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

Author(s):  
Shantayanan Devarajan ◽  
Delfin S Go ◽  
Sherman Robinson ◽  
Karen Thierfelder

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.

Author(s):  
Yu Kun Wang ◽  
Xiaoyong Zhang

Carbon emissions exacerbate global climate change. Transitioning away from coal is a cost-effective path to a low-carbon economy. Although many articles have considered the issue of manufacturers' production and emission of pollution. Few papers have discussed the impact of environmental tax and fuel tax on the cost of environmental degradation. This paper seeks to fill this gap by developing a theoretical model to discuss the relationship between environmental pollution and economic growth. Furthermore, in order to support the theoretical results and testify the relationship between carbon emissions and taxation, we take South Africa as a case for discussing the effect of environmental taxation and fuel levy on firms' carbon emissions. We show that the impact of environmental taxes on carbon dioxide emissions is greater than that of fuel taxes on carbon dioxide emissions. In addition, we find that the GDP level of South Africa is on the left of the inflection points of Kuznets Curve. In other words, the current growth of South Africa's economy is at the cost of worsening the environmental degradation.


Author(s):  
Weijiang Liu ◽  
Yangyang Li ◽  
Tingting Liu ◽  
Min Liu ◽  
Hai Wei

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.


2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen

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.


2018 ◽  
Vol 12 (2) ◽  
pp. 161-180
Author(s):  
Deky Paryadi ◽  
Aziza Rahmaniar Salam

 Abstrak Kawasan Eurasia merupakan wilayah yang penting secara geopolitik dan geostrategi bagi perdagangan Indonesia. Melihat potensi yang dimiliki oleh negara-negara yang tergabung dalam Eurasian Economic Union (EAEU), Indonesia diharapkan dapat memanfaatkan peluang yang terbuka. Penelitian ini bertujuan untuk mengetahui potensi daya saing komoditas serta dampak kerja sama perdagangan Indonesia-EAEU. Metode analisis yang digunakan adalah Trade Complementary Index (TCI), Revealed Symetric Comparative Advantages (RSCA) dan Computable General Equilibrium (CGE) model dengan data dasar GTAP versi 9 menggunakan enam simulasi. Berdasarkan analisis TCI, tingkat kesesuaian ekspor EAEU terhadap struktur impor Indonesia lebih tinggi dibandingkan ekspor Indonesia terhadap struktur impor EAEU. Dengan melihat dampak kerja sama perdagangan Indonesia-EAEU terhadap makroekonomi Indonesia, penurunan tarif bea masuk sebesar 50% untuk seluruh produk Indonesia dan EAEU merupakan alternatif kebijakan terbaik. Indonesia perlu menjajaki kemungkinan kerja sama dengan EAEU dengan pendekatan berupa eliminasi 50% pada seluruh pos tarif secara bertahap. Selain itu, disarankan Indonesia fokus pada komoditas yang memiliki daya saing di pasar EAEU yaitu sektor animal; vegetable; foodstuffs; plastics/ rubber; raw hides; woods; textile; stone/glass; machinery; dan transportation.AbstractThe Eurasian region is an important area for Indonesia in term of geopolitic and geostrategy. Due to the economic potential of EAEU countries, Indonesia must take advantage of it. This study aims to determine the potential competitiveness of commodities and the impact of trade cooperation between Indonesia-EAEU. Methods used in this study were Trade Complementary Index (TCI), Revealed Symetric Comparative Advantages (RSCA) and Computable General Equilibrium (CGE) model utilizing basic data of GTAP version 9 of six simulations. By using TCI method it was found that the comformity level of EAEU's export to Indonesia's import structure is higher than Indonesia's exports to the EAEU import structure. Looking at the impact of Indonesia-EAEU trade cooperation on Indonesia’s economy, tariff reduction of 50% for all Indonesian products and EAEU is the best policy alternative for Indonesia. Therefore, It is a must to Indonesia to explore the possibility of cooperation with EAEU with a 50% elimination scheme gradually to all tariff lines. Indonesia should also focus on commodities which have competitiveness in EAEU market i.e. animal; vegetable; foodstuffs; plastics/rubber; raw hides; woods; textile; stone/glass; machinery; and transportation.


2018 ◽  
Vol 29 (5) ◽  
pp. 784-801
Author(s):  
Levent Aydın

Although the idea of carbon tax was debated widely in the early 1970s, the first carbon taxes were imposed in some Northern European countries at the beginning of the 1990s. Since the Paris summit in 2015, there has been a growing interest in carbon tax that has begun to increase again. Although Turkey’s share of carbon emissions in terms of total global emissions is low, the rate of increase in emissions has increased in recent years and should be a cause for concern. Therefore, the aim of this paper is to analyze the possible effects of carbon taxes on Turkey’s economy by disaggregating the electricity sector a by using the computable general equilibrium model. Simulation results show that carbon taxation is a highly effective means to reduce carbon emissions. Despite all sectors being adversely affected, some low emission energy, textile, and other service sectors benefit from carbon pricing. The results also indicate macroeconomic costs of imposing a carbon tax at $7 per ton of carbon in terms of the decrease in GDP by 0.061% and associated with per capita utility of the representative household by 0.09% in scenario a. Imposition of successively higher carbon taxes in scenario b and scenario c results in 5.75, 12.02, and 16.95% reduction in carbon emissions at decreasing rate, respectively. However, these reductions are also accompanied by a decrease in real GDP and per capita utility from household expenditure, as macroeconomic costs, in scenarios a, b, and c at increasing rates.


