Analysis of the environmental impact of China based on STIRPAT model

Lin, Shen; Zhao, Dingtao; Marinová, Dora

doi:10.1016/j.eiar.2009.01.009

Cited by 189 publications

(85 citation statements)

References 11 publications

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“…This result aligns with Lin et al (2009), Liddle (2013, Iwata and Okada (2014), Huo et al (2015) and Shahbaz et al (2016a). Lin et al (2009) concluded that population is the primary factor that influences CO 2 emissions and that the level of urbanization plays a significant role.…”

Section: Empirical Results and Discussionsupporting

confidence: 66%

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Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Sinha

Shahbaz

Balsalobre

2017

Journal of Cleaner Production

276

109

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Numerous studies regarding the economic growth-environmental pollution link have struggled to determine the effects of various forms of energy consumption on environmental degradation, particularly in the context of emerging economies. This study examines the environmental Kuznets curve (EKC) for CO 2 emissions in N-11 countries during 1990-2014 by segregating three forms of energy consumption (renewable, biomass and non-renewable). Urbanization and trade openness are additional explanatory variables that are used in the empirical framework. Using the Generalized Moments Method (GMM), the empirical evidence confirms the presence of an N-shaped relationship between economic growth and environmental degradation for N-11 countries. This study analyzed the interaction effects among trade openness, biomass consumption and economic growth; these interactions had a negative impact on CO 2 emissions levels of N-11 countries. Suitable policy recommendations have been provided based on the detailed results.

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Section: Empirical Results and Discussionsupporting

confidence: 66%

“…Lin et al (2009) concluded that population is the primary factor that influences CO 2 emissions and that the level of urbanization plays a significant role.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Sinha

Shahbaz

Balsalobre

2017

Journal of Cleaner Production

276

109

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“…The coefficient for industrialisation is statistically significant at the 5% level, indicating that a 1% increase in industrialisation lead to increase CO 2 emissions by 0.319 per cent. Similar results have been found by York et al (2003b), Shi (2003), Lin et al (2009) and Zhang and Lin (2012) for different countries. It appears that industrialisation, through the extraction and consumption of raw materials, the emission of industrial pollutants and increased energy demand, can intensify CO 2 emissions.…”

Section: Estimation Of the Long-run Elasticities Of Co 2 Emissionssupporting

confidence: 78%

Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis

2014

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“…For these reasons, a quantitative exploration of drivers related to cement consumption is urgent that can facilitate national decision makers and local urban planners to track cement consumption trend, to formulate management strategies and policies, and then to promote the development of resource-saving and environment-friendly city. Recently, the STIRPAT model has been extensively harnessed by researchers in economic environmental analysis for its extendibility (Fan et al, 2006;Ji and Chen, 2015;Jia et al, 2009;Lin et al, 2009;Liu et al, 2015;Shahbaz et al, 2016;Wang et al, 2013a). These studies, however, rarely concern about which factors are driving or reducing regional cement consumption in China.…”

Section: Introductionmentioning

confidence: 99%

Analysis on major drivers of cement consumption during the urbanization process in China

Cao

Shen

Liu

et al. 2016

Journal of Cleaner Production

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a b s t r a c tAccompanying by the rapid urbanization process of China, unprecedented amounts of cement have been poured into urban construction over the last decade. Since research is still scarce on the factors underlying the cement consumption, the motivation of this paper is to provide insight into cement-based socioeconomic metabolism and to improve understanding of the linkage between human activities and cement consumption. To explore the key impact factors of cement consumption, an extended STIRPAT model is exploited in this paper to examine the effect of population, Gross Domestic Product (GDP) per capita, cement consumption intensity, fixed investment and urbanization level with regional panel data of China from 2005 to 2013. The empirical results indicate that fixed investment and GDP per capita are the decisive driving factors of cement consumption. The unbalanced investment between infrastructure and people's livelihood reflects bias urbanization policy in China. Inverted-U shaped nexus between cement consumption and urbanization, as well as GDP per capita, are observed in the empirical results. Moreover, regional heterogeneities are taken into account in the model estimation. On the ground of the empirical findings, several policy recommendations are provided for policy makers. It is suggested that policy makers should take account of the regional discrepancy and implement a sustainable urbanization strategy to curtail cement consumption. Only when excessive fixed investment is curbed does the enthusiasm of cement consumption calm down.

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Analysis of the environmental impact of China based on STIRPAT model

Cited by 189 publications

References 11 publications

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis

Analysis on major drivers of cement consumption during the urbanization process in China

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