 62 publications

Firm Performance and Corporate Social Responsibility: Spatial Context and Effect Mechanism

Firm Performance and Corporate Social Responsibility: Spatial Context and Effect Mechanism

Peer influence, market power, and enterprises' green innovation: Evidence from Chinese listed firms

Digital economy, peer influence, and persistent green innovation of firms: a mixed embeddedness perspective

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