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

Abstract

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.

Research on energy consumption in household sector: a comprehensive review based on bibliometric analysis

“…Quantifying household indirect and direct energy consumption-demand relationships using IOA is a particularly widely studied topic (Supasa et al, 2017;Singh et al, 2018;Long et al, 2019). In addition, input-output models have established an important role in measuring household carbon emissions, especially in China (Xu L et al, 2021;Tian et al, 2017;Zhang and Lei, 2017). Many studies have confirmed the contribution of IOA models in promoting energy efficiency and in developing energy efficiency policies of household (Stagnitta et al, 2020).…”

Sectoral carbon linkages of Indian economy based on hypothetical extraction model

“…Both original and Cella HEM have been used in literature to study industrial-economic linkages (Song et al , 2006; Cai and Leung, 2004). HEM has also been applied to various dimensions and aspects related to environmental problems these include: water problem (Duarte et al , 2002; Blanco and Thaler, 2014; Deng et al , 2018); regional (Ali, 2015; Zhao et al , 2015; Wang et al , 2013) and inter-regional (Zhao et al , 2016) sectoral carbon linkages; energy linkages (Guerra and Sancho, 2010); household carbon linkages at country (Zhang et al , 2017a; Perobelli et al , 2015; Zhang et al , 2017b) and city (Tian et al , 2017; Liao et al , 2017) levels; and air pollutants at regional (He et al , 2017) and inter-regional levels (Wang et al , 2017a). …”

“…household carbon linkages at country (Zhang et al , 2017a; Perobelli et al , 2015; Zhang et al , 2017b) and city (Tian et al , 2017; Liao et al , 2017) levels; and…”

Integración económica México-Estados Unidos y su aprovechamiento regional en México

“…Entre sus principales resultados destacan que, en términos absolutos, las economías más grandes, como Alemania, presentaron vínculos de dependencia 7 Aplicaciones recientes del MEH para identificar la importancia de un sector en la estructura productiva de un país se encuentran en Kay (2017), Cassar (2017), Song et al (2005). Esta metodología también se ha utilizado recientemente para identificar los sectores clave responsables de la huella de carbono (Tian et al, 2018) y (Zhang et al, 2018), y para medir eficiencia energética (Guerra y Sancho, 2010). más fuertes.…”