Economic Implications of Alternative Allocation Schemes for Emission Allowances*

For reasons of political feasibility, emission trading systems may have to rely on free initial allocation of emission allowances in order to ameliorate adverse production and employment effects in dirty industries. Against the background of an emerging European‐wide emission trading system, we examine the trade‐off between such compensation and economic efficiency under output‐based and emissions‐based allocation rules. We show that the emissions‐based allocation rule is more costly than the output‐based rule in terms of maintaining output and employment in energy‐intensive industries. When the international allowance price increases, the inferiority of emissions‐based allocation vis‐à‐vis output‐based allocation becomes more pronounced, as emission subsidies drastically restrict efficiency gains from international trade in emission allowances.     

Generational incidence of savings taxation versus capital-income taxation

This paper examines the incidence of capital taxation in a model in which the taxation of capital is clearly justifiable and using analytical techniques from the tax reform literature. The taxation of capital has long been a controversial issue, with much of the literature concluding that savings/capital-income should not be taxed. Recently, however, Blackorby and Brett have shown in a model with several desirable features that it can be optimal to tax capital, and they provide a simple yet compelling argument in favor of both savings taxation and capital-income taxation. We use the Blackorby–Brett model (i.e. a model in which the taxation of capital can be justified) to revisit the question of the incidence of capital taxation. We focus on the generational incidence of capital taxation; that is, the incidence on a young generation and an old generation. However, an interpretation in terms of the incidence on "capital" versus "labor" (as is traditional in the tax incidence literature) is also provided.     

Extending working hours: why not work 42 h rather than 38?—a CGE analysis for Germany

Faced with a record level of unemployment, the present debate in Germany is to extend the weekly hours of work. In this paper the employment effects of an economy-wide increase in weekly hours are quantified on the basis of a computable general equilibrium model for different specifications of the wage setting rule and the use of additional policy-induced public income. The simulation results back the argument of the opponents of longer working time that not more jobs will be created. However, when the higher tax revenues from GDP growth are used to reduce social security contributions, then the claim of the proponents that more jobs will be created can be supported.     

The Recognition and Timing of Deferred Tax Liabilities

Abstract:   This paper examines the characteristics of firms that account for deferred tax liabilities related to government investment grants under an extended adoption timing period. Not only the recognition but also the timing decision is associated with changes in future performance and changes in the debt structure. Recognisers outperform non‐recognisers in the future, while early recognition is related to post recognition performance but only for those firms that currently perform well. Changes in the balance sheet structure are also related to both decisions. Firms with recent increases in the debt level tend to postpone recognition, while currently well‐performing firms that increase their future debt level are less likely to recognise deferred taxes.     

Estimating the Impact of Transgenic Bt Cotton on West and Central Africa: A General Equilibrium Approach

West and Central Africa (WCA)’s cotton sector is experiencing rising production costs and lower yields, reversing decades of growth. Declining input use, soil fertility and inefficient chemical pest controls are contributing factors. We evaluate the potential impact of Bt cotton on WCA using a multiregion general equilibrium model and multicountry estimates of Bt-induced productivity. We find that Bt cotton raises growers’ returns, land value and welfare. Released labor from cotton is shifted to food crops hence reducing labor shortage constraints. Overall, results indicate that potential gross benefits from Bt cotton are substantial for WCA cotton sector, and that the economic costs of nonadoption are equally significant.     

对环境税的经济学分析

随着我国经济的加速发展,环境问题越来越成为人们普遍关心的问题,成为影响经济进一步发展的制约因素。通过对环境税的经济学分析可以看出其较强的可行性和操作性。利用环境税矫正外部经济,从而达到运用税收手段保护环境的目的,是十分必要的。     

促进民间投资的税收政策研究

启动民间投资对促进经济发展具有重要意义,而且在我国民间资本有巨大潜力可挖。税收是国家调节经济的强有力工具。本文着重分析了我国现行税制在促进民间投资的过程中存在的问题以及解决问题的新思路。     

新一轮税制改革面临的挑战与现实选择

中国经济正面临着知识经济、经济全球化、可持续发展、通货紧缩、追求收入公平分配等方面的严峻挑战。制定税收制度必须以经济转轨时期的经济改革为背景,以广税基、低税率、少优惠、强征管为目标,进一步深化我国的税制改革。     

China''''s Cooperative Exploration of Oil and Gas and Its Taxation System

China' s foreign-oriented oil taxation system has, from the beginning, been based upon the positive experiences of other oil-producing countries and has incorporated common international practices. The system has been perfected over decades. It of fers more incentives than other oil-producing countries in the following four aspects: (1) Income tax has a "wide tax base and low tax rate"; (2) VAT levies a low tax rate on ma-     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.