Driving forces and decoupling indicators for carbon emissions from the industrial sector in Egypt, Morocco, Algeria, and Tunisia.

North Africa currently accounts for about 40% of Africa's total CO2 emissions, and the industrial sector is one of the energy-intensive sectors in the region. To this end, special attention should be paid to this region if the African continent's GHG mitigation targets are to be achieved. An extended decomposition approach was combined with the Tapio method to explore the decoupling of CO2 emissions from industrial growth in North African countries over the period of 1990-2016. The effects of five factors were assessed in the decoupling and the study took into account all fossil fuels used in the industrial sector of this region. Unlike Morocco, Egypt, Tunisia, and Algeria, this study did not consider Libya because of the unavailability of data. Meanwhile, the results showed that: (i) low decoupling was achieved in Tunisia, compared with Morocco and Egypt, where significant decoupling occurred significantly over the study period. (ii) Due to the slowdown in industrial growth, the decoupling analysis did not show satisfactory results in the case of Algeria. (iii) Scale effects contributed to promoting decoupling only in Algeria, while the energy intensity effect played a negative role in decoupling only in Tunisia. (iv) The energy structure effect played an important role in decoupling in Tunisia and Egypt, while the economic structural effect favored decoupling in Tunisia and Morocco alone. An energy policy conducive to the use of more renewable energy is needed to promote decoupling in North African countries.

Identification and analysis of driving factors of CO2 emissions from economic growth in Pakistan.

This study applied the logarithmic mean Divisia index (LMDI) model to identify and discuss the main drivers of Pakistan's CO2 emissions over the period 1990-2016. The study examined the effects of five factors based on Pakistan's three main economic sectors while considering the 11 types of fuels consumed in that country. The results showed that the energy structure effect is the greatest driving force of CO2 emissions in this country, followed by scale effect and economic structure effect. Energy intensity is the main contributor to reducing Pakistan's carbon emissions throughout the study period. A comparative review at the sectoral level shows that the industrial sector for which coal is the main source of energy supply is the one that contributes the most to CO2 emissions in Pakistan. Alongside this sector is the tertiary sector, where the transport sub-sector imposes rules of conduct based on a growing Pakistani population. Meanwhile, deforestation would be the main cause of CO2 emissions from the agricultural sector in Pakistan, as energy consumption in this sector remains very low. Improving energy efficiency through the intensification of clean energy is urgently needed if Pakistan's environmental goals are to be achieved.

Decomposition of Cameroon's CO2 emissions from 2007 to 2014: an extended Kaya identity.

To effectively combat global warming, an enormous reduction in CO2 emissions is required. Cameroon, which is currently the largest emitter of CO2 in the CEMAC subregion, has committed to reducing its greenhouse gas emissions by 32% by 2035. However, previous studies in Cameroon have only addressed the relationship between economic growth, energy consumption, and CO2 emissions without estimating all causal relationships at the same time. Moreover, no study has yet decomposed this country's CO2 emissions to date. To fill these research gaps and further assess the determinants of these CO2 emissions, an extended Kaya identity and the Logarithm Mean Divisia Index (LMDI I) have been applied in this paper to identify, quantify, and explain the main drivers of Cameroon's CO2 emissions from 2007 to 2014. Seven effects were measured and the main findings show that carbon intensity and the emission factor increased by 0.57% and 107.50% respectively. Regarding contributions to the increase of CO2 emissions, the population effect was the most positive followed by the activity effect, whereas the energy intensity, the substitution of fossil fuels and the penetration of renewable energies have contributed to reduce the CO2 emission. To enable Cameroon to not only achieve the goals of its vision but also develop a low-carbon economy, this paper provides some proposed avenues that should be considered by policymakers.

Decomposing the decoupling of CO2 emissions from economic growth in Cameroon.

This paper applied the Tapio and LMDI methods based on an extended Kaya identity, to evaluate the decoupling and factors that influenced the relationship between economic growth and CO2 emissions in Cameroon from 1990 to 2015. The analysis covered the two main sectors of Cameroon's economic activity, and the decoupling indicators were broken down into five factors. The results showed that Cameroon performed weak decoupling throughout this study period. A weak negative decoupling and a strong negative decoupling appeared during the periods 1990-1992 and 1993-1994, whereas a strong decoupling occurred only from 1994 to 1995 and between 2004 and 2006. From a general point of view, we found that demographic change, followed by energy intensity and economic activity, played a negative role in decoupling, while economic structure and emission factors had promoted the development of decoupling. A comparative analysis of the industrial and tertiary sectors revealed that industrial growth determined the degree of decoupling of CO2 emissions from Cameroon's economic growth. The policy will need to optimize and significantly adjust the energy and industrial structures if Cameroon's 2035 emission reduction targets are to be reached. This requires a change in Cameroon's energy consumption and economic development pathways for optimal outcomes.