Linkage analysis of sectoral CO2 emissions based on the hypothetical extraction method in South Africa

In this paper we examine the causal relationship between CO2 emissions and economic growth in South Africa - using the newly developed ARDL-Bounds testing approach. We incorporate energy consumption in a bivariate causality setting between CO2 emissions and economic growth, thereby creating a simple trivariate model. Our empirical results show that there is a distinct unidirectional causal flow from economic growth to carbon emissions in South Africa. We also find that energy consumption Granger-causes both carbon emissions and economic growth. We recommend that energy conservation policies, as well as appropriate forms of renewable energy, should be explored in South Africa in order to enable the country to reduce its carbon emission footprint without necessarily sacrificing its output growth. The results apply irrespective of whether the causality is estimated in the short or in the long run.

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A Hypothetical Extraction Method Decomposition of Intersectoral and Interprovincial CO2 Emission Linkages of China’s Construction Industry

Sustainability ◽

10.3390/su132413917 ◽

2021 ◽

Vol 13 (24) ◽

pp. 13917

Author(s):

Adedayo Johnson Ogungbile ◽

Geoffrey Q. P. Shen ◽

Jin Xue ◽

Tobi Michael Alabi

Keyword(s):

Construction Industry ◽

Co2 Emissions ◽

Extraction Method ◽

National Level ◽

Primary Energy ◽

Policy Formulation ◽

Carbon Intensity ◽

Emissions Reduction ◽

Construction Sector ◽

Input Output

Understanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input–output tables, we adopted a hypothetical extraction method combined with extended-environmental multi-regional input–output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push–pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demand-driven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.

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Decomposition analysis of energy-related CO2 emissions in South Africa

Journal of Energy in Southern Africa ◽

10.17159/2413-3051/2015/v26i1a2222 ◽

2015 ◽

Vol 26 (1) ◽

pp. 67-73 ◽

Cited By ~ 5

Author(s):

Ming Zhang ◽

Shuang Dai ◽

Yan Song

Keyword(s):

South Africa ◽

Co2 Emissions ◽

Co2 Emission ◽

Driving Forces ◽

Dominant Role ◽

Decomposition Analysis ◽

Structure Effect ◽

Energy Structure ◽

Index Method ◽

Intensity Effect

South Africa has become one of the most developing countries in the world, and its economic growth has occurred along with rising energy-related CO2 emission levels. A deeper understanding of the driving forces governing energy-related CO2 emissions is very important in formulating future policies. The LMDI (Log Mean Divisia Index) method is used to analyse the contribution of the factors which influence energy-related CO2 emissions in South Africa over the period 1993-2011. The main conclusions drawn from the present study may be summarized as follows: the energy intensity effect plays the dominant role in decreasing of CO2 emission, followed by fossil energy structure effect and renewable energy structure effect; the economic activity is a critical factor in the growth of energy-related CO2 emission in South Africa.

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The Impact of Energy Intensity, urbanization, Industrialization, and Income on CO2 Emissions in South Africa: An ARDL Bounds Testing Approach

African J of Economic and Sustainable Development ◽

10.1504/ajesd.2020.10027707 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Mulugeta S. Kahsai ◽

Chali Nondo

Keyword(s):

South Africa ◽

Co2 Emissions ◽

Energy Intensity ◽

Bounds Testing ◽

Ardl Bounds Testing ◽

Bounds Testing Approach ◽

Testing Approach ◽

The Impact ◽

Ardl Bounds Testing Approach

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Localize the Impact of Global Greenhouse Gases Emissions under an Uncertain Future: A Case Study in Western Cape, South Africa

Earth ◽

10.3390/earth2010007 ◽

2021 ◽

Vol 2 (1) ◽

pp. 111-123

Author(s):

Bowen He ◽

Ke J. Ding

Keyword(s):

Climate Change ◽

South Africa ◽

Co2 Emissions ◽

Ghg Emissions ◽

Future Climate ◽

Emissions Reduction ◽

Western Cape ◽

Emissions Scenarios ◽

Rcp 8.5 ◽

The Impact

The growing impact of CO2 and other greenhouse-gas (GHG) emissions on the socio-climate system in the Western Cape, South Africa, urgently calls for the need for better climate adaptation and emissions-reduction strategies. While the consensus has been that there is a strong correlation between CO2 emissions and the global climate system, few studies on climate change in the Western Cape have quantified the impact of climate change on local climate metrics such as precipitation and evaporation under different future climate scenarios. The present study investigates three different CO2 emissions scenarios: Representative Concentration Pathway (RCP) 2.6, RCP 4.5, and RCP 8.5, from moderate to severe, respectively. Specifically, we used climate metrics including precipitation, daily mean and maximum near-surface air temperature, and evaporation to evaluate the future climate in Western Cape under each different RCP climate scenario. The projected simulation results reveal that temperature-related metrics are more sensitive to CO2 emissions than water-related metrics. Districts closer to the south coast are more resilient to severer GHG emissions scenarios compared to inland areas regarding temperature and rainfall; however, coastal regions are more likely to suffer from severe droughts such as the “Day-Zero” water crisis. As a result, a robust drying signal across the Western Cape region is likely to be seen in the second half of the 21st century, especially under the scenario of RCP 8.5 (business as usual) without efficient emissions reduction policies.

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Inter-regional linkage analysis of industrial CO 2 emissions in China: An application of a hypothetical extraction method

Ecological Indicators ◽

10.1016/j.ecolind.2015.09.044 ◽

2016 ◽

Vol 61 ◽

pp. 428-437 ◽

Cited By ~ 32

Author(s):

Yuhuan Zhao ◽

Ya Liu ◽

Song Wang ◽

Zhonghua Zhang ◽

Jiechao Li

Keyword(s):

Linkage Analysis ◽

Extraction Method

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