Correlation analysis of CO2 emissions, material stocks and economic growth nexus: Evidence from Chinese provinces

Han, Ji; Du, Tianyi; Zhang, Chao; Qian, Xuepeng

doi:10.1016/j.jclepro.2018.01.168

Cited by 67 publications

(17 citation statements)

References 40 publications

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“…This makes it very important to understand the nexus between this economic growth and carbon emissions. According to Han et al ( 2018 ), they reveal that it is imperative to have a decent comprehension about the relationship between carbon emissions and economic growth to disclose the interfaces between human activities and the natural ecology to reduce greenhouse gases.…”

Section: Theoretical Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Investigating the nexus among environmental pollution, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African countries

Ssali

Mensah

et al. 2019

Environ Sci Pollut Res

115

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This research seeks to enhance the current literature by exploring the nexus among environmental contamination, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African nations for a time of 34 years (1980–2014). By applying panel unit root (CADF and CIPS, cross-sectional independence test), panel cointegration (Pedroni and Kao cointegration test, panel PP, panel ADF), Hausman poolability test, and an auto-regressive distributed lag procedure in view of the pooled mean group estimation (ARDL/PMG), experimental findings disclose that alluding to the related probability values, the null hypothesis of cross-sectional independence for all variables is rejected because they are not stationary at levels but rather stationary at their first difference. The variables are altogether integrated at the same order I(1). Findings revealed that there is a confirmation of a bidirectional causality between energy use and CO 2 in the short-run and one-way causality running from energy use to CO 2 in the long run. There is additionally a significant positive outcome and unidirectional causality from CO 2 to foreign direct investment in the long run yet no causal relationship in the short run. An increase in energy use by 1% causes an increase in CO 2 by 49%. An increase in economic growth by 1% causes an increment in CO 2 by 16% and an increase in economic growth squared by 1% diminishes CO 2 by 46%. The positive and negative impacts of economic growth and its square approve the EKC theory. To guarantee sustainable economic development goal, more strict laws like sequestration ought to be worked out, use of sustainable power source ought to be stressed, and GDP ought to be multiplied to diminish CO 2 by the utilization of eco-technology for instance carbon capturing, to save lives and also to maintain a green environment.

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Section: Theoretical Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Investigating the nexus among environmental pollution, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African countries

Ssali

Mensah

et al. 2019

Environ Sci Pollut Res

115

View full text Add to dashboard Cite

show abstract

“…Environmental impacts: A significant part of the literature addressed the ecological implications of material flows and stocks. Many studies examined the correlation between GHG emissions and material stocks [46,[75][76][77][78][79][80], while others estimated wood-based materials or "carbon stock" [81][82][83], and there was also an interest in analyzing energy use retrospectively [20,[84][85][86] and estimating future energy demand [87][88][89][90][91][92]. In short, this part of the literature is significant because it presents various scenarios that demonstrate the magnitude of environmental harm that can be averted [52,93], especially in the context of renovation activities and retrofits that extend the life of building stock rather than end it [94][95][96].…”

Section: Industrial Ecology and Urban Metabolismmentioning

confidence: 99%

Mining the Built Environment: Telling the Story of Urban Mining

Fahid

Dombi

2021

Buildings

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Materials are continuously accumulating in the human-built environment since massive amounts of materials are required for building, developing, and maintaining cities. At the end of their life cycles, these materials are considered valuable sources of secondary materials. The increasing construction and demolition waste released from aging stock each year make up the heaviest, most voluminous waste outflow, presenting challenges and opportunities. These material stocks should be utilized and exploited since the reuse and recycling of construction materials would positively impact the natural environment and resource efficiency, leading to sustainable cities within a grander scheme of a circular economy. The exploitation of material stock is known as urban mining. In order to make these materials accessible for future mining, material quantities need to be estimated and extrapolated to regional levels. This demanding task requires a vast knowledge of the existing building stock, which can only be obtained through labor-intensive, time-consuming methodologies or new technologies, such as building information modeling (BIM), geographic information systems (GISs), artificial intelligence (AI), and machine learning. This review paper gives a general overview of the literature body and tracks the evolution of this research field.

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“…The main method of correlation analysis is to draw correlation charts and calculate correlation coefficients [27]. There are three kinds of correlation coefficients that are often used, and among them, Pearson correlation coefficient is a measure of the degree of linear correlation, which is also commonly used at present [28].…”

Section: Moving Windows and Correlation Analysismentioning

confidence: 99%

The Identification and Rebound Effect Evaluation of Equipment Energy Efficiency Improvement Policy: A Case Study on Japan’s Top Runner Policy

Yu¹,

Dewancker²,

Qian³

2020

Energies

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The equipment energy efficiency improvement policy (EEEIP) is one of the important measures of energy conservation and emission reduction in various countries. However, due to the simultaneous implementation of variety policies, the effect of the single policy cannot be clearly reflected. In this paper, a method of identification and evaluation of EEEIP was proposed, and the application was verified by analyzing the example of EEEIP in Japan (Top Runner policy, TRP). Firstly, through the factor decomposition model, this paper studied the energy conservation and emission reduction potential of this policy area in Japan. Then, the TRP was identified by using moving windows and correlation analysis, and the impact of specific equipment in TRP was analyzed. Finally, through the calculation of the rebound effect of the carbon footprint (REC), this paper analyzed the energy consumption and emission reduction effects of TRP in the short-term and whole life cycle. It showed that the policy has a good effect in tertiary industry and transportation, while the effect in residential is poor. For life cycle, the TRP of air conditioning and passenger car can bring better CO2 emission reduction effect, but the emission reduction effect of lighting is basically offset.

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Correlation analysis of CO2 emissions, material stocks and economic growth nexus: Evidence from Chinese provinces

Cited by 67 publications

References 40 publications

RETRACTED ARTICLE: Investigating the nexus among environmental pollution, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African countries

RETRACTED ARTICLE: Investigating the nexus among environmental pollution, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African countries

Mining the Built Environment: Telling the Story of Urban Mining

The Identification and Rebound Effect Evaluation of Equipment Energy Efficiency Improvement Policy: A Case Study on Japan’s Top Runner Policy

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