Urban environment dynamics and low carbon society: Multi-criteria decision analysis modeling for policy makers

Ali, Ghaffar; Abbas, Sawaid; Pan, Yanchun; Chen, Zhimin; Hussain, Jafar; Sajjad, Muhammad; Ashraf, Aqdas

doi:10.1016/j.scs.2019.101763

Cited by 50 publications

(20 citation statements)

References 19 publications

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“…Comparatively, the income elasticity is higher than that of energy elasticity which gives the indication that income is the more dogged driver of carbon emissions. On energy and income as positive predictors of emissions, our findings align with previous studies [ 7 , 14 , 21 , 55 – 63 ]. This positive relation is not far-fetched.…”

Section: Analysis and Interpretationssupporting

confidence: 91%

“…Similarly, Ali, Abbas [ 21 ] reveal that increasing energy consumption causes a rise in carbon emissions in Lahore Metropolitan Area of Pakistan. Also, Hilfa, Mohamad [ 22 ] examine the nexus among CO 2 emission and each of economic development, renewable energy, urbanization, and agriculture for the Malaysian economy based on data sourced from 1978 to 2016.…”

Section: Literature Reviewmentioning

confidence: 99%

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Energy use and the role of per capita income on carbon emissions in African countries

et al. 2021

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This study contributes towards the realization of Sustainable Development Goal (SDG) 13 which aims “take urgent action to combat climate change and its impacts” by investigating the role of per capita income in moderating the impact of energy use on carbon emissions. Using data from 28 selected African countries covering 1990 to 2019 and deploying the FGLS, PCSE, and MM-QR techniques, findings reveal, among others, that: at the 1% significance level, a percentage change in energy use leads to between 0.60% and 0.70% increase in carbon emissions, on average, ceteris paribus. Correspondingly, income shows to be a positive driver of emissions contributing between 0.87% and 0.84% percentage increase, on average, ceteris paribus. Also, per capita income attenuates the impact of energy use on emissions by between -0.27% and -0.23%, on average, ceteris paribus. However, significant heterogeneities occur across the sub-regions. Specifically, Southern Africa shows the largest energy contributor to emissions 1.65% while Central Africa contributes the most to aggravating emissions by 1.87% through increase in per capita income. West Africa shows the largest moderation effect at -0.56%. Across the quartiles, the effects of energy use and per capita are positive. Given these, we submit that the strong correlation between energy usage and per capita income (i.e. economic growth) poses a dilemma for African economies in their drive for growth. Leaving room for trade-offs. Perhaps, the lesson is that as African countries seek for more development without contributing to carbon emissions, governments should invest more in renewable energy.

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Section: Analysis and Interpretationssupporting

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Energy use and the role of per capita income on carbon emissions in African countries

et al. 2021

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“…It is also understood that, economic policies are tailored according to the advancement of a nation, that is why developing countries will at all times prioritize economic stability not necessarily minding the environmental consequences (Ali et al, 2019b) or downplay it, particularly during recession. This kind of policy space flexibility which gives room for policy summersault is also bound to cause regime shift in CO2 emission series.…”

Section: Structural Breaks In Co 2 Emissionsmentioning

confidence: 99%

Structural breaks in CO2 emissions: Are they caused by climate change protests or other factors?

Adedoyin

Öztürk

Abubakar³

et al. 2020

Journal of Environmental Management

119

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In recent times, there has been increase in climate change protest across the globe. However, whether decrease in emissions is connected with climate change protest or not is yet to be documented in the literature. Consequently, the aim of this article is to fill this gap by examining ex-post detection of how climate change protests and its interconnectedness with CO2 emissions. Using the Bai and Perron (1998) structural break test, we estimate the number of breaks as well as the date of such structural breaks in CO2 emissions series for 41 countries. Our aim is to match the date of the climate change protests to those of the structural breaks. We observe that climate change protests are fairly consistent with the dates of breaks in Europe and Asia, but not in BRICS economies or US, Canada and other countries. Therefore, this method allows us to solve a gap in the energy industry related to the modelling and correct allocation of positive shocks in CO2 emissions to climate change protests.

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“…By the sorting and classifying of the contents of county governance, as well as the introducing of the governance indicators into the cause-effect chain [56], governance indicators that constituted a causal relationship with carbon emissions were found and formed the initial county-level carbon emission governance indicator system, as shown in Table 1. To ensure that the selected indicators were representative and justified, this study referred to the low-carbon planning indicators in 15 typical papers on low-carbon city indicator systems [7,49,[57][58][59][60][61][62][63][64][65][66][67][68][69]. The initial indicators' reference rates in the 15 references were counted and most were higher than 30%.…”

Section: Psr Framework For Low-carbon Countiesmentioning

confidence: 99%

Carbon Emission Governance Zones at the County Level to Promote Sustainable Development

Peng

et al. 2021

Land

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Low-carbon governance at the county level has been an important issue for sustainable development due to the large contributions to carbon emission. However, the experiences of carbon emission governance at the county level are lacking. This paper discusses 5 carbon emission governance zones for 1753 counties. The zoning is formed according to a differentiated zoning method based on a multi-indicator evaluation to judge if the governance had better focus and had formulated a differentiated carbon emission governance system. According to zoning results, there is 1 high-carbon governance zone, 2 medium-carbon governance zones, and 2 low-carbon zones. The extensive high-carbon governance zone and medium-carbon zones are key governance areas, in which the counties are mainly located in the northern plain areas and southeast coastal areas and have contributed 51.88% of total carbon emissions. This paper proposes differentiated governance standards for each indicator of the 5 zones. The differentiated zoning method mentioned in this paper can be applied to other governance issues of small-scale regions.

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Urban environment dynamics and low carbon society: Multi-criteria decision analysis modeling for policy makers

Cited by 50 publications

References 19 publications

Energy use and the role of per capita income on carbon emissions in African countries

Energy use and the role of per capita income on carbon emissions in African countries

Structural breaks in CO2 emissions: Are they caused by climate change protests or other factors?

Carbon Emission Governance Zones at the County Level to Promote Sustainable Development

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