2022 ◽  
pp. 097226292110662
Author(s):  
Isha Jaswal ◽  
Badri Narayanan G ◽  
Shanu Jain

Ever since the liberation of trade policies in India, Foreign Direct Investments (FDI) has been crucial in the growth of the economy, both at the macro as well as sector level. The association between FDI and economic growth is an area of interest globally. The investment decisions are affected by several national and international events that add to the volatility of the number of inflows. COVID-19 pandemic severely impacted the intensity of FDI inflows. But the strong resilience by our government manifested in crucial policy reforms and proactive decision-making minimized the impact. This article examines the potential impact of FDI on crucial macroeconomic variables using the Computable General Equilibrium (CGE) Model. Introducing the policy shock of $90 billion into the model, an increase of 5.68% per annum in GDP is estimated. Findings indicate that the impact of FDI shall be favourable to a large number of sectors mainly metals, construction, motor vehicle, computers, and electronics in terms of increased output, exports, and employment opportunities. The study offers logical implications for the policymakers to continue strengthening their moves to attract FDI.


2019 ◽  
Vol 12 (4) ◽  
pp. 175
Author(s):  
Pham ◽  
Nguyen ◽  
Ramiah ◽  
Mudalige ◽  
Moosa

This study examines the impact of environmental regulation on the Singapore stock market using the event study methodology. Several asset pricing models are used to estimate sectoral abnormal returns. Additionally, we estimate the change in systematic risk after the introduction of the carbon tax and related regulation. We conduct various robustness tests, including the Corrado non-parametric ranking test, the Chesney non-parametric conditional distribution approach, a representation of market integration, and Fama–French five-factor model. We find evidence showing that the environmental regulations tend to achieve their desired effects in Singapore in which several big polluters (including industrial metals and mining, forestry and papers, and electrical equipment and services) were negatively affected by the announcements of environmental regulations and carbon tax. In addition, our results indicate that the electricity sector, one of the biggest polluters, was negatively affected by the announcement of environmental regulations and carbon tax. We also find that environmental regulations seem to boost the performance of environmentally-friendly sectors whereby we find the alternative energy industry (focusing on new renewable energy technologies) experienced a sizeable positive reaction following the announcements of these regulations.


Author(s):  
Bojun Wang ◽  
Aidan O’Sullivan ◽  
Lynnette Dray ◽  
Andreas W. Schäfer

Studies assessing the impact of market-based environmental policies in aviation rely on various scenarios of airline cost pass-through, because there is little empirical evidence with respect to the impacts of airline costs on airfares. Instead, the costs effect has been indirectly measured by proxy variables such as distance, fuel price, and aircraft sizes. This paper provides empirical evidence of airline cost pass-through by developing an airfare model that explicitly captures airline operating costs. Using a feasible generalized two-stage least squares (FG2SLS) approach, we obtained coefficients of airline fuel costs per passenger, non-fuel costs per passenger, and non-fuel costs per flight modeling for seven world regions (20 region-pair markets). A comparison of the estimated cost pass-through elasticities conducted across regional markets suggests that airlines may respond to the cost increases differently, depending on the cost types and the markets they operate in. Based on the estimated coefficients, we systematically evaluate the potential impacts of introducing a carbon tax policy within two major regional markets with distinct cost pass-through elasticities.


2018 ◽  
Vol 20 (4) ◽  
pp. 337-357
Author(s):  
Mona Farid Badran

Purpose The purpose of this study is to quantify the impact of laws and regulations that govern the cross-border flow of data on the economies of five selected African countries, namely, Egypt, Morocco, South Africa, Kenya and Mauritius. Moreover, this study addresses the state of cloud computing in Africa. Finally, policy recommendations are provided in this respect. Design/methodology/approach To reach accurate finding the Global Trade Analysis Project (GTAP) data was used, and then the computable general equilibrium (CGE) was computed to estimate the total cost on the economy. Using the three data regulations linkages indexes (DRLs), the increased administrative cost effect was analyzed on five to six major economic sectors in the target countries. This was followed by estimating the loss in sector-wide total factor productivity (TFP) (for the five to six shortlisted sectors). Using this data, the computable general equilibrium model (CGE) was computed, in order to estimate the economy-wide impact. Based on these findings, a set of recommendations were offered to the policy maker, reflecting the obtained results and conclusions and their implications on drafting data-related policies. Findings The obtained data indexes reveal that Mauritius is the country with the most laws and regulations governing the cross border flow of data, followed by South Africa Egypt to a lesser extent and finally Morocco and Kenya both showing an obvious lack of data regulations. The small value of the estimated elasticity of the selected countries compared to the value of the estimated elasticity in the EU-0.347 shows that the impact of data localization is less in the selected African countries than in the other set of EU countries examined in the research paper. This is because the former has smaller economies with fewer linkages to the global economy and are less reliant on sectors that are heavy users of data. Thus, the overall impact of data localization was not as profound on TFP as is the case in advanced economies. This research paper arrives at the conclusion that fighting the trend of data localization is crucial. In fact, data localization hinders the necessary and essential role of global trade in realizing economic development. Specifically, this is evident in the increase in production costs as reflected in the increase of the prices of goods, which would lead to a decline in incomes. Originality/value Global studies looked at the impact of data localization on the EU, as well as China, India, Korea and Vietnam, providing some data on Asia Pacific. However, no study has ever been conducted on the Middle East and Africa. This study aims to fill this gap. The approach of this study is to capture the extent of data localization mandates encoded in the laws of each of the selected five African countries showing how these mandates govern their cross-border data flow and, in turn, affect their economies. Furthermore, the policy recommendations section of this research paper makes a contribution to the existing literature.


2019 ◽  
Vol 11 (16) ◽  
pp. 4387 ◽  
Author(s):  
Lin ◽  
Zhang ◽  
Wang ◽  
Yang ◽  
Shi ◽  
...  

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.


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