Agricultural Policy Simulation Based on Computable General Equilibrium Model

[Objective] This study aimed to examine the simulated effect of Computable General Equilibrium （CGE）-based agricultural policy simulation system. [Method] The policy simulation platform based on CGE model was constructed by integrating policy simulation, CGE model and Decision Supporting System （DSS）. The scenario analysis method was used to analyze the agricultural subsides policy simulation through empirical analysis. [Result] Farmers were the main beneficiaries of increasing agricultural production subsidies, which increased farmers＇ income and improved the export of agriculture products. The prototype system could solve the problems in actual policy simulation. [Conclusion] The results lay the foundation for the quantitative study on agricultural subsidy policy in China.

Intensity Allocation Criteria of Carbon Emissions Permits and Regional Economic Development in China——Based on a 30-Province/Autonomous Region Computable General Equilibrium Model

The intensity allocation criteria of carbon emissions permits and its influence on China＇s regional development are analyzed through the 30-province/autonomous region computable general equilibrium （CGE） model. Simulation results show that： industrial intensity criteria without taking regional economic development into account deepen the unbalance of regional economic development; regional intensity criteria without taking industrial properties into account exert little negative impact on regional harmonious development, but relatively high negative influence on high-carbon emission industries. The two-step allocation scheme that the central government allocates emissions permits to provincial governments based on regional economic development and then provincial governments allocate emissions permits to emission resources or entities based on industrial properties is a feasible and operable choice.

The Impact of Climate Change on Agriculture Production in Ethiopia: Application of a Dynamic Computable General Equilibrium Model

The challenge of meeting the ever-increasing food demand for the growing population will be further exacerbated by climate change in Ethiopia. This paper presents the simulated economy-wide impacts of climate change on the agriculture sector of Ethiopia using a dynamic computable general equilibrium (CGE) model. The study simulated the scenarios of agricultural productivity change induced by climate change up to the year 2050. At national level, the simulation results suggest that crop production will be adversely affected during the coming four decades and the severity will increase over the time period. Production of teff, maize and sorghum will decline by 25.4, 21.8 and 25.2 percent, respectively by 2050 compared to the base period. Climate change will also cause losses of 31.1 percent agricultural GDP at factor cost by 2050. Climate change affects more the income and consumption of poor rural households than urban rural non-farming households. The reduction in agricultural production will not be evenly distributed across agro ecological zones, and will not all be negative. Among rural residents, climate change impacts tend to hurt the income of the poor more in drought prone regions. Income from labor, land and livestock in moisture sufficient highland cereal-based will decline by 5.1, 8.8 and 15.2 percent in 2050. This study indicated that since climate change is an inevitable phenomenon, the country should start mainstreaming adaptation measures to sustain the overall performance of the economy.

Comparision of China's volatile organic compound pollution management:a computable general equilibrium approach

The public health and ecological impacts of volatile organic compound(VOCs) pollution have become a serious problem in China,arousing increasing attention to emissions control.In this context,this paper analyses the effectiveness of VOC reduction policies,namely pollution charges and environmental taxes at the national and industrial sector levels.It uses a computable general equilibrium model,which connects macroeconomic variables with VOC emissions inventory,to simulate the effects of policy scenarios(with 2007 as the reference year).This paper shows that VOC emissions are reduced by 2.2% when a pollution charge equal to the average cost of engineering reduction methods-the traditional approach to regulation in China-is applied.In order to achieve a similar reduction,an 8.9% indirect tax would have to be imposed.It concludes that an environmental tax should be the preferred method of VOC regulation due to its smaller footprint on the macroeconomy.Other policies,such as subsidies,should be used as supplements.

Impacts of Total Energy Consumption Control and Energy Quota Allocation on China′s Regional Economy Based on A 30-region Computable General Equilibrium Analysis

This paper examined the impacts of the total energy consumption control policy and energy quota allocation plans on China′s regional economy. This research analyzed the influences of different energy quota allocation plans with various weights of equity and efficiency, using a dynamic computable general equilibrium(CGE) model for 30 province-level administrative regions. The results show that the efficiency-first allocation plan costs the least but widens regional income gap, whereas the outcomes of equity-first allocation plan and intensity target-based allocation plan are similar and are both opposite to the efficiency-first allocation plan′ outcome. The plan featuring a balance between efficiency and equity is more feasible, which can bring regional economic losses evenly and prevent massive interregional migration of energy-related industries. Furthermore, the effects of possible induced energy technology improvements in different energy quota allocation plans were studied. Induced energy technology improvements can add more feasibility to all allocation plans under the total energy consumption control policy. In the long term, if the policy of the total energy consumption control continues and more market-based tools are implemented to allocate energy quotas, the positive consequences of induced energy technology improvements will become much more obvious.

