Analysis of influencing factors of the CO2 emissions in China: Nonparametric additive regression approach

Wen, Lei; Shao, Hengyang

doi:10.1016/j.scitotenv.2019.133724

Cited by 14 publications

(9 citation statements)

References 72 publications

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“…Their study revealed a nonlinear influence from growth to CO 2 emission. In the study, other factor variables such as energy consumption level (household consumption) exerted an inverted U-type pattern; likewise, industrialization exerted an inverted overturned U-type pattern, and other primary factors such as energy intensity, urbanization and aggregated sales of consumable goods exerted U-type pattern (Wen and Shao 2019 ).…”

Section: Literature Reviewmentioning

confidence: 81%

“…Furthermore, Wen and Shao ( 2019 ) investigated China’s CO 2 emission and other influencing factors using a nonparametric addictive regression approach. Their study revealed a nonlinear influence from growth to CO 2 emission.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hence, EKC model explains the complementary relatedness of socio-eco-environmental variables as they influence carbon emissions, as empirical investigations on the theme has attracted contrary views due to differences in The role of tourism on emissions is an addition to a number of other interrelated macroeconomic variables (Adedoyin et al 2020a, b;Adedoyin et al 2020a, c, b;Adedoyin and Zakari 2020;Etokakpan et al 2020;Kirikkaleli et al 2020;Udi et al 2020). For instance, tourism is recognized as a driver of economic expansion (Ouyang and Lin 2017;Wang et al 2016;Hossain 2011;Yu et al 2012) which in turn is responsible for the increasing CO 2 emission globally (Dogan and Seker 2016;Dogan and Turkekul 2016;;Wang et al 2016;Dogan et al 2020;Ertugrul et al 2016;Inglesi-Lotz and Dogan 2018;Moutinho et al 2018;Wang et al 2017;Zameer and Wang 2018;Wen and Shao 2019;Yasmeen et al 2020) and this threatens the environmental sustenance since this emission leads to extensive global warming. On the other hand, tourism has been attributed to strong economic growth (Diamond 2005), which has led to massive urbanization and industrialization.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED ARTICLE: Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: renewed evidence from panel VAR

Adedoyin

Bekun

2020

Environ Sci Pollut Res

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In less than two decades, the global tourism industry has overtaken the construction industry as one of the biggest polluters, accounting for up to 8% of global greenhouse gas emissions as reported by the United National World Trade Organization (UNWTO 2018). This position resonates the consensus of the United Nations Framework Convention on Climate Change (UNFCCC). Consequently, research into the causal link between emissions and the tourism industry has increased significantly focusing extensively on top earners from the industry. However, few studies have thoroughly assessed this relationship for small island economies that are highly dependent on tourism. Hence, this study assessed the causal relationship between CO2 emissions, real GDP per capita (RGDP) and the tourism industry. The analysis is conducted for seven tourism-dependent countries for the period 1995 to 2014 using panel VAR approach, with support from fully modified ordinary least square and pooled mean group–autoregressive distributed lag models. Unit root tests confirm that all variables are stationary at first difference. Our VAR Granger causality/block exogeneity Wald test results show a unidirectional causality flowing from tourism to CO2 emission, RGDP and energy consumption, but a bi-directional causality exists between tourism and urbanization. This implies that in countries that depend on tourism, the behaviour of CO2 emission, RGDP and energy consumption can be predicted by the volume of tourist arrivals, but not the other way around. The impulse response analysis also shows that the responses of tourism to shocks in CO2 appear negative within the 1st year, positive within the 2nd and 3rd years but revert to equilibrium in the fourth year. Finally, the reaction of tourism to shocks in energy consumption is similar to its reaction to shocks in RGDP. Tourism responds positively to shocks in urbanization throughout the periods. These outcomes were resonated by the Dumitrescu and Hurlin causality analysis where the growth-induced tourism hypothesis is validated as well as feedback causality observed between tourism and pollutant emission and urbanization and pollutant emission in the blocks over the sampled period. Consequently, this study draws pertinent energy and tourism policy implications for sustainable tourism on the panel over their growth trajectory without compromise for green environment.

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Section: Literature Reviewmentioning

confidence: 81%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RETRACTED ARTICLE: Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: renewed evidence from panel VAR

Adedoyin

Bekun

2020

Environ Sci Pollut Res

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“…In fact, the role of governance factors on CO 2 emissions is interrelated. The impact of governance factors on CO 2 emissions is complex [ 8 ], and a large number of nonlinear links between governance variables and CO 2 emissions have not been revealed [ 9 ]. Existing studies confirmed the effects of governance elements on CO 2 emissions.…”

Section: Introductionmentioning

confidence: 99%

Use of random forest based on the effects of urban governance elements to forecast CO2 emissions in Chinese cities

Zhang,

Peng,

Wang

et al. 2023

Heliyon

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“…Industrial structure, energy efficiency, urbanization process, economic agglomeration, technological progress, environmental regulation, etc. have also become effective perspectives and ways for scholars and the industry to explore lowcarbon emission reduction [2][3][4] .…”

mentioning

confidence: 99%

Study on carbon emission reduction effect of institutional openness in China

Guo

Wang

2023

Sci Rep

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As the main means to dovetail the domestic system with international rules, institutional openness is the key to deepening participation in the global economic governance system, breaking through energy and carbon emission constraints, and achieving green and sustainable economic development. Taking 284 prefecture-level cities in China from 2006 to 2019 as the research sample, this paper uses the establishment of Pilot Free Trade Zones as a quasi-natural experiment to systematically identify and test the actual impact of institutional openness on urban carbon emissions in China through the asymptotic difference in difference method, instrumental variables method, spatial econometric model, and mediating effects model. Meanwhile, technological progress is used as the entry point to analyze the intrinsic mechanism of action by adopting digital transformation oriented to efficiency improvement and green innovation capability oriented to R&D innovation as the differentiated perspective. It is found that institutional openness significantly suppresses urban CO2 emissions, and there is a certain heterogeneity and spatial spillover effect of this effect. Further study finds that institutional openness achieves carbon emission reduction through technological progress. The study aims to find new institutional innovation and development paths for low carbon development.

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Analysis of influencing factors of the CO2 emissions in China: Nonparametric additive regression approach

Cited by 14 publications

References 72 publications

RETRACTED ARTICLE: Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: renewed evidence from panel VAR

RETRACTED ARTICLE: Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: renewed evidence from panel VAR

Use of random forest based on the effects of urban governance elements to forecast CO2 emissions in Chinese cities

Study on carbon emission reduction effect of institutional openness in China

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