scholarly journals How to Promote Low-Carbon Economic Development? A Comprehensive Assessment of Carbon Tax Policy in China

2021 ◽  
Vol 18 (20) ◽  
pp. 10699
Author(s):  
Weijiang Liu ◽  
Yangyang Li ◽  
Tingting Liu ◽  
Min Liu ◽  
Hai Wei
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Tax Neutrality ◽  
Exploitation And Utilization ◽  
The Impact

Facing the increasingly severe environmental problems, the development of a green and sustainable low-carbon economy has become an international trend. In China, the core issue of low-carbon economic development is effectively resolving the contradiction between the exploitation and utilization of fossil energy and greenhouse gas emissions (mainly carbon emissions). Based on the SAM matrix, we established a static Computable General Equilibrium (CGE) model to simulate the impact of carbon tax policies on energy consumption, carbon emissions, and macroeconomics variables under 10, 20, and 30% emission reductions. Meanwhile, we analyze the impact of different carbon tax recycling mechanisms under the principle of tax neutrality. We find that the carbon tax effectively reduces carbon emissions, but it will negatively impact economic development and social welfare. A reasonable carbon tax recycling system based on the principle of tax neutrality can reduce the negative impact of carbon tax implementation. Among the four simulated scenarios of carbon tax cycle, the scenario of reducing residents’ personal income tax is most conducive to realizing the “double dividend” of carbon tax.

scholarly journals The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Evaluation Framework ◽  
Socioeconomic Impacts ◽  
Policy Effects ◽  
Distributed Lag

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.

scholarly journals Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

2019 ◽  
Vol 11 (16) ◽  
pp. 4387 ◽  
Author(s):  
Lin ◽  
Zhang ◽  
Wang ◽  
Yang ◽  
Shi ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Search Algorithm ◽  
Urban Traffic ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Urban Distribution ◽  
The Impact

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

Construction of Rural Financial System Based on the Concept of Low Carbon Economy

2014 ◽  
Vol 687-691 ◽  
pp. 4478-4481 ◽  
Author(s):  
Lei Yu
Keyword(s):  
Carbon Emissions ◽  
Agricultural Production ◽  
Influence Factors ◽  
Impact Factors ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Development Path ◽  
The Impact ◽  
The Empirical Analysis ◽  
Carbon Economy

Based on rural as research object, this paper mainly combines the local rural development present situation to measure rural carbon emissions, and with the help of Kaya model respectively. The rural residents' energy consumption and carbon emissions are generated by the impact factors of agricultural production LMDI decomposition. And it established the cointegration model of influence factors of the carbon in the empirical analysis. It seek a accord with the actual situation of rural low carbon economy development path.

scholarly journals The Effect of Product-Harm Crises on the Financial Value of Firms under the Concept of Green Development

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Songsong Li ◽  
Yaopan Yang ◽  
Dong Zhang
Keyword(s):  
Brand Equity ◽  
Stock Prices ◽  
Firm Value ◽  
Negative Impact ◽  
Product Recalls ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Green Development ◽  
Negative Effect ◽  
The Impact

Product-harm crises can trigger product recalls or product discards, which is very likely to cause secondary pollution to the environment. Also, these crises may harm customers’ health and threaten firms’ survival. To foster low-carbon economy and green development in such complex systems, this paper studies the internal mechanism of the product crisis and its impact on the firm value. It proposes a two-stage model to avoid the endogeneity of product-harm crises. In the first stage, this paper assesses the effect of firms’ leverage on their capacity to produce higher quality products. In the second stage, this paper conducts the impact of these crises on stock prices. Then, it depicts the financial effects of product-harm crises over time, and analyzes the differences of such effects based on brand equity. Results show that book leverage can positively impact firms’ capacity to produce high-quality products. In addition, the market’s response to product-harm crises is significant at 1% level, and with the increase in severity, the market reaction is more prominent. Furthermore, its negative effect is persistent for a firm experiencing a severe crisis. Luckily, brand equity can mitigate this negative impact. These findings provide some ways to improve product performance and firm value in the green context.