Papyrus, Forest Resources and Rural Livelihoods: A Village Computable General Equilibrium Analysis from Northern Zambia

Papyrus is increasingly suggested as an alternative bioenergy source to reduce the pressure on forest ecosystems. However, there are few studies on the economic viability of papyrus wetlands and the benefits for local communities. We construct a village Computable General Equilibrium (CGE) model to examine whether papyrus harvesting and processing has the potential to improve local livelihoods and simultaneously counteract pressure on local forest resources. We apply the CGE model to a village in northern Zambia where overexploitation of forest resources to produce energy from firewood and charcoal poses a serious problem. The analysis is based on survey data?from 105 households collected in 2015. The model results show that papyrus briquetting would be a possible?alternative biofuel and that this technology improves household income and utility through?labor?reallocations. Higher opportunity costs lead to households switching from firewood extraction and charcoal production activities to papyrus harvesting and processing to produce bioenergy. Replacing energy supplies from firewood and charcoal with papyrus briquettes results in substitution effects between forest land and wetland and thereby reduces the pressure on local forest resources. The CGE approach allows for an economy-wide ex-ante analysis at village level and can support management decisions to ensure the success of papyrus bioenergy interventions.

A General Equilibrium Model for Energy Policy Evaluation Using GTAP-E for Vietnam

In the past several years, there has been growing concern on the scarcity of energy resources, the volatility of energy prices, and the impact of energy sector on climate change. In this context, energy-environment models designed for analysis of energy systems have become more important. In this paper, a Computable General Equilibrium Model （CGE） using an energy-environmental version of Global Trade Analysis Project （GTAP） model （known as GTAP-E） for Vietnam is presented based on the GTAP Data Base version 7. The model is developed following the original structure and the revised version of the GTAP-E model. This model is used to simulate the adoption of carbon tax for Vietnam for the base year of 2004. The economy-level and detailed sector-specific effects are also examined considering energy intensive and non-intensive sectors. Simulation results show the negative influences of different carbon tax scenarios to Vietnam＇s economy. The results would also indicate the potential of carbon taxation as a driving force for the mitigation of carbon dioxide and for new and renewable energy promotion in Vietnam. In fact, this study is the first simulation exercise of energy-environmental policy for the Vietnamese case.

Assessing the Regional Economic Ripple Effect of Flood Disasters Based on a Spatial Computable General Equilibrium Model Considering Traffic Disruptions

With growing regional economic integration,transportation systems have become critical to regional development and economic vitality but vulnerable to disasters.However,the regional economic ripple effect of a disaster is difficult to quantify accurately,especially considering the cumulated influence of traffic disruptions.This study explored integrating transportation system analysis with economic modeling to capture the regional economic ripple effect.A state-of-the-art spatial computable general equilibrium model is leveraged to simulate the operation of the economic system,and the marginal rate of transport cost is introduced to reflect traffic network damage post-disaster.The model is applied to the 50-year return period flood in2020 in Hubei Province,China.The results show the following.First,when traffic disruption costs are considered,the total output loss of non-affected areas is 1.81 times than before,and non-negligible losses reach relatively remote zones of the country,such as the Northwest Comprehensive Economic Zone(36%of total ripple effects).Second,traffic disruptions have a significant hindering effect on regional trade activities,especially in the regional intermediate input—about three times more than before.The industries most sensitive to traffic disruptions were transportation,storage,and postal service(5 times),and processing and assembly manufacturing(4.4 times).Third,the longer the distance,the stronger traffic disruptions'impact on interregional intermediate inputs.Thus,increasing investment in transportation infrastructure significantly contributes to mitigating disaster ripple effects and accelerating the process of industrial recovery in affected areas.

