The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model

Huang, Junbing; Liu, Qiang; Cai, Xiaochen; Hao, Yu; Lei, Hongyan

doi:10.1016/j.enpol.2017.12.008

Cited by 154 publications

(56 citation statements)

References 42 publications

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“…Because the effect of carbon intensity can be further decomposed, four parts of carbon intensity's effect caused by S, SR,ES, and IND are calculated, and the results are presented in Table 4. Both over the short-term and the long-term, S was one of the most important driving factors of carbon reduction and consistently reduced carbon emissions over the 2005-2014 period, consistent with many previous studies that highlighted technological progress as one of the most significant factors affecting carbon intensity or carbon productivity Dong et al, 2016;Huang et al, 2018;Zhu et al, 2014).…”

Section: Effects Of Driving Factors On China's Carbon Emissionsupporting

confidence: 89%

“…Following previous studies, it was found that technology, energy consumption structure, and industrial structure are the main factors influencing carbon emissions (Zhu et al, ; Dong et al, ; Huang, Liu, Chen, Huang, & Hao, ; Huang, Zheng, Wang, & Cai, ). Huang et al () adopted an ordinary panel model to analyze the relationship between carbon intensity and several main influencing factors and found that technological progress has a significant negative relationship with carbon intensity, whereas energy consumption structure and industrial structure have significant positive relationships with carbon intensity.…”

Section: Methodsmentioning

confidence: 99%

“…Second, many studies ignored spatial effects caused by technological progress. Actually, the research provided by Long, Shao, and Chen (), Cheng et al (), and Huang, Liu, Cai, Hao, and Lei () showed that there were significant spatial effects of carbon emission indicators such as carbon intensity and productivity in various regions. Hence, technological progress in adjacent areas may have significant influence on local technological progress and local carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Actually, the research provided by Long, Shao, and Chen (2016), Cheng et al (2018), and Huang, Liu, Cai, Hao, and Lei (2018) showed that there were significant spatial effects of carbon emission indicators such as carbon intensity and productivity in various regions.…”

mentioning

confidence: 99%

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Different effects of technological progress on China's carbon emissions based on sustainable development

Chen

Gao

et al. 2019

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In this paper, we respectively decompose and study different effects of technological progress on carbon emissions in China based on the combination of the logarithmic mean Divisia index method, the Solow residual model, and spatial econometrics. Furthermore, we propose an improved approach to estimate the rebound effect index. By comparing the different effects of technological progress on carbon emissions, our results indicate that China's overall domestic technological progress reduced its carbon emissions over this period. As for the rebound effect index, the estimated results are higher than in previous studies because of the spatial rebound effect, which was ignored by previous studies. Regionally, although the eastern region had high rebound effects, the western region is at the greatest risk from the rebound effects. Finally, we present specific environmental policy proposals for China's sustainable development based on empirical results. KEYWORDS carbon emissions;logarithmic mean Divisia index, rebound effect, spatial econometrics, sustainable development, technological progress

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Section: Effects Of Driving Factors On China's Carbon Emissionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Different effects of technological progress on China's carbon emissions based on sustainable development

Chen

Gao

et al. 2019

Bus Strat Env

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“…First, by using three city-level datasets, this study examines the relationship between urbanization and CO 2 emissions and pays particular attention to the moderating effect of innovation on the relationship between urbanization and CO 2 emissions in China's three major urban agglomerations, which are the core areas for urbanization and innovation in China. However, a single indicator is unlikely to allow a complete understanding of and to capture the effect of urbanization and innovation on CO 2 emissions [29,30]. Therefore, this study first establishes a comprehensive index system for urbanization and innovation using the entropy method.…”

Section: Study Areamentioning

confidence: 99%

The Moderating Effect of Innovation on the Relationship between Urbanization and CO2 Emissions: Evidence from Three Major Urban Agglomerations in China

et al. 2019

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This study investigates the relationship between urbanization, innovation, and CO2 emissions, with particular attention paid to the issue of how innovation influences the effect of urbanization on CO2 emissions in urban agglomerations, considering the spatial spillover effect between cities. Therefore, based on panel data on 48 cities in the three major urban agglomerations in China from 2001–2015, a spatial econometric model is used to estimate the effect of urbanization and innovation on CO2 emissions. The empirical results indicate that the relationship between urbanization and CO2 emissions follows a U-shaped curve in the Beijing-Tianjin-Hebei (BTH), an N-shaped curve in the Yangtze River Delta (YRD) and an inverted N-shaped pattern in the Pearl River Delta (PRD). Additionally, innovation shows a significantly positive effect on reducing CO2 emissions in the YRD, but does not exert a significantly direct effect on CO2 emissions in the BTH and the PRD. More importantly, innovation played an important moderating role between urbanization and CO2 emissions in the YRD and PRD, suggesting that reducing the positive impacts of urbanization on CO2 emissions depends on innovative development. In addition, urban CO2 emissions presented a clearly negative spatial spillover effect among the cities in the three urban agglomerations. These findings and the following policy implications will contribute to reducing CO2 emissions.

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Anti‐money laundering regulations and financial sector development

et al. 2020

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This paper is aimed at establishing the effect of anti-money laundering regulations on financial sector development across the globe. Using data from 2012 to 2018 across 165 economies across different continents, income levels and regulatory environments, we test a number of complex and related hypotheses. (a) We examine the effect of anti-money laundering regulations on financial sector development. (b) We examine if this effect differs across developing and developed economies. (c) We examine the nonlinearities in the anti-money laundering regulations-financial sector development nexus. We use the Prais-Winsten approach and the panel threshold estimation approaches to test our hypothesized relationships. We find evidence that anti-money laundering regulations generally promote financial sector development; however, this positive effect is concentrated in developing economies. We also find evidence of threshold effects of anti-money laundering regulations for our sample. Consistent with the earlier findings, the positive effect of anti-money laundering regulations on financial development is concentrated in countries below the threshold value of anti-money laundering regulations. These countries are mostly developing countries. Our findings suggest that strengthening antimoney laundering regulations will be beneficial to developing countries.

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The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model

Cited by 154 publications

References 42 publications

Different effects of technological progress on China's carbon emissions based on sustainable development

Different effects of technological progress on China's carbon emissions based on sustainable development

The Moderating Effect of Innovation on the Relationship between Urbanization and CO2 Emissions: Evidence from Three Major Urban Agglomerations in China

Anti‐money laundering regulations and financial sector development

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