Population Ageing and Sustainable Development Research in China

According to the United Nations population projections, the population of the elderly is expected to roughly triple in China from 2000 to 2050, particularly when the generations who were born between the 1950s and 1970s move through the age structure, and also because people are living longer and fertility rates have fallen, population aging is expected to put pressure on government's fiscal balance through higher old-age security benefits and health-care expenditures. This work draws together the broad range of elements involved within a consistent framework, based on a computable dynamic general equilibrium model with an overlapping generation structure. Further analysis using model simulation illustrates that the alternative schemes for the benefit rate, retirement age and technological progress are likely to be beneficial, and that an obvious slow-down in the growth of living standards is likely to be avoided.     

我国能源资源税改革对城乡居民的收入分配效应——基于CGE模型的分析

通过构建包含7个城镇居民组和5个农村居民组的多收入阶层CGE模型,并将劳动力要素分为农业劳动力、技术工人和生产工人3类,在低税率、实际税率和高税率三种情景下模拟了煤炭、石油和天然气资源税改革单独实施和同时实施对城镇和农村居民的收入分配效应,并对税收补偿措施的效果进行分析.结果表明：单独实施煤炭资源税或天然气资源税改革对城镇居民组收入差距有正向的缩小作用,有利于收入分配公平,但对农村居民组收入差距起到负向的扩大作用,不利于收入分配公平;单独实施石油资源税改革则同时缩小了城镇和居民组的收入差距,有利于收入分配公平;同时实施三类能源资源税改革的收入分配效应与税率组合方式有关;将能源资源税收入以补贴的方式返还给农村居民可以缩小其收入差距,有利于收入分配公平.     

Rebound effect and its decomposition – an analysis based on energy types in China

Rebound effect derived from energy efficiency improvement has been widely invested. However, most of studies focus on the rebound effect of the energy composite level and neither distinguish nor compare different energy types. We compare the differences in energy saving and energy rebound between primary and secondary energy sources, and further decompose the rebound effect into production rebound part and final demand component. To do so, we add a module for rebound into a comparative state China-CGE model. We design and test two simulation scenarios using the model. In Scenario 1, all production sectors’ energy efficiency of using primary energy increases by 5%. In Scenario 2, all production sectors’ energy efficiency of using secondary energy increases by 5%. The results show that Scenario 2 leads to more GDP growth and more energy saving. Our scenarios show rebound effects range between 9.6% and 27.9%, and in general are higher when energy efficiency of using primary energy sources is improved. Our decomposition analysis shows that improving energy efficiency in production sectors would stimulates energy use of final demand. Indeed, the consumption side has significant contribution to rebound in secondary energy use, especially in crude oil and gas. This study reveals that improving efficiency of using secondary energy is better than improving that of primary energy, both in terms of economic impact and energy rebound. And complementary policies that prevent energy services prices from falling too much can be adopted to reduce rebound. Controlling residential energy use could also be effective in reducing rebound, this has particular implication to economies in which residential energy consumption are far from saturation.     

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.     

Ecological tax reforms and environmental benefits in Italy and Sweden

The paper calculates the implications of including monetary measurements of environmental emission changes for the welfare impacts of ecological tax reforms in Italy and Sweden. Taxes on emissions of SO₂, NO_x and CO₂ are investigated. Country-specific computable equilibrium models are used for estimating net welfare changes of the introduction of these taxes, the incomes of which are used for reducing distorting labour taxes. The results indicate that the inclusion of environmental benefits reduces the costs of ecological tax reforms considerably for both countries, and may even turn into net welfare gains.     

