Economic growth, industrialization, and the environment

Cherniwchan, Jevan

doi:10.1016/j.reseneeco.2012.04.004

Cited by 187 publications

(84 citation statements)

References 37 publications

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“…Although Cherniwchan (2012) [9] does not focus on CO 2 , by taking SO 2 as a proxy for environmental pollution, he demonstrates that the process of industrialization is a significant determinant of observed changes in SO 2 . Mentioned in the previous paragraph, another study about the role of industrial composition on CO 2 emission is Wing (2008) [41]; which finds that changes in industrial composition is one of the main sources of the decline in the energy intensity.…”

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Özbuğday

Erbas

2015

Energy

165

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Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Özbuğday

Erbas

2015

Energy

165

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“…(Yuan et al 2014) Many studies employed the extent of CO2, SO2 and other pollutants in the atmosphere as the measure of environmental pollution and global warming. Many studies tried to find the relationship between the emission of global warming gases and use of alternative technology (Dai et al 2001: Cherniwchan, J. 2012 Many studies discussed the impact of CO2 emission on the environment in long period of time and in the short run.…”

Section: Construction Of Variablementioning

confidence: 99%

Impact of Energy Consumption on CO2 emissions: Case of Pakistan

Bukhari

Waseem

2017

J Mgt Info

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This study investigates the long-term relationship between the carbon dioxide emissions, energy consumption, along with final consumption expenditure with regards to Pakistan by employing time series data from 1972 to 2013. For empirical analysis the Auto regressive distributed lag (ARDL) methodology is employed. A relationship between the energy consumption and the CO2 emission has been founded. The results of granger causality test point out the one way causality runs through energy consumption to carbon dioxide emission. The findings of the study also show that the CO2 emission is mainly determined by the energy consumption and the final consumption expenditure. ARTICLE INFORMATION

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“…The GDP of China grew from 149.541 billion US$ in 1978 to 11.008 trillion US$ in 2015 [2], which corresponds to nearly 13% of the global total share from approximately 1.8%, thus making China the second largest economy in the world. However, the rapid growth of the GDP has resulted from a series of events that are closely associated with the depleting energy resource and environmental degradation [3][4][5]. Specifically, the energy consumption of China has been ranked first in the world [6,7], reaching 4.258 billion tons of standard coal equivalent in 2014 (more than l2.3% of that in 2013) and accounting for 23% of the world's total [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs

Meng

Wang

et al. 2017

Sustainability

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Industrial energy and environment efficiency evaluation become especially crucial as industrial sectors play a key role in CO 2 emission reduction and energy consumption. This study adopts the additive range-adjusted measure data envelope analysis (RAM-DEA) model to estimate the low-carbon economy efficiency of Chinese industrial sectors in [2001][2002][2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013]. In addition, the CO 2 emission intensity mitigation target for each industrial sector is assigned. Results show that, first, most sectors are not completely efficient, but they have experienced and have improved greatly during the period. These sectors can be divided into four categories, namely, mining, light, heavy, and electricity, gas, and water supply industries. The efficiency is diverse among the four industrial categories. The average efficiency of the light industry is the highest among the industries, followed by those of the mining and the electricity, gas, and water supply industries, and that of the heavy industry is the lowest. Second, the electricity, gas, and water supply industry shows the biggest potential for CO 2 emission reduction, thus containing most of the sectors with large CO 2 emission intensity mitigation targets (more than 45%), followed by the mining and the light industries. Therefore, the Chinese government should formulate diverse and flexible policy implementations according to the actual situation of the different sectors. Specifically, the sectors with low efficiency should be provided with additional policy support (such as technology and finance aids) to improve their industrial efficiency, whereas the electricity, gas, and water supply industry should maximize CO 2 emission reduction.

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Economic growth, industrialization, and the environment

Cited by 187 publications

References 37 publications

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Impact of Energy Consumption on CO2 emissions: Case of Pakistan

Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs

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