The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables

Perobelli, Fernando Salgueiro; Faria, Weslem Rodrigues; Vale, Vinícius de Almeida

doi:10.1016/j.eneco.2015.10.007

Cited by 66 publications

(40 citation statements)

References 38 publications

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“…In the economic factors, household per capita income has positive impacts on HCEs. This result is consistent to the conclusions of most scholars such as Zha et al [1], Golley and Meng [34] and Perobelli et al [3]. We further analyze the effects of income expectation and square of income and the result is shown in Table A5 in Appendix A.…”

Section: Empirical Results and Analysissupporting

confidence: 80%

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Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China

Han

2017

Sustainability

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This paper surveys the diverse effects of consumer credit on household carbon emissions (HCEs) based on consumption patterns revealed by urban Chinese survey data. Based on the foundation of existing literature, consumption patterns and influential factors are carefully chosen to build empirical models that apply Heteroscedasticity-consistent covariance matrix estimation and quantile regression. The study finds that short-term consumer credit and credit card limits (representing daily consumption) have effects on HCEs at all quantiles, but mortgages (representing long-term consumer credit) only have effects at high quantiles. Consumption categories have distinct effects on HCEs at different quantiles. The effects of mortgages on HCEs occur mainly through the consumption of housing and facilities as well as through the consumption of medical care and transportation, while the effects of short-term consumer credit and credit card limits on HCEs occur through almost all consumption categories. These findings contribute to knowledge of the determinants of HCEs and provide a theoretical basis for consumer financial mechanisms to cut HCEs.

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Section: Empirical Results and Analysissupporting

confidence: 80%

“…Scholars, such as Zha et al [1], Han et al [2] and Perobelli et al [3], have shown that household economic and demographic characteristics have impacts on HCEs. These characteristics are household income, size, location, age, employment, etc., among which income is found to be the key factor.…”

Section: Introductionmentioning

confidence: 99%

Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China

Han

2017

Sustainability

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“…Despite the growing significance of consumption to CO 2 reduction, the relationship between detailed final demand categories and CO 2 is not a main concern at the city level (Tian et al, 2013;Wang et al, 2013b). Given the emphasis on the relationship between the country-level demand drivers and CO 2 emissions, relevant researches are conducted not only in each final demand category, such as trade (Dong et al, 2010), household consumption (Perobelli et al, 2015), government consumption (Zhang et al, 2017) and capital formation (Talukdar and Meisner, 2001), but also in all demand drivers like (Cansino et al, 2016;Kucukvar et al, 2014). Correspondingly, the involved methods fall into three categories: (1) econometrics models (Talukdar and Meisner, 2001;Zhang et al, 2017); (2) input-output methods (Kucukvar et al, 2014); and (3) input-output model joint with decomposition analysis (Cansino et al, 2016;Dong et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

CO2 emissions in Beijing: Sectoral linkages and demand drivers

Liao

Andrade

Lumbreras

et al. 2017

Journal of Cleaner Production

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Cities contribute to most of the CO 2 emissions. And the economic system at city level is much complex due to various linkaged sectors. This paper aims to analyze the economy-wide contribution of sectors and households to CO 2 emissions in Beijing (China) by utilizing a semi-closed input-output model integrated with a modified hypothetical extraction method. Results show that, compared with 2005, in 2012 (1) interprovincial export caused the largest amount of CO 2 emissions [135.5 Mt] with the main contributions arising from manufacturing (42.1 Mt); transportation, storage, and post (TSP in short, 29.1 Mt); and households (23.6 Mt); (2) across the intermediate input-output system, real estate activities accounted for the largest amount of embodied CO 2 intensity (0.07 kg per yuan) and more sectors outsourced CO 2 ; (3) tracing the integrated sector network, CO 2 linkages pointed to manufacturing and TSP dominating the internal linkages, manufacturing prominent in mixed linkages, secondary industry leading the net forward linkages, and tertiary industry dominant in terms of net backward linkages, helping control CO 2 according to its origin; (4) CO 2 emissions induced by household strikingly affected total CO 2 emissions in Beijing, mainly coming from income-oriented affects, with a large rural-urban disparity and a similar sectoral distribution pattern. Finally, we propose suggestions on carbon reduction in terms of technological interlinkages, final demand and household participation.

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“…Additionally, more attention should be poured into the distinction between international import and interprovincial import if more improvements for CO 2 emission inventories of Beijing city are in great need. What's more, regarding the role of households played in CO 2 emissions, the endogenous effects of the household income-expenditure relationship on CO 2 emissions could be studied more comprehensively in light of income distribution and associated rural-urban disparity, as well as household consumption patterns, because related studies are rare and confined to the country level (Perobelli et al, 2015). IJCCSM 9,6…”

Section: Future Studiesmentioning

confidence: 99%

Key sectors in carbon footprint responsibility at the city level: a case study of Beijing

Tian

Lumbreras

Andrade

et al. 2017

IJCCSM

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Purpose This paper aims to identify key sectors in carbon footprint responsibility, an introduced concept depicting CO2 responsibilities allocated through the supply chain containing sectoral activities and interactions. In detail, various key sectors could be identified according to comparative advantages in trade, sectoral linkage and sectoral synergy within the supply chain. Design/methodology/approach A semi-closed input–output model is used to make the household income–expenditure relationship endogenous through the supply chain where sectoral CO2 emissions are calculated, and the production-based responsibility (PR) principle is evaluated. Thus, according to “carbon footprint responsibility”, modified hypothetical extraction method is applied to decompose sectoral CO2 in terms of comparative advantages in trade, sectoral linkage and synergy. Finally, key sectors are identified via sectoral shares and associated decompositions in carbon footprint responsibility. Findings Compared to 2005, in 2012, the PR principle failed to track sectoral CO2 flow, and embodied CO2 in import and interprovincial export increased, with manufacturing contributing the most; manufacturing should take more carbon responsibilities in the internal linkage, and tertiary sectors in the net forward and backward linkage, with sectors enjoying low carbonization in the mixed linkage; inward net CO2 flows of manufacturing and service sectors were more complicated than their outward ones in terms of involved sectors and economic drivers; and residential effects on CO2 emissions of traditional sectors increased, urban effects remained larger than rural ones and manufacturing and tertiary sectors received the largest residential effects. Originality/value The value of this paper is as follows: the household income–expenditure relationship got endogenous in intermediate supply and demand, corresponding to the rapid urbanization in megacities; key sectors were observed to change flexibly according to real sectoral activities and interaction; and the evaluation of the PR principle was completed ahead of using a certain CO2 accounting principle at the city level.

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The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables

Cited by 66 publications

References 38 publications

Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China

Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China

CO2 emissions in Beijing: Sectoral linkages and demand drivers

Key sectors in carbon footprint responsibility at the city level: a case study of Beijing

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