Electoral system, corporate political donation, and carbon emission intensity: Cross‐country evidence

Muttakin, Mohammad Badrul; Mihret, Dessalegn Getie; Rana, Tarek

doi:10.1002/bse.2714

Cited by 12 publications

(12 citation statements)

References 65 publications

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“…The dependent variable in this study is total corporate GHG emissions calculated by aggregating Scope 1 and Scope 2 data (Bui et al, 2019; Choi & Luo, 2021; Griffin et al, 2017; Muttakin et al, 2021). Scope 1 represents direct GHG emissions which arise from sources that are owned or controlled by the reporting entity.…”

Section: Methodsmentioning

confidence: 99%

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Democracy, national culture and greenhouse gas emissions: An international study

2022

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This study examines whether a country's level of democracy is associated with greenhouse gas emission intensity of corporations and if national culture influences this association. Using cross‐country evidence, we find that firms operating in countries with strong democratic institutions are negatively associated with carbon emission intensity controlling for other country‐level variables. Democracy also moderates the positive effect of individualistic cultures on greenhouse gas emission intensity, whereas countries with high uncertainty avoidance and indulgence are associated with high emissions despite high democratic scores. That is, while the effects of democracy and culture on greenhouse gas emission intensity supplement each other, culture shapes a firm's strategy on environmental matters to a greater extent than democracy. The results are robust to alternative variable measurement.

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Section: Methodsmentioning

confidence: 99%

“…Scope 2 captures indirect GHG emissions resulting from the consumption of purchased energy, including electricity, heat, cooling or steam. We use the natural logarithm of the reported amount of GHG emissions as a proxy for carbon performance of a firm (Muttakin et al, 2021).…”

Section: Dependent Variablementioning

confidence: 99%

Democracy, national culture and greenhouse gas emissions: An international study

2022

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“…The measure of majoritarianism is constructed from the World Bank's widely used Database of Political Institutions. 14 Specifically, following (Muttakin et al, 2021), we define our measure maj = 1-Proportional representation +Plurality+Housesys, where:…”

Section: Methodsmentioning

confidence: 99%

How Do Right-Wing Populist Parties Influence Climate and Renewable Energy Policies? Evidence from OECD Countries

Lockwood¹,

Lockwood²

2022

Global Environmental Politics

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There is increasing evidence that right-wing populist parties (RWPPs) and their supporters are hostile to climate and low-carbon energy policies. In this article, we provide a quantitative analysis of the effects of RWPP representation in the legislature and executive on climate and renewable energy policy for a number of countries in the Organisation for Economic Co-operation and Development over the period 2007–2018. After controlling for other political, economic, and environmental factors, we find evidence for a significant and large negative effect of RWPPs in power on climate policy. Importantly, we also show that these negative effects vary with the proportionality of the electoral system and European Union membership. Both of these factors significantly moderate the negative influence of RWPPs. In countries with majoritarian electoral systems, the effects of RWPPs on climate policy work through both indirect legislative and direct executive routes. In contrast to climate policy, there is no overall significant relationship with renewable policy.

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“…Ibrahim (2018) took 62 middle-income countries as samples and found that international trade and financial development played an interactive and complementary role in reducing the carbon dioxide intensity of energy use. Muttakin et al (2020) studied the relationship between national election system and enterprise greenhouse gas emission intensity and discussed whether this relationship was affected by enterprise political donations. In terms of method, some scholars analyze the driving mechanism and impact of carbon emission intensity from the perspective of spatial effect by constructing a spatial Durbin model (Xiao et al , 2019; Xue et al , 2020; Muhammad et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model

Feng²,

Guo³

et al. 2022

IJCCSM

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Purpose China has proposed two-stage goals of carbon peaking by 2030 and carbon neutralization by 2060. The carbon emission reduction effect of the power industry, especially the thermal power industry, will directly affect the progress of the goal. This paper aims to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency of the thermal power industry and proposes policy suggestions for realizing China’s carbon peak and carbon neutralization goals. Design/methodology/approach This paper evaluates and compares the carbon emission efficiency of the thermal power industry in 29 provinces and regions in China from 2014 to 2019 based on the three-stage slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) model of undesired output, excluding the influence of environmental factors and random errors. Findings Empirical results show that during the sample period, the carbon emission efficiency of China’s thermal power industry shows a fluctuating upward trend, and the carbon emission efficiency varies greatly among the provincial regions. The carbon emission efficiency of the interregional thermal power industry presents a pattern of “eastern > central > western,” which is consistent with the level of regional economic development. Environmental factors such as economic level and environmental regulation level are conducive to the improvement of carbon emission efficiency of the thermal power industry, but the proportion of thermal power generation and industrial structure is the opposite. Originality/value This paper adopts the three-stage SBM–DEA model of undesired output and takes CO2 as the undesired output to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency in China’s thermal power industry. The results provide a more comprehensive perspective for regional comparative evaluation and influencing factors of carbon emission efficiency in China’s thermal power industry.

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Electoral system, corporate political donation, and carbon emission intensity: Cross‐country evidence

Cited by 12 publications

References 65 publications

Democracy, national culture and greenhouse gas emissions: An international study

Democracy, national culture and greenhouse gas emissions: An international study

How Do Right-Wing Populist Parties Influence Climate and Renewable Energy Policies? Evidence from OECD Countries

The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model

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