How to set the proper level of carbon tax in the context of Chinese construction sector? A CGE analysis

Shi, Qingwei; Hong, Ren; Cai, Weiguang; Gao, Jixiang

doi:10.1016/j.jclepro.2019.117955

Cited by 96 publications

(25 citation statements)

References 31 publications

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“…Given the substantial difference in climate between the north and south regions, 15 regions in the north belong to the district heating area, whereas 15 regions in the south belong to the distributed heating area (Figure 3) [41]. According to the characteristics of energy consumption, the energy consumed in the northern region is divided into four categories, namely, liquefied petroleum gas, natural gas, electricity, and heat [42]. Similarly, the energy consumed in the southern region is divided into four categories, namely, coal, liquefied petroleum gas, natural gas, and electricity.…”

Section: Carbon Emissions and Intensities Of Urbsmentioning

confidence: 99%

Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China

et al. 2020

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The role of urban residential buildings (URBs) in the carbon reduction goal of China is becoming increasingly important because of the rising energy consumption and carbon emission of such buildings in the region. Considering the increasing spatial interaction of the carbon emission of URBs (URBCE) in the region, this study investigates the influence of climate and economic factors on the URBCE in North and South China. First, the URBCE is calculated by using a decomposition energy balance table based on the carbon emission coefficient of electric and thermal power, thereby improving the estimation of the basic data of URBCE. Second, the influence of economic and climatic factors on the URBCE intensity in 30 provinces of China is explored by using a spatial econometric model. Results show that the URBCE intensity in China had a spatial autocorrelation from 2000 to 2016. Climatic and economic factors have great differences in the degree and direction of influencing the URBCE intensity in the country. Formulating emission reduction policies for climate or economic zones is more scientific and effective than developing national policies. Among these factors, urbanization rate, climate, and GDP per capita have a significant positive impact on the URBCE intensity in the region, whereas other factors have varying degrees of negative impact. In addition, climate, consumption level, and building area have significant spatial spillover effects on URBCE intensity, whereas other factors do not pass the significance test. Relevant conclusions should be given special attention by policymakers.

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Section: Carbon Emissions and Intensities Of Urbsmentioning

confidence: 99%

Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China

et al. 2020

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“…They studied the impact of different carbon emission prices on the decision to reduce emissions in the cement supply chain. Shi et al [ 21 ] discussed the possible impact of different carbon tax conditions on the energy consumption and macroeconomics of China’s construction industry. The results showed that a reasonable carbon tax rate varies with the construction stage.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Due to the varied types and amounts of energy consumption by different industries, some researchers have proposed a differential carbon tax. They focus on finding a balance point between the sustainable development of the industry and the realization of carbon emission reduction targets [ 21 , 24 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes

Yan

Huang

et al. 2021

IJERPH

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The development of low-carbon buildings (LCBs) in China has not reached its expected status, although the Chinese government has formulated many relevant regulations. The real estate developers and consumers are essential participants in the development of LCBs. This paper explores whether the government’s implementation of the carbon tax will change their choices of LCBs. Evolutionary game models between developers and consumers are established under static and dynamic carbon taxes. Their evolutionarily stable strategies (ESS) are deduced in different situations. According to the real scenarios in China, numerical simulations are further conducted to show that carbon tax influences the low-carbon behaviors of stakeholders in the construction industry. Under a static carbon tax, the two players cannot reach an equilibrium state, while the game system is stable under a dynamic tax. The probability of the developers constructing LCBs is positively related to the carbon tax, while its degree is gradually weakened as the tax rate increases. Therefore, an appropriate tax should be set to promote the development of LCBs effectively. Finally, policy implications are put forwarded to guide the participants’ low-carbon behaviors and reduce the carbon emissions in the Chinese construction industry.

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“…Notably, the total value of carbon sinksas with any goods and servicesdepends on how and when the carbon price is set. Currently, carbon tax prices are not uniform (Ullman, Bilbao-Bastida, and Grimsditch 2013;Shi et al 2019;WB, 2019). According to the data provided by the World Bank, carbon taxes in developing countries are generally low.…”

Section: Loss Of Carbon Sink In Coastal Wetlands Caused By Coastal Ermentioning

confidence: 99%

Analysis of intrinsic value and estimating losses of “blue carbon” in coastal wetlands: a case study of Yancheng, China

Zang

2019

Ecosyst Health Sustain

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Introduction: Large stocks of "blue carbon" exist in the ecosystems of coastal wetlands. This paper presents a case study of the Chinese city of Yancheng. First, through field surveys and laboratory analysis, changes in the organic carbon (OC) content in typical plant communities throughout the study area are described in detail. Second, an OC burial rate and economic value model is constructed to analyze the composition of the carbon sink values. Outcomes/other: The results are as follows: Of the typical plant communities, Spartina alterniflora has the highest OC content (5.80 g•kg-1), followed by Suaeda glauca (4.78 g•kg-1) and Phragmites australis (3.76 g•kg-1); the contemporary OC sedimentation rates are 2.01, 1.48, and 1.22 cm•yr-1, respectively. Spartina alterniflora communities have the highest annual average carbon sink value ($418.74/ha) in the study area, followed by Phragmites australis ($176.29/ha) and Suaeda glauca ($101.54/ha). Discussion: As a result of both the expansion of the Spartina alterniflora area and coastal erosion, the total OC value since 1987 has displayed two-stage characteristics: it first increased and then decreased. Conclusion: In recent years, the annual average

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How to set the proper level of carbon tax in the context of Chinese construction sector? A CGE analysis

Cited by 96 publications

References 31 publications

Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China

Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China

Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes

Analysis of intrinsic value and estimating losses of “blue carbon” in coastal wetlands: a case study of Yancheng, China

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