Energy and economic impacts of an international multi-regional carbon market

The establishment of a global multi-regional carbon market is considered to be a cost effective approach to facilitate global emission abatement and has been widely concerned.The ongoing planned linkage between the European Union's carbon market and a new emission trading system in Australia in 2015 would be an important attempt to the practice of building up an international carbon market across different regions.To understand the abatement effect of such a global carbon market and to study its energy and economic impact on different market participants,this article adopts a global dynamic computable general equilibrium model with a detailed representation of the interactions between energy and economic systems.Our model includes 20 economic sectors and 19 regions,and describes in detail 17 energy technologies.Bundled with fossil fuel consumptions,the emission permits are considered to be essential inputs in each of the production and consumption activities in the economic system to simulate global carbon market policies.Carbon emission permits are endogenously set in the model,and can be traded between sectors and regions.Considering the current development of the global carbon market,this study takes 2020 as the study period.Four scenarios(reference scenario,independent carbon market scenario,Europe Union(EUh-Australia scenario,and China-EU-Australia scenario) are designed to evaluate the impact of the global carbon market involving China,the EU,and Australia.We find that the carbon price in the three countries varies a lot,from $32/tCO_2 in Australia,to $17.5/tCO_2 in the EU,and to $10/tCO_2 in China.Though the relative emission reduction(3%) in China is lower than that in the EU(9%) and Australia(18%),the absolute emission reduction in China is far greater than that in the EU and Australia.When China is included in the carbon market,which already includes the EU and Australia,the prevailing global carbon price falls from $22 per ton carbon dioxide(CO_2) to $12/tCO_2,due to the relatively lower abatement cost in China.Seventy-one percent of the EU's and eighty-one percent of Australia's domestic reduction burden would be transferred to China,increasing 0.03%of the EU's and 0.06%of Australia's welfare.The emission constraint improves the energy efficiency of China's industry sector by 1.4%,reduces coal consumption by3.3%,and increases clean energy by 3.5%.

Applying Earth Observation Technologies to Economic Consequence Modeling:A Case Study of COVID‑19 in Los Angeles County,California

Earth observation(EO) technologies,such as very high-resolution optical satellite data available from Maxar,can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of businesses and the public.We investigated this unique approach to economic consequence modeling to determine whether crowd-sourced interpretations of EO data can be used to illuminate key economic behavioral responses that could be used for computable general equilibrium modeling of supply chain repercussions and resilience effects.We applied our methodology to the COVID-19 pandemic experience in Los Angeles County,California as a case study.We also proposed a dynamic adjustment approach to account for the changing character of EO through longer-term disasters in the economic modeling context.We found that despite limitations,EO data can increase sectoral and temporal resolution,which leads to significant differences from other data sources in terms of direct and total impact results.The findings from this analytical approach have important implications for economic consequence modeling of disasters,as well as providing useful information to policymakers and emergency managers,whose goal is to reduce disaster costs and to improve economic resilience.

Effect analysis of carbon trading on Economy-Energy-Environment system and calculation of reasonable carbon price intervals

This paper constructs a 4-lier computable general equilibrium model which includes such modules as modeling carbon emission constraints and carbon trading(CT),and incorporates the cost of carbon emissions into constant elasticity of substitute production function.Under scenario settings under different carbon abatement targets,based on 2007 national social accounting matrix and related statistical data about energy consumption and carbon emission,effects on economic outputs,energy consumption,and carbon abatement are estimated and analyzed at both macro and sector level.By calculating selected novel indicators that compromise between macroeconomic opportunity cost and achievable carbon abatement,reasonable carbon price intervals are given for enhancing the robustness and liquidity of carbon market.Further,by decomposition and share-weighted methods,expected carbon abatement and energy price are measured and analyzed in details.Some results are meaningful for fundamental design of the future carbon market.Given constant energy utilization and carbon abatement technologies at the macro level,the higher the carbon price the more actual carbon abatement;the more gross domestic product loss,the less energy consumption.Accwding to the overall situation estimated for 2007 in China,the advice given is to introduce a carbon abatement target rate(R_c)of-10%,which is helpful to make carbon market stable against unexpected carbon price shocks between[6.9,35]/tC with less economic loss.According to Kaya decomposition,after introduction of carbon pricing,carbon abatement is mainly contributed by the effects of energy intensity(EI)and technical progress.Further,CT may help reduce energy consumption and induce transformation to a low-carbon energy structure.At the sector level,the introduction of CT could induce economic recession in all sectors,especially energy.However,the overall economic structure remains unchanged to some extent.CT will help reduce energy consumption in all sectors,especially energy.Overall utilization costs of the energy composite can be divided in two,market price and carbonrelated costs.Carbon-related costs mainly contribute to variation in the utilization cos of the energy composite;carbon pricing may help non-energy sectors achieve sufficient carbon abatement by pushing up energy utilization cost.However,despite achievable carbon abatement by the energy sector being relatively high,induced by carbon pricing,there is still significant potential for other incentive policies to stimulate further abatement,such as energy resources taxation and transportation fuel taxation,especially in the sectors of coal and transportation.Finally,some advice is proposed in regard to policy decisions and further research.