Tax Policy to Reduce Carbon Emissions in a Distorted Economy: Illustrations from a South Africa CGE Model

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Shantayanan Devarajan ◽  
Delfin S Go ◽  
Sherman Robinson ◽  
Karen Thierfelder
Keyword(s):  
South Africa ◽  
Developing Countries ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Alternative Energy ◽  
Carbon Tax ◽  
Cge Model ◽  
Administrative Capacity ◽  
The Cost ◽  
The Impact

Abstract Noting that developing countries may not have the administrative capacity to levy a “pure” carbon tax, we compare the impact of alternative energy taxes with that of a carbon tax in an economy with multiple distortions. We use a disaggregated computable general equilibrium (CGE) model of the South African economy and simulate a range of tax policies that reduce CO2 emissions by 15 percent. Consistent with a “first-best” economy, a carbon tax will have the lowest marginal cost of abatement. But the relationship between a tax on energy commodities and one on pollution-intensive commodities depends critically on other distortions in the system and on structural rigidities in the economy. We demonstrate that if South Africa were able to remove distortions in the labor market, the cost of carbon taxation would be negligible. We conclude that the welfare costs of taxing carbon emissions in developing countries depend more on other distortions than on the country’s own carbon emissions.

scholarly journals The Good, the Bad and the Uncertain: Bioenergy use in the European Union

2018 ◽  
Author(s):  
George Philippidis ◽  
Heleen Bartelings ◽  
John Helming ◽  
Robert M'barek ◽  
Edward Smeets ◽  
...  
Keyword(s):  
Computable General Equilibrium ◽  
Agricultural Land ◽  
Public Support ◽  
Computable General Equilibrium Model ◽  
Low Carbon ◽  
The European Union ◽  
Advanced Biofuels ◽  
Low Carbon Economy ◽  
Trade Offs ◽  
The Impact

As the EU is moving towards a low carbon economy and seeks to further develop its renewable energy policy, this paper quantitatively investigates the impact of plausible energy market reforms from the perspective of bio-renewables. Employing a state-of-the-art biobased variant of a computable general equilibrium model, this study assesses the perceived medium-term benefits, risks and trade-offs which arise from an advanced biofuels plan, two exploratory scenarios of a more 'sustainable' conventional biofuels plan and a 'no-mandate' scenario. Consistent with more recent studies, none of the scenarios considered present significant challenges to EU food-security or agricultural land usage. An illustrative advanced biofuels plan simulation requires non-trivial public support to implement whilst a degree of competition for biomass with (high-value) advanced biomass material industries is observed. On the other hand, it significantly alleviates land use pressures, whilst lignocellulose biomass prices are not expected to increase to unsustainable levels. Clearly, these observations are subject to assumptions on technological change, sustainable biomass limits, expected trends in fossil fuel prices and EU access to third-country trade. With these same caveats in mind, the switch to increased bioethanol production does not result in significant market tensions in biomass markets.

scholarly journals The Impact of Carbon Tax Application on the Economy and Environment of Indonesia

2018 ◽  
Vol 4 (1) ◽  
pp. 110-120
Author(s):  
Putri Ayu
Keyword(s):  
Crude Oil ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Private Household ◽  
Baseline Scenario ◽  
Household Demand ◽  
The Government ◽  
The Impact

Abstract As the most efficient market with a mitigation instrument basis, carbon tax is highly recommended by economists and international organizations. This paper examines the impact of implementing carbon tax policy on value of change in GDP, GDP Quantity Index, Government Household Demand, Private Household Demand, and CO2emission effects in Indonesia by using the dynamic energy Computable General Equilibrium (CGE) model. This study used GTAP-E that was part of GTAP 9 in 2011. GTAP-E consists of 140 countries and 57 sectors aggregated into eleven regions and eight sectors. There were three scenarios of carbon tax used in this paper that were China, Singapore, and India. The result shows that both GDP and GDP index have a negative impact due to the carbon tax of US $20/tCO2, US$ 10/tCO2, and US $1.60/t CO2. The greater the application of the carbon tax is, the greater the decrease of values of GDP, Government Household Demand, Private Household Demand towards carbon tax policies in Indonesia are. The negative impact of carbon tax is greater for the Private Household Demand that is indicated by all commodities except crude oil has decreasing demand from baseline scenario (no tax). While in the Government Household Demand, agriculture sector, crude oil, refined oil product, and other industries, carbon tax has a positive impact. In the environmental facet, if the carbon tax in Indonesia is implemented in accordance with the above simulation, then it appears that carbon tax can reduce emissions of CO2.

scholarly journals Opportunities and Challenges of China’s Low-Carbon Economic Development in the New Era

