Export trade, embodied carbon emissions, and environmental pollution: An empirical analysis of China's high- and new-technology industries

Wang, Shuhong; Tang, Yu; Du, Zehua; Song, Malin

doi:10.1016/j.jenvman.2020.111371

Cited by 106 publications

(49 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…China will endeavor to ultimate CO2 emissions by 2030 and producing carbon neutrality by 2060 [43]. The innovative strategies of China to reduce CO2 emissions up to 2030 from the key industries [44,45].…”

Section: Value-added Industriesmentioning

confidence: 99%

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

View full text Add to dashboard Cite

The credible sources of fossil energy efficiently are a vital cause of economic growth and considerable influence on adequate security. Whereas radiant energy positively enhances or ostensibly promotes socio-economic stability and the controlled environment. The fossil energy sources supply has become progressively stern in China and reconnoitering the beta decoupling relationships between CO2 emissions, GDP, energy consumption, electricity consumption, value-added industries, and population. The results will be favorable for illustrative the security of the valuable resources. This study adopts the extended stochastic model (STIRPAT) with Beta Decoupling Techniques (BDT). This modern technique merely employs the decoupling situation by the alpha and beta effects from 1989 to 2018 and calculates the % change in CO2 emissions by GDP growth and energy consumption. The estimated results represent negative and economic growth depends on coal and natural gas. First, CO2 emissions annually increasing cause of rapid growth, energy consumption, and electricity production, and the structural contradiction of energy remained static. Second, the Value-added industries estimated that CO2 emissions reduce by primary industries. Third, the decoupling states of CO2 emissions and population show an inverse relationship. This paper tentatively suggests China is sustainable, naturally strengthens energy output, transmutes the energy consumption structure, and advances development policies under environmental circumstances.

show abstract

Section: Value-added Industriesmentioning

confidence: 99%

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Besides, with the deepening of GVC (global value chain) participation, the positive impact of the GVC division on EEE became even stronger. Based on STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model, the empirical results of Wang et al (2020) confirmed the importance of technological progress to embodied carbon emission in China's high-and new-technology industries.…”

Section: Nexus Between Economic Complexity and Carbon Emissionsmentioning

confidence: 76%

“…By referring to existing studies related to the driving factors of trade-embodied carbon emissions (Islam et al, 2016;Fei et al, 2020;Wang et al, 2020), a dynamic panel regression model that incorporates the lagged dependent variable has been established to examine the impact of economic complexity on EEE and EEI as Eqs. ( 1) and (2):…”

Section: Regression Frameworkmentioning

confidence: 99%

“…Meanwhile, some studies have attempted to examine the driving factors of EET. For example, EET could vary with GDP (Islam et al 2016), total population (Islam et al 2016;Huang and Zhao 2018), technological level (Wang et al 2020), trade openness (Islam et al 2016), trade structure (Wang et al 2019), financial development (Huang and Zhao 2018), trade in intermediate goods (Fei et al 2020), and so on. However, as far as we know, no study has examined the determinants of EET comprehensively at the empirical level.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The impact of economic complexity on embodied carbon emission in trade: new empirical evidence from cross-country panel data

Qayyum

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

Establishing a fair platform for allocating carbon emission responsibility worldwide determines the sustainability and efficiency of the world’s climate policy and framework. In the context of global environmental load displacement and CO2 transfer, this paper endeavors to examine the relationship between economic complexity and embodied carbon emissions based on cross-country panel data. Our study utilizes the generalized method of moments (GMM) approach to estimate our dynamic models covering 34 OECD countries and 24 non-OECD countries from 1995 to 2015. The empirical results show a heterogeneous impact of economic complexity on embodied carbon emissions in exports (EEE) and imports (EEI). Besides, the scale effect, composition effect, and technology effect are also significant drivers of embodied carbon emissions. The improvement of economic complexity can decrease the marginal effects of export scale and export structure on foreign EEE (but not domestic EEE) significantly, while the marginal positive impacts of technology on EEE can be further enhanced by economic complexity growth. Moreover, there is no strong evidence to prove the significant indirect impacts of economic complexity on foreign carbon emission embodied in imports, while economic complexity has significantly positive indirect impacts on domestic carbon emission embodied in imports only through import scale. In the subsample regressions, we found asymmetric impacts of economic complexity between high-income countries and low- and middle-income countries.

show abstract

“…These estimations may imply that industrial sectors of developing economies may be weaker compared to developed economies. The effect of C-LF becomes higher significant (p<.1) at quantile Q25, so the energy consumption of developing countries increased by technological progress [80]. The industrial revolution is playing a vital role in economic growth.…”

Section: Discussionmentioning

confidence: 99%

Agricultural production and CO2 emissions causes in the developing and developed countries: New insights from quantile regression and decomposition analysis

Khan

2020

Preprint

View full text Add to dashboard Cite

Agriculture is the dominant economic activity of the economies. The developing and developed countries are responsible for the most greenhouse gasses emitted in the developing areas. Are there heterogeneous determinants of environmental degradation and CO2 emitters in developing and developed countries? and estimating the significance of agricultural production, renewable energy consumption, the industrial revolution, and economic growth. In this study, 22 countries’ environmental degradation analyze by two (per-capita and liquid) sources of CO2 emissions and using panel data from 1991 through 2016. This study adopts a panel regression (non-additive effects) and quantile regression techniques to explore the connection between agriculture and economic factors. And the extent of the CO2 emitter gap between developing and developed countries. The outcome of agriculture has a positive and significant influence on CO2 emission from liquid with a 36.75% increase in environmental degradation and a negative impact on CO2 emission in the total emissions by 19.12%. The agriculture-related activities negatively influence the environment, such as deforestation for feed cropping, burning of biomass, and deep soil cropping in the developing countries. Furthermore, the quantiles decomposition procedure in agriculture production is signifying heterogeneity of the determinants of environmental degradation, low and high CO2 emitters.

show abstract

Export trade, embodied carbon emissions, and environmental pollution: An empirical analysis of China's high- and new-technology industries

Cited by 106 publications

References 49 publications

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

The impact of economic complexity on embodied carbon emission in trade: new empirical evidence from cross-country panel data

Agricultural production and CO2 emissions causes in the developing and developed countries: New insights from quantile regression and decomposition analysis

Contact Info

Product

Resources

About