CGE Simulation for Levying Carbon Tax in China and International Experience of Levying Carbon Tax

Levying carbon tax is conducive to reducing carbon dioxide emissions and protecting the environment.The author firstly reviewed some relevant empirical studies on carbon tax both home and abroad,and then established the CGE model and simulated levying carbon tax in China.The study found that levying carbon tax would have little impact on China's economy:in a short-term,China's GDP might decrease by 0.51%,while in a long-term it might decrease by 0.08%;however,the carbon dioxide emissions would be substantially reduced.Meanwhile,levying carbon tax has some negative impact on the output of each industry in the very economic structure;of this,the mineral extractive industries would be influenced the most.Then the author summarized experience of levying carbon tax in foreign countries.

Simulated Scenarios for China＇s Economic Growth： 2011-2030

Considering domestic and international impact on economic growth, this paper adopts a computable general equilibrium （CGE） model to simulate three scenarios for China＇s economic growth. Results indicate that during the 12^th Five-year Plan period （2011：2015）, China＇s economic growth is expected to reach 8 per cent and enjoy great potential for rapid growth in the mid- and long-term run. Future economic growth is mainly confronted by the risk of unbalanced economic development and growing resources and environmental pressures. Whether this potential is in transforming its development pattern. tapped depends on China＇s achievements

Could the EU carbon border adjustment mechanism promote climate mitigation?An economy-wide analysis

Due to concerns about carbon leakage and sectoral competitiveness,the European Union(EU)proposed implementing the carbon border adjustment mechanism(CBAM).The effectiveness and potential negative consequences of CBAM have aroused extensive discussion.From the perspective of the economy-wide analysis,this study uses a global computable general equilibrium model to explore the rationality of CBAM from the aspects of socioeconomic impact and the effects of promoting climate mitigation.Furthermore,the potential alternative mechanism of CBAM is proposed.The results show that CBAM can reduce the EU's gross domestic product(GDP)loss;however,the GDP loss in all other regions increases.Moreover,CBAM raises household welfare losses in most regions,including the EU.Second,although CBAM can reduce the marginal abatement cost in eight regions,it comes at the cost of greater economic losses.Furthermore,the economic and household welfare cost of raising emissions reduction targets in regions like the USA and Japan is substantially higher than the impact of passively accepting the CBAM;therefore,CBAM's ability to drive ambitious emission reduction initiatives may be limited.Finally,for the potential alternative mechanism,from the perspective of reducing economic cost and household welfare losses,the EU could implement domestic tax cuts in the short-term and promote global unified carbon pricing in the long-term.

An equilibrium analysis of the land use structure in the Yunnan Province, China

Global land use structure is changing rapidly due to unceasing population growth and accelerated urbanization, which leads to fierce competition between the rigid demand for built-up area and the protection of cultivated land, forest, and grassland. It has been a great challenge to realize the sustainable development of land resources. Based on a computable general equilibrium model of land use change with a social accounting matrix dataset, this study implemented an equilibrium analysis of the land use structure in the Yunnan Province during the period of 2008-2020 under three scenarios, the baseline scenario, low TFP （total factor productivity） scenario, and high TFP scenario. The results indicated that under all three scenarios, area of cultivated land declined signifi- cantly along with a remarkable expansion of built-up area, while areas of forest, grassland, and unused land increased slightly. The growth rate of TFP had first negative and then positive effects on the expansion of built-up area and decline of cultivated land as it increased. Moreover, the simulated changes of both cultivated land and built-up area were the biggest under the low TFP scenario, and far exceeded the limit in the Overall Plan for Land Utilization in the Yunnan Province in 2020. The scenario-based simulation results are of important reference value for policy-makers in making land use decisions, balancing the fierce competition between the protection of cultivated land and the increasing demand for built-up area, and guaranteeing food security, ecological security, and the sustainable development of land resources.

Exploring U.S.-China climate cooperation through linked carbon markets

Emissions trading systems(ETSs)are a widely used policy tool for driving emissions reductions and serve as an avenue for international climate cooperation.Following the recent global agreement on carbon market standards at COP26,this study explores linked ETSs as an avenue for the U.S.and China to cooperate on climate action.The emissions,energy,and economic effects of linked ETSs are analyzed through the China-in-Global Energy Model(C-GEM),a multi-regional,computable general equilibrium model.Assuming the development of national economy-wide ETSs,two scenarios are developed linking China and the U.S.:1)a bilateral U.S.-China ETS linkage 2)a multilateral ETS linkage that includes China,the U.S.,and nations in Southeast Asia.Results indicate that emissions and energy consumption outcomes would be similar in the bilateral and multilateral scenarios.However,economic outcomes are more favorable in the multilateral linkage scenario.When China and the U.S.engage in bilateral ETS linkage,China predominantly benefits from additional support for domestic decarbonization while the U.S.benefits from increased GDP compared to without ETS linkage.Adding Southeast Asia to establish multilateral linkage improves GDP outcomes for all participants,reducing adverse effects on China's GDP while boosting GDP for the U.S.and Southeast Asia.For policymakers considering the design and implementation of international ETSs,this study presents updated modeling on the effects of ETS linkage on each country as well as the economic benefits of expanding participation to additional regions.

