Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010

Cong-rong, Yao; Feng, Kuishuang; Hubacek, Klaus

doi:10.1016/j.ecoinf.2014.02.003

Cited by 114 publications

(67 citation statements)

References 19 publications

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“…The empirical investigation will be conducted for the G‐20 countries, which consists of seven advanced countries, twelve developing countries 4 and the European Union. The G‐20 countries account for 65% of the world's population and close to 90% of world's gross domestic product (Fu, Turner, Zhao, & Du, 2015; Yao, Feng, & Hubacek, 2015).…”

Section: Introductionmentioning

confidence: 99%

Is there a link between economic growth and insurance and banking sector activities in the G‐20 countries?

et al. 2017

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Rapid technological development over the last three decades has enabled different sectors of the economy to be seamlessly integrated. This has had an important spill-over impact on the wealth of countries across the globe. In this paper we examine the inter-linkages between the banking sector and the insurance industry on the economic growth of the G-20 countries between 1980 and 2014. Using the vector auto-regression model and the Granger causality test, the study shows that in the long run, developments in the banking sector and insurance industry have had a significant impact on the economic growth of the G-20 countries. In the short term, the inter-relationships between the three factors prove to be more complex in that they differ by countries in different stages of development. Based on the empirical findings, this paper discusses the policies and strategies policy makers and banks and insurance companies should have in place in order to create sustained economic growth in an increasingly inter-connected world.

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Section: Introductionmentioning

confidence: 99%

Is there a link between economic growth and insurance and banking sector activities in the G‐20 countries?

et al. 2017

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“…The comparison of production-and consumption-based CO 2 metabolism depicts a huge difference between the consumption-based CO 2 outputs and the production-based CO 2 emissions, which demonstrates that Hubei needs share responsibilities both as producer and consumer, focusing not only on the improvement of production technology and energy efficiency but also on the adjustment of economic system structure and trade policies avoiding carbon leakage. Yao et al (2015a) use the index decomposition analysis to identify the main driving forces of CO 2 emissions in the G20 countries. The results show that the driving forces of CO 2 emissions are significantly different in advanced economies versus emerging economies.…”

Section: Indicatorsmentioning

confidence: 99%

Ecosystem metabolism framework, metrics and indicators towards sustainable society design and management

Chen

2015

Ecological Informatics

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“…The method is used in many research fields, such as for the decomposition of energy consumption or carbon emission factors. For example, Vinuya et al [50,51] used the LMDI decomposition model to find that economic and population growth is the largest factor driving carbon emissions. The increase in energy use efficiency and the decline in energy intensity can effectively restrain the increase in carbon emissions due to the impact of GDP and population increase.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Evolution and Factor Decomposition for Ecological Pressure of Carbon Footprint in the One Belt and One Road

Sun

Geng

et al. 2018

Sustainability

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Low-carbon and green development is important to promote the sustainable economic and social development of countries along the One Belt and One Road. These countries have distinct differences in their ability to withstand carbon emission pressures and their driving factors, due to different stages of development and economic characteristics. This paper presents a model of ecological pressure of the carbon footprint in energy consumption (EPcfec), defined by three states: light, balanced, and heavy pressure. The EPcfec was calculated from data on 56 countries along the One Belt and One Road from 1994–2014, and analysis of the data’s temporal and spatial evolutionary rules was conducted. Furthermore, we used the LMDI method to extract the driving forces of EPcfec and evaluated the contribution of these factors to the overall region and seven sub-regions. The results showed that EPcfec growth slowed over time, with the value of EPcfec reaching 3190.51 in 2014. Resource-rich countries have a greater value of EPcfec and are mainly distributed in parts of West Asia, North Africa, and Southeast Asia. The per capita export of goods and services, and the population density on productive land contribute to ecological pressure on the carbon footprint. Energy structure, the influence of international trade on GDP, and energy intensity exerted an inhibitory effect on the ecological pressure of the carbon footprint. This paper proposes mitigation measures for optimizing energy structure, improving energy efficiency, developing low energy consumption, and promoting green international trade. Our results provide support for countries along the One Belt and One Road to mitigate ecological pressures resulting from their carbon footprint.

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Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010

Cited by 114 publications

References 19 publications

Is there a link between economic growth and insurance and banking sector activities in the G‐20 countries?

Is there a link between economic growth and insurance and banking sector activities in the G‐20 countries?

Ecosystem metabolism framework, metrics and indicators towards sustainable society design and management

Spatial–Temporal Evolution and Factor Decomposition for Ecological Pressure of Carbon Footprint in the One Belt and One Road

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