Research on Environmental Tax to Affect the Economic Development and GHG Mitigation in Beijing, China

2014 ◽  
Vol 522-524 ◽  
pp. 1871-1878 ◽  
Author(s):  
Yu Zou ◽  
Jun Nian Song ◽  
Takeshi Mizunoya ◽  
Helmut Yabar ◽  
Yoshiro Higano

As the most industrialized and urbanized region, Beijing plays as a demonstration role to show the impact of environmental policies on the economy development and GHG mitigation. In this paper, we constructed a dynamic input-output model introducing the different levels of environmental taxes. It not only can choose the optimal tax level, explore the relationships between economy and environment, but also can analyze the future trends of the economy and GHG intensity from 2010 to 2025. The objective function is the maximized GRP, subject to GHG emissions constraint and a series of subjective functions. The simulation results illustrated that with the GHG emissions constraint as 1.5 times of the 2010 level, carbon tax as 50 CNY/t CO2-e is effective to promote the economic development and GHG emissions mitigation. Annual growth rate of GRP can be up to 6.1%. The economic growth rate increases 0.3% compared with the condition when not introducing the policies. In 2025, the GHG intensity will be 43.5 t CO2-e/million CNY, 38.8% reduced compared with the 2010 level. This research proves that the proposed environmental tax is effective to promote the economic development and GHG mitigation.

2021 ◽  
Vol 13 (24) ◽  
pp. 13530
Author(s):  
Anh Quynh Tang ◽  
Takeshi Mizunoya

When it comes to greenhouse gas (GHG) mitigation, both bottom-up and top-down policies have limitations. Bottom-up policies are region-specific and cannot be applied at the national level. Top-down policies may not balance the considerations of economic growth and the environment. Therefore, a combined approach is necessary. This Vietnamese case study investigates optimal GHG mitigation options for both economic development and emission reduction by simulating four scenarios characterized by the different carbon tax and subsidy rates. Interventions, like replacing old buses with low-carbon buses and conventional electricity generation with solar power, are considered in a dynamic input–output framework. The objective function is Green GDP—industries’ total value added reflecting GHG emissions’ social cost. The simulation model comprises four cases: business as usual, low subsidy rate (up to 10%), medium subsidy rate (up to 20%), and high subsidy rate (up to 30%), which are analyzed on parameters, including economic development, GHG emissions, and development of innovative sectors, like transportation and electricity. In three cases with different subsidy rates, the optimal carbon tax is simulated at the rate of USD 1/tCO2 equivalent, the lowest rate among the world’s current carbon prices. In addition, the medium subsidy (up to 20%) option yields the most competent scheme, with the highest GHG emission reduction and economic development effectiveness.


Author(s):  
O. Kuzmenko ◽  
A. Boiko ◽  
V. Levchenko

The paper formalizes the system of restrictions and national security targets. The proportion of budgetary resources allocated for implementing the environmental tax reform was chosen as quantitative restrictions. The effective indicator is the level of national security. The time limit was established based on the study of the period of delay of the expected impact of changes in the system of administration, payment, and distribution of the environmental tax on national security. The formalization of quantitative restrictions and national security targets was carried out using structural modeling. This method was based on the following logic: the impact of the growth rate of the environmental tax on national security, the impact of the growth rate of the environmental tax on budget revenues, the impact of budget revenues on the national security of Ukraine. In this case, the level of environmental taxes is chosen as an exogenous latent variable, described using an explicit exogenous variable – the increase in revenues from the environmental tax. The following endogenous latent variables were selected: a highly effective mechanism for ensuring national security and the share of budgetary resources aimed at implementing tax reform). Each endogenous latent variable is described using one endogenous explicit variable: the level of national security and, accordingly, revenues of the consolidated budget of Ukraine. In turn, the definition of time constraints and national security targets occurs in the following sequence: 1) adaptation of the Foster-Stewart method for verifying the stationarity of the time series of mean values from binary values; 2) construction of non-linear multivariate regression and testing the hypothesis about the time constraint. Based on practical calculations, it has been established that national security requires a radical transformation of the entire system of administration, distribution, and establishment of the level of the tax burden. At the same time, budget expenditures on tax reform should not exceed 18%. However, these reforms should be implemented in one year since it has been proven that a temporary limitation of the level of national security is the annual value of the reform of the environmental taxation system.