我国取消电价补贴的经济影响——基于电价管制及完全竞争市场的分析

通过构建电力部门细分的CGE模型,分别在电价管制和完全竞争市场背景下,评估了取消电价交叉补贴和可再生能源电价补贴,以及引入碳税政策并将碳税收入转移支付给风电及光伏行业的经济影响.研究发现:取消电价交叉补贴对GDP有负面影响,而取消可再生能源电价补贴后GDP有所提升;相比完全竞争市场,电价管制市场背景下取消电价交叉补贴对GDP的负面冲击强度增加了0.003%,而取消可再生能源电价补贴对GDP的促进作用幅度则相对减小0.056%;同时取消两种补贴时,在电价管制市场背景下GDP相比基准情景下降了0.022%,而在完全竞争市场背景下GDP则增加了0.038%.电价管制市场背景下取消电价补贴对电力结构及能源结构影响较小;而在完全竞争市场背景下取消电价补贴将刺激传统电力消费并导致碳排放有所增加.引入碳税政策并将碳税收入转移支付给风电及光伏行业可以有效控制碳排放并促进电力结构和能源结构改善,但会对行业总产出和GDP产生更大的负面冲击.我国未来应适度放开电价管制,并采取诸如适时征收碳税并将其收入转移支付给风电和光伏行业的支持性政策,推动我国能源结构优化和节能减排目标的实现.     

对环境税的一般均衡分析与应用模式探讨

中国的环境污染问题伴随着经济的发展而日趋严重．因此环境问题也成为了我国CGE模型开发者关注的一个焦点。本文利用一个可计算的一般均衡模型模拟了税收改革政策对生产、消费和政府收入所产生的一系列影响。仿真结果说明了对不周行业根据污染的强度不同的税率按产值征税．可以在控制污染行业产量．保护环境的同时．促进整体税制改革，减轻企业的所得税负担和居民的纳税负担。增加政府收入．从数字上说明环境税的“双盈”效应假说是可行的。     

基于多区域CGE模型的水污染间接经济损失评估——以长江三角洲流域为例

通过构建长江三角洲流域多区域CGE模型,模拟了2011年水污染对长江三角洲流域内部地区（上海、流域内浙江、流域内江苏）造成的间接经济损失.并且构建间接影响系数来反映流域内不同区域和行业受水污染的间接波及程度.研究结果表明：水污染对流域内区域的经济影响差异明显,从GDP绝对值减少量来看,上海GDP损失最大（161.3亿元）,但从GDP百分比变化来看,流域内浙江损失更为显著（2.84%）;上海经济对长江三角洲流域水污染最为敏感,其间接经济损失将是其直接经济损失的3.5倍左右,而流域内江苏、流域内浙江仅为0.92倍和1.98倍.     

CGE模型在水资源研究中的应用与展望

文章简要介绍了CGE模型及其在水资源研究中的应用,归纳了水资源在模型中的处理方法,分析了CGE模型应用于水资源研究中存在的问题,并对未来发展趋势进行了展望。从处理水资源问题的方法看,约束条件、要素、中间投入和综合处理等4 种方法是主要的建模手段,并随着数据和建模技术的发展,模型向精细化、复杂化和贴近实际发展。尽管CGE模型在水资源研究中的应用仍然受制于模型本身的缺陷以及对水资源问题的认识和处理方式,但随着理论发展、数据完善,CGE模型在水资源研究中的应用会逐步朝着标准化、模块化、精细化和实用化的方向发展。     

The regional economic impact of reducing greenhouse gas emissions: Western Australia

This study analyses the general-equilibrium impacts of an international climate change response policy on the economy of Western Australia (WA), one of the most mining-based and energy-intensive states of Australia. It finds that emissions would fall by up to 11% from the base level in WA. However, such environmental benefits emanate at some costs to the state economy; in terms of foregone gross state product, the costs are up to 3% of the base level. Indeed, the actual costs and benefits depend on the precise design of the climate change response policy as well as on the other policies within which it operates. For example, when emission quota permits are sold to industries and no tradeable carbon credits (i.e. credits for the carbon sequestrated in Kyoto forests) are granted, emissions decline by about 8% and GSP falls by about 3% of the base levels. If carbon credits are tradeable, however, the environmental benefits could be increased and the GSP cost could be reduced substantially. Also, the reduced economic activity caused by emission abatement results in a modest fall in net government revenue, despite the additional revenue from permit sales in some cases. Accordingly, government’s fiscal package surrounding the emission permits would influence the emission abatement impacts on the economy. With regard to the effects on the structure of the state economy, the oil and gas industry suffers only a slight contraction but the energy-supplying sector as a whole contracts substantially. It is therefore not surprising that the impacts on the WA economy of curbing emissions by energy and transport industries alone are quite significant when compared to those resulted from all industries’ compliance with the abatement scheme. It needs to be noted that the model projections analysed in the paper are based on simplifying assumptions and tentative scenarios, and hence should be viewed with caution and not be understood as unconditional forecasts.