The carbon dioxide emissions of firms: A spatial analysis

Cole, Matthew A.; Elliott, Robert J.R.; Okubo, Toshihiro; Zhou, Ying

doi:10.1016/j.jeem.2012.07.002

Cited by 166 publications

(97 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cirilli (2014), on the basis of the spatial analysis of Italian samples, proved the spatial correlation of city development and carbon emissions [25]. At the micro level, Cole (2013) found that Japanese companies were affected by adjacent enterprise carbon emissions, reflecting the spatial correlation [26].…”

Section: Literature Review and Hypothesismentioning

confidence: 93%

GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

Hong

Tang

et al. 2016

Sustainability

View full text Add to dashboard Cite

Abstract:To gain a greater understanding of the spatial spillover effect of greenhouse gas emissions and their influencing factors, this paper provides a spatial analysis of four gas pollutants (CO 2 emissions, SO 2 emissions, NO x emissions, and dust emissions). Focusing on China, the paper also explores whether the four gas pollutants are influenced by the emissions of neighboring regions and other possible sources. The paper uses a global spatial autocorrelation analysis, local spatial association analysis and spatial lag model for empirical work. The results suggest that CO 2 , SO 2 , and NO x emissions show significant positive results for both the spatial correlation and space cluster effect in provincial space distribution.CO 2 and NO x emissions have a significant positive spillover effect, while the SO 2 emissions' spatial spillover effect is positive but not significant. Economic growth and urbanization are the key determinants of CO 2 , dust, and NO x emissions, while energy efficiency and industrialization do not appear to play a role. This raises questions about the method of examining the spatial relationship between gas pollution, economic growth and urbanization in the future.

show abstract

Section: Literature Review and Hypothesismentioning

confidence: 93%

GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

Hong

Tang

et al. 2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…Although relatively limited in number, several previous studies have suggested there is a link between local industrial agglomeration and environmental performance (Cole et al 2013;Costantini et al 2013;Picazo-Tadeo and García-Reche 2007;Verhoef and Nijkamp 2008). We extend this line of enquiry by linking two strands of literature on the environmental impact of FDI and industrial agglomeration.…”

Section: Introductionmentioning

confidence: 69%

“…For example, Cole et al (2013) find a spatial correlation of carbon emissions by Japanese firms, thus indirectly indicating the possible cause of regional industry agglomeration. Based on numerical simulation, Kyriakopoulou and Xepapadeas (2013) conclude that spatially differentiated environmental policies and industrial pollution act as centrifugal forces to industry agglomeration which results from the regional natural cost advantages and knowledge spillovers.…”

Section: Regional Dimension Of Fdi Environmental Knowledge Externalitmentioning

confidence: 97%

Does FDI Bring Environmental Knowledge Spillovers to Developing Countries? The Role of the Local Industrial Structure

Ning

Wang

2017

Environ Resource Econ

View full text Add to dashboard Cite

This paper examines the environmental knowledge externalities of FDI within and across cities in an emerging economy context. It argues that the extent of these environmental externalities is contingent upon local industrial agglomeration. Using a panel dataset of 280 Chinese prefectural cities from 2003 to 2012, we employ a spatial economic approach. Although limited to evidence from soot and SO 2 pollutants, our results suggest that FDI brings overall positive environmental knowledge externalities to a region, and also spillovers to nearby regions. Specialised cities may lock into a particular technological path, attenuating the absorption and diffusion of a variety of FDI environmental knowledge. Conversely, diversified cities promote cross-fertilisation of environmental knowledge and mitigate local pollution intensity at the aggregated city level. This study adds to the literature by highlighting the importance of considering both the spatiality of FDI and industrial structure in understanding FDI environmental knowledge spillovers.

show abstract

“…Some researchers use energy intensity or time as a proxy for environmental technology progress [19,30]. Some studies use generic R&D expenditure without specifying the technological domain, presuming that generic innovations would often result in greater efficiency of resource and hence less CO 2 emissions per unit of output [9,31]. Such a hypothesis is intuitive but may ignore the heterogeneity within the broad technological domain.…”

Section: Measurements and Decompositions Of Low-carbon Innovationmentioning

confidence: 99%

“…Such a hypothesis is intuitive but may ignore the heterogeneity within the broad technological domain. Thus, the resultant roles of innovation appear inconsistent when empirical tests are done based on different samples [14,21,31].…”

Section: Measurements and Decompositions Of Low-carbon Innovationmentioning

confidence: 99%

Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO2 Emissions

Yan

et al. 2017

Sustainability

View full text Add to dashboard Cite

This paper aims to investigate the impact of low-carbon innovation on CO 2 emissions. Using patent statistics, we measured low-carbon innovations for 15 major economies during the period of 1992-2012. Then, we classified low-carbon technology into clean and gray technology according to the patent classification system. Following the empirical Environmental Kuznets Curve (EKC) framework, we explored the effects of low-carbon innovation and its components on CO 2 emissions. We did not find any evidence of significant influence of low-carbon innovation. Through further estimations, a significantly negative effect of clean innovation was found while the effect of gray innovation is not clear. Heterogeneous impacts within low-carbon technology provide an explanation for the insignificant impact of low-carbon innovation.

show abstract

The carbon dioxide emissions of firms: A spatial analysis

Cited by 166 publications

References 31 publications

GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

Does FDI Bring Environmental Knowledge Spillovers to Developing Countries? The Role of the Local Industrial Structure

Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO2 Emissions

Contact Info

Product

Resources

About