Author(s):  
Borys Zanko

The article considers the main aspects of collecting environmental tax. Collection of environmental taxes is one of the means that can restrain the process of deteriorating environmental conditions, and in some cases improve the environmental situation. The article also examines the impact of environmental taxation on improving the environmental situation. The role of the environmental tax at financing of nature protection measures is considered. There are critical remarks of some scientists who point out that the availability of revenues from the environmental tax is not a guarantee of sufficient funding for environmental measures. Attention is paid to the risks of environmental taxation, which are associated with reduced solvency and financial stability of environmental taxpayers who pollute the environment. The classification of environmental taxes is considered, which is built depending on the purposes for which the amounts received as a result of taxation are directed. The essence of the environmental tax levied in Ukraine is investigated. The article analyzes the norms of the Tax Code of Ukraine, which regulate the object of taxation with an environmental tax. Factors influencing the amount of environmental tax to be paid to the budget are studied. First of all, these are the factors that lead to an increase in the tax base. In addition, higher environmental tax rates, which are set by the Tax Code of Ukraine for more hazardous pollutants, also affect the amount of environmental tax to be paid to the budget. The amount of environmental tax paid to the budget is also increased by special coefficients used in calculating the tax liability. It is proposed to apply tax benefits related to the construction of treatment facilities and the installation of treatment equipment when collecting environmental tax. The essence of the proposed environmental tax benefits is that the environmental taxpayer will be able to reduce part of the tax liability. This reduction is carried out by the amount of depreciation of fixed assets, which directly carry out the treatment of pollutant emissions into the atmosphere, discharges of pollutants into water bodies, etc. Some aspects of environmental tax accounting are considered.


2021 ◽  
Vol 95 ◽  
pp. 01007
Author(s):  
Daniela – Lavinia Balasan ◽  
Dragoş Horia Buhociu

When we talk about economic development, we can refer to improve the standard of living and the prosperity of the population. This is due by increasing per capita income. In order to analyze economic activity, severe indicators must be studied, namely productivity, economic growth rate, labour force share, gross domestic product. In order to carry out as accurate an analysis as possible, it is required to discover the bottlenecks and problems that Region 2 South East makes and to develop a set of reservations and indications leading to the reduction and, why not, the removal of negative aspects. The main purpose of this work is to achieve a strategic plan by studying the current state and the impact of the economic system in recent times in all its forms, with a view to the development of the countryside of Region 2 South – East. I set out to create a website based on the advice of small rural entrepreneurs that evolves gathering information in realistically identifying all the strengths and concentrating them in the region’s potential innovation.


Author(s):  
Lindsey Kahn ◽  
Hamidreza Najafi

Abstract Lockdown measures and mobility restrictions implemented to combat the spread of the novel COVID-19 virus have impacted energy consumption patterns, particularly in the United States. A review of available data and literature on the impact of the pandemic on energy consumption is performed to understand the current knowledge on this topic. The overall decline of energy use during lockdown restrictions can best be identified through the analysis of energy consumption by source and end-user breakdown. Using monthly energy consumption data, the total 9-months use between January and September for the years 2015–2020 are calculated for each end-use. The cumulative consumption within these 9 months of the petroleum, natural gas, biomass, and electricity energy by the various end-use sectors are compared to identify a shift in use throughout time with the calculation of the percent change from 2019 to 2020. The analysis shows that the transportation sector experienced the most dramatic decline, having a subsequent impact on the primary energy it uses. A steep decline in the use of petroleum and natural gas by the transportation sector has had an inevitable impact on the emission of carbon dioxide and other air pollutants during the pandemic. Additionally, the most current data for the consumption of electricity by each state and each end-user in the times before and during the pandemic highlights the impact of specific lockdown procedures on energy use. The average total consumption for each state was found for the years 2015–2019. This result is used calculation of yearly growth rate and average annual growth rate in 2020 for each state and end-user. The total average annual growth rate for 2020 was used to find a correlation coefficient between COVID-19 case and death rates as well as population density and lockdown duration. To further examine the relationship a correlation coefficient was calculated between the 2020 average annual growth rate for all sectors and average annual growth rate for each individual end-user.