The impact of China’s high-speed rail investment on regional economy and air pollution emissions

The high-speed rail(HSR)network in China has experienced rapid development since the 2000s.In 2016,the State Council of the People’s Republic of China issued a revised version of the“Mid-and Long-term Railway Network Plan”,detailing the expansion of the railway network and construction of an HSR system.In the future,the HSR construction efforts in China will further increase,which is considered to impact regional development and air pollutant emissions.Therefore,in this paper,we apply a transportation network-multiregional computable general equilibrium(CGE)model to estimate the dynamic effects of HSR projects on economic growth,regional disparities,and air pollutant emissions in China.The results indicate that HSR system improvement could generate a positive economic impact but could also increase emissions.The gross domestic product(GDP)growth per unit investment cost stimulated by HSR investment is found to be the largest in eastern China but the smallest in the northwest regions.Conversely,HSR investment in Northwest China contributes to a substantial reduction in regional disparities in terms of the GDP per capita.In regard to air pollution emissions,HSR construction in South-Central China results in the largest increase in CO_(2) and NO_(X) emissions,while for CO,SO_(2),and fine particulate matter(PM_(2.5))emissions,the largest increase occurs due to HSR construction in Northwest China.At the regional level,the provinces with large changes in accessibility also experience large changes in their air pollutant emissions.

全球多区域CGE模型的构建及其3E扩展

全球多区域可计算一般均衡模型(computable general equilibrium,CGE)是最重要的全球气候政策评估工具之一。该文给出了自主开发的全球多区域可计算一般均衡模型(global applied general equilibrium model,GAGE)的理论框架,描述了区域内框架的地区账户收入分配方案和生产模块的嵌套结构以及区域间框架的国际贸易结构和2个虚拟国际机构的构建,即建立国际运输部门和国际银行用于描述国际贸易的运输服务供需以及投资的区域间流动。在标准GAGE模型的基础上进行了能源-环境-经济扩展,以描述能源与资本之间以及各类能源之间的替代关系。碳减排情景研究结果验证了GAGE模型理论框架的合理性,展示了能源替代对于减排潜力的显著影响。

Prospects for ASEAN-China Free Trade Area:A Qualitative and Quantitative Analysis

The current global financial and economic crisis is giving new life to initiatives that promote closer economic integration among East Asian countries. A significant example is the ASEAN- China Free Trade Area （.4 CFTA）, which is set to come into effect around 2010..4CFTA aims to boost trade between two economies that are partners as well as competitors： ASEAN and China. In the present paper, we use insights from customs union theory in a qualitative analysis considering whether,4CFTA would benefit both sides. We also apply a computable general equilibrium model to perform a quantitative analysis of the same issue. Both our qualitative and quantitative analyses provide grounds for guarded optimism regarding A CFTA ＇s prospects as a vehicle for strengthening the economic partnership between ASEAN and China.

What Determines China's Grain Imports and Self-sufficiency? The Role of Rising Domestic Costs and Varying World Market Prices

China s grain sectors have faced unprecedented challenges in recent years as the ever-increasing and historically high level of grain output has failed to reduce grain imports. On the contrary, high grain imports and high domestic stock have accompanied historically high domestic output, a situation dubbed the "triple high" phenomenon in current policy discussion. This paper explores the role of widening domestic-world market price gaps in determining the triple high phenomenon.Unlike earlier studies that relied on production capacities, this paper argues that domestic production and demand (hence imports) are functions of domestic and world market prices and proposes an analytical framework to explicitly capture such price gaps under restricted trade linkages in general equilibrium. Following this approach, a set of price scenarios for the 2011-2020 period are constructed and simulated in a computable general equilibrium model. Results from the core scenarios, in which recent domestic and world market price trends are assumed to continue, suggest that further widening price gaps would substantially increase grain imports and reduce domestic output (by 60 million tons) and self-sufficiency ratios from base levels. In the alternative scenarios with larger (smaller) price gaps, we find higher (lower) imports and larger (smaller) decreases in domestic output and self-sufficiency ratios. Such results provide important policy implications as China's agricultural policy undergoes significant adjustment.