Environmental Kuznets Curve in China: New evidence from dynamic panel analysis

Li, Tingting; Yong, Wang; Zhao, Dingtao

doi:10.1016/j.enpol.2016.01.002

Cited by 366 publications

(174 citation statements)

References 38 publications

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“…These estimations and findings were mostly consistent with previous findings [34][35][36]. Moreover, given that the average national per capita GDP in 2016 was 17,522 yuan, which is considerably lower than the estimated inflection points of the EKC curve, it is reasonable to expect that China's CO 2 emissions will keep growing in the foreseeable future, and more efforts must be made to achieve the ambitious goal of having carbon emissions peak before 2030.…”

Section: Environmental Kuznets Curve In Chinasupporting

confidence: 88%

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Hao

Huang

2019

Energies

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Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.

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Section: Environmental Kuznets Curve In Chinasupporting

confidence: 88%

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Hao

Huang

2019

Energies

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“…For example, Lindmark [11], Nasir and Rehman [12], Eeteve and Tamarit [13], Jalil and Mahmud [14], and Li et al [15] applied Swedish, Pakistani, Spanish and Chinese data to perform empirical tests on the reverse U-shapes between national income per capita and environmental pollution status, and their results strongly supported the EKC theory in various scenarios. However, many other empirical studies, especially those based on time series models, argued that the declining portions of the Environmental Kuznets Curve were illusory, either because they were cross-sectional snapshots that masked a long-run "race to the bottom" in environmental standards or because industrial societies continually produced new pollutants because the old ones were controlled (Stern [16], York et al [17], Kwon [18]).…”

Section: Literature Reviewmentioning

confidence: 74%

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Jin

2016

Sustainability

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Abstract:Urbanization is considered a main indicator of regional economic development due to its positive effect on promoting industrial development; however, many regions, especially developing countries, have troubled in its negative effect-the aggravating environmental pollution. Many researchers have addressed that the rapid urbanization stimulated the expansion of the industrial production and increased the industrial pollutant emissions. However, this statement is exposed to a grave drawback in that urbanization not only expands industrial production but also improves labor productivity and changes industrial structure. To make up this drawback, we first decompose the influence of urbanization impacts on the industrial pollutant emissions into the scale effect, the intensive effect, and the structure effect by using the Kaya Identity and the LMDI Method; second, we perform an empirical study of the three effects by applying the spatial panel model on the basis of the data from 282 prefecture-level cities of China from 2003 to 2014. Our results indicate that (1) there are significant reverse U-shapes between China's urbanization rate and the volume of industrial wastewater discharge, sulfur dioxide emissions and soot (dust) emissions; (2) the relationship between China's urbanization and the industrial pollutant emissions depends on the scale effect, the intensive effect and the structure effect jointly. Specifically, the scale effect and the structure effect tend to aggravate the industrial wastewater discharge, the sulfur dioxide emissions and the soot (dust) emissions in China's cities, while the intensive effect results in decreasing the three types of industrial pollutant emissions; (3) there are significant spatial autocorrelations of the industrial pollutant emissions among China's cities, but the spatial spillover effect is non-existent or non-significant. We attempt to explain this contradiction due to the fact that the vast rural areas around China's cities serve as sponge belts and absorb the spatial spillover of the industrial pollutant emissions from cities. According to the results, we argue the decomposition of the three effects is necessary and meaningful, it establishes a cornerstone in understanding the definite relationship between urbanization and industrial pollutant emissions, and effectively contributes to the relative policy making.

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“…From a policy perspective, our estimation results suggest that improving the status of women worldwide, especially in the developing countries, can reduce CO 2 emissions. Although there is now a relatively large body of research that have examined the determinants of CO 2 emissions (Adams & Klobodu, 2017;Burke, Shahiduzzaman, & Stern, 2015;Fotis & Polemis, 2018;Iwata, Okada, & Samreth, 2012;Li, Wang, & Zhao, 2016;Liao & Cao, 2013;Lv, 2017), especially, lots of empirical studies explore the association between GDP and CO 2 emissions (Atici, 2009;Galeotti, Manera, & Lanza, 2009;Osabuohien, Efobi, & Gitau, 2014). Surprisingly, these studies did usually not incorporate gender as an important explanatory factor.…”

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confidence: 99%

Does women's political empowerment matter for improving the environment? A heterogeneous dynamic panel analysis

Deng

2019

Sustainable Development

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According to the UN Agenda 21 in 1992, women were regarded as a very important part in achieving sustainable development. In this agenda, participation, equality, and empowerment for females were emphasized as bases for sustainable development. In this paper, we make an attempt to explore the relationship between women's political empowerment (WPE) and CO2 emissions. To that end, we apply panel‐cointegration techniques to investigate both long‐term and short‐term effects of WPE on the environment in 72 countries during 1971–2012. The results from the pooled mean group (PMG) estimator indicate that, in the long run, CO2 emissions decrease by about 11.51 percent points in response to a one‐unit increase in the index of WPE after controlling for a variety of other factors. However, the short‐term estimated coefficient of WPE is statistically insignificant. Moreover, further study shows that women's civil society participation has the largest effect, followed by political participation. Another noteworthy result is the effect of energy intensity. We find that both the long‐term and short‐term estimated coefficient of energy intensity are positive and highly statistically significant, but the magnitude of the short‐term estimated coefficient is lower than the long‐term one. This comparison suggests that the influence of energy intensity on CO2 emissions would usually take some time to materialize fully. From a policy perspective, our estimation results suggest that improving the status of women worldwide, especially in the developing countries, can reduce CO2 emissions.

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Environmental Kuznets Curve in China: New evidence from dynamic panel analysis

Cited by 366 publications

References 38 publications

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Does women's political empowerment matter for improving the environment? A heterogeneous dynamic panel analysis

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