Author(s):  
Sudhi Sharma ◽  
Miklesh Prasad Yadav ◽  
Babita Jha

The paper aims to analyse the impact of the COVID outbreak on the currency market. The study considers spot rates of seven major currencies (i.e., EUR/USD, USD/JPY, GBP/USD, AUD/USD, USD/CAD, USD/CHF, and CHF/JPY). To capture the impact of the outbreak on returns and the volatility of returns of seven currencies during pandemic, the study has segregated in two window periods (i.e., pre- [1st Jan 2019 to 31st Dec, 2019] and post-outbreak of COVID-19 [1st Jan, 2020 to 22nd Dec, 2020]). The study has applied various methods and models (i.e., econometric-based compounded annual growth rate [CAGR], dummy variable regression, and generalized autoregressive conditional heteroskedasticity [GARCH]). The result of the study captures the negative impact of the COVID-19 pandemic on three currencies—USD/JPY, AUD/USD, and USD/CHF—and positive significant impact on EUR/USD, GBP/USD, USD/CAD, and CHF/JPY. Investors can take short position in these while having long position in other currencies. The inferences drawn from the analysis are providing insight to investors and hedgers.


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4068 ◽  
Author(s):  
Peng Hou ◽  
Yilin Li ◽  
Yong Tan ◽  
Yuanjie Hou

The empirical conclusions regarding the relationship between energy price and energy efficiency are relatively mixed. This paper systematically examines the influence of energy price on energy efficiency in China based on data from 30 provinces between 2003 and 2017, using linear and nonlinear effect analysis. We found that the impact of energy price on energy efficiency in China was positive in general. However, there existed heterogeneous effects of energy price on energy efficiency in various regions, and the effect differed with differences in energy efficiency levels based on the panel quantile regression analysis. Finally, the nonlinear effect analysis based on the panel threshold model indicated that the effect of energy price on energy efficiency increased with the rise of the environmental regulation level and economic growth rate, while it decreased with the ascent of the degree of energy price distortion and economic development level. In particular, when the value of a region’s economic development level and economic growth rate was within a certain range, the impact was not statistically significant. Overall, these findings contribute to a deeper understanding regarding the effect of energy price on energy efficiency in China.


Author(s):  
Huifeng Li ◽  
Xuanwei Zhang

Since the industrial age, along with the promotion of economic development, problems of ecological destruction and environmental pollution are becoming more serious. To solve this problem, the implementation of environmental tax is an effective measure. Based on the analysis of the theoretical foundation of environmental taxes, international practice and experience in environmental tax system, in this paper, the authors describe the status quo of China’s environmental tax system, and frames the further step strategy in building China’s environmental tax system.


2019 ◽  
Vol 11 (14) ◽  
pp. 3928 ◽  
Author(s):  
Lin Ma ◽  
Manhua Wu ◽  
Xiujuan Tian ◽  
Guanheng Zheng ◽  
Qinchuan Du ◽  
...  

The growth of vehicle ownership not only brings opportunity for the economy, but also brings environment and transport problems, which is not good for sustainable transportation. It is of great significance to build supporting infrastructure and other services based on accurate forecasts of vehicle ownership in various provinces because of the variance of economic development stages, the carrying capacity of resources, and different degrees of transport planning in each province. We used the Gompertz model in order to predict China’s provincial vehicle ownership from 2018 to 2050. Considering the impact of the population structure, we summed up the growth rate of GDP per labor, the growth rate of population and the growth rate of employment rate to get the growth rate of GDP and then the GDP per capita of each province. We found that the vehicle ownership in each province will grow rapidly in the next 30 years; however, the change in the ranking of vehicle ownership among provinces varies. The ranking of some provinces with high or middle ranking now will decline in the following years, especially Beijing, Tianjin, Shanghai and Xinjiang. While the ranking of some provinces that locates in the middle and low ranking now will increase, such as Chongqing, Hubei, Anhui, Sichuan, Heilongjiang, Jiangxi, Hunan and Guangxi. We also investigate the reasons that affect the trend in each province and we find that the suitable vehicle growth pattern of each province, the stage of economic development and government policy, which are related to the growth rate of GDP per labor, employment rate, and GDP per capita, can affect vehicle ownership in the future.


2013 ◽  
Vol 869-870 ◽  
pp. 836-839
Author(s):  
Jian Jun Wang ◽  
Li Li

This paper uses STRIPAT models to find the impact of population, economy and technology on CO2 emissions of China. The result shows the impact of population, economy and technology on CO2 emissions are 1.253, 1.076, and 1.077 respectively. According to the future prospect of China, three scenarios of Chinas economic development are given to forecast the CO2 emissions, the forecasting results shows that if Chinas economic, population and energy consumption is increasing 7%, 0.4%, 5% every year, respectively. CO2 emissions will reach 21.05×108t in 2020. The CO2 emissions per unit GDP is decreasing by 45.54% in 2020 compared to 2005, which can fulfill the Chinese governments promise to decrease the GHG emissions per unit GDP by 40-45% in 2020 compared to 2005.


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