2021 ◽  
Vol 275 ◽  
pp. 02058
Author(s):  
Zhang Chen ◽  
Tong Yixuan
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Driving Factors ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
Low Carbon ◽  
New Era ◽  
Low Carbon Economy ◽  
Man And Nature ◽  
Carbon Economy

In the context of the increasingly severe global greenhouse effect, the “14th Five-Year Plan” proposes to “promote green development and promote harmonious coexistence between man and nature”, which provides a new platform for the faster and better development of low-carbon countries. The low-carbon economy has entered a high-quality stage of China’s economic development in the new era, which is of great significance to the overall green transformation of China’s economic and social development. In order to assess the development level of China’s low-carbon economy, this paper estimates the carbon emissions and carbon emission intensity of energy consumption from 2008 to 2017 and applies the LMDI model to decompose the influencing factors of carbon emissions, analyzes the contribution rate of driving factors, and proposes energy saving, emission reduction and low carbon. Developmental countermeasures. The results show that economic growth and energy intensity are the biggest driving factors for promoting and suppressing carbon emissions, respectively. Measures are taken to improve energy structure, increase utilization efficiency, develop low-carbon industries, and promote low-carbon life.

scholarly journals Analysis of the Spatial Effect of Fiscal Decentralization and Environmental Decentralization on Carbon Emissions under the Pressure of Officials’ Promotion

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1878
Author(s):  
Sailian Xia ◽  
Daming You ◽  
Zhihua Tang ◽  
Bo Yang
Keyword(s):  
Environmental Protection ◽  
Carbon Emissions ◽  
Fiscal Decentralization ◽  
Mainland China ◽  
Assessment System ◽  
Low Carbon ◽  
Positive Role ◽  
Local Conditions ◽  
Low Carbon Economy ◽  
The Impact

Using panel data of 30 provinces and regions in Mainland China (excluding Tibet) from 2006 to 2016, the Spatial Durbin Model was employed for the empirical research, and the spatial impact of fiscal decentralization and environmental decentralization on regional carbon emissions were analyzed from the perspective of promotion pressure of officials. The empirical study concludes: ➀ Fiscal decentralization, both within the region and in its neighborhood, will contribute to carbon emissions in the region; ② Environmental decentralization will help reduce carbon emissions, while environmental decentralization in neighboring regions will increase carbon emissions in the region; ③ The promotion pressure of officials plays a positive role in moderating the impact of fiscal decentralization on carbon emissions, and at the same time weakens the suppression of carbon emissions by environmental decentralization; ④ From a regional point of view, there is a positive relationship between fiscal decentralization and carbon emissions in various regions; but environmental decentralization has obvious spatial heterogeneity. The research suggests that reducing the degree of local fiscal decentralization, investment in major infrastructure projects involving high carbon emissions should be relatively centralized; appropriately increase the environmental management authority of local environmental protection agencies, fully use the advantages of local environmental protection departments to protect the environment according to local conditions; gradually improve the assessment system for local officials, moderately reduce the proportion of fiscal revenue and GDP assessment in areas with fragile ecological environment, and increase incentives for ecological performance assessment, put the development of low-carbon economy into practice.

Grey Relational Analysis on the Relationship between Economic Development and Carbon Emissions in Hubei Province

2014 ◽  
Vol 1073-1076 ◽  
pp. 2641-2647
Author(s):  
Yan Wen Liu ◽  
Zhi Chen ◽  
Xia Zhou
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Grey Relational Analysis ◽  
Hubei Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Relational Analysis ◽  
Correlation Degree ◽  
Grey Relational ◽  
The Relationship

The problem about promoting the rapid economic growth while effectively reducing CO2 emission has aroused great attention of scholars both at home and abroad. Researches show that there are differences in the relationship between economic development and carbon emissions in the different historical stages of the different regions. This paper took Hubei Province as the survey region, by means of the decomposition model of CO2 emissions, accurately calculated CO2 emissions from 2001 to 2010 in Hubei Province, selected Hubei Province’s GDP and the three industries’ GDP as indicators of economic development, used the method of grey relational analysis to calculate grey correlation degree of Hubei Province’s GDP, three major industries’ GDP and CO2 emissions, carried on the comparative analysis of the relationship between economic development and CO2 emissions of Hubei Province in combination with China’s corresponding results, specifically put forward policy suggestions on energy conservation and emissions reduction in Hubei Province, so as to provide the theoretical reference for the development of low carbon economy in Hubei Province.

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