国际关联方交易内部结转价格的所得税税收和会计策略

国际关联方交易的内部结转价格是指跨国公司内部各个实体之间销售产品或者提供劳务所使用的一种内部划拨价格。跨国公司利用内部结转价格可以达到缴纳最少所得税等目的,国际上为了有效地对跨国公司国际关联方交易的内部结转价格在所得税方面进行税务和会计监督,执行着＂局外价格＂、＂比较价格＂和要求跨国公司揭示更多的财务信息的三种方法。文章认为,无论哪种方法都存在缺乏在世界范围内的统一规范、统一运作和统一监督的问题,应该成立一个由经济专家、会计专家和税务官员组成的全世界范围内的协会或组织予以协调。在我国应该结合具体国情选择相应的方法,并逐步向＂局外价格＂和＂比较价格＂过渡。     

基于收益还原法的住宅用地使用权续期定价模式研究

本文以土地使用费的内涵分析为切入点,运用马克思地租理论分析了我国土地定价的发展历程和趋势;以此为基础,从制度层面提出了城镇住宅用地使用权续期定价模式的框架,并以此为依据,着重分析了收益还原法在住宅用地使用权续期定价中的运作过程,为土地使用权续期定价体系的完善与发展提供了新的思路与方法。     

房价与企业高管薪酬业绩敏感性

非房地产企业受房价上涨的吸引投资于房地产业务,虽然能给企业带来业绩增长,但这使得企业业绩很难衡量高管的努力程度,业绩质量也不高,根据高管薪酬的最优契约理论,企业业绩在高管薪酬契约中的使用权重会被降低。基于中国35个大中城市的房价数据以及中国非房地产业的上市公司数据,研究发现：高房价显著降低了企业高管薪酬业绩敏感性,这一影响在高管薪酬契约有效性较高时更显著;以上结论在使用DID模型控制反向因果内生性问题后依然成立。     

房价上涨如何影响了工业产出

为探究房价上涨对工业生产的作用机制,首先基于理论视角对房价如何影响房地产投资、劳动力成本进而影响工业产出进行了论证,基于2003年~2017年全国时间序列数据,构建VAR模型实证检验了房价上涨对工业产出的影响机理。结果表明:房价上涨对工业产出具有"先促进,后抑制"的作用;房价上涨,一方面通过促进房地产投资增长抑制工业产出,另一方面通过提高工业企业劳动力成本抑制工业产出;短期内工业产出对房价的冲击响应较为灵敏且强烈,但长期来看房地产投资、劳动力成本的影响力会逐渐显现,且房地产投资最终成为了解释工业产出的主导因素。     

Market Incentives for Safe Foods: An Examination of Shareholder Losses from Meat and Poultry Recalls

Meat and poultry recalls, while voluntary, are carried out under governmental oversight. If firms have financial incentives to avoid being implicated in a recall situation, governmental involvement in recalls may cause firms to internalize social costs when making investment decisions concerning food safety controls. To examine these incentives, we analyze federally supervised meat and poultry recalls from 1982 to 1998 within an event study. Results show significant shareholder losses when publicly traded food companies are implicated in a recall involving serious food safety hazards. We find no evidence that the stock market reacts negatively when recalls involve less severe hazards.     

长春市土地征用补偿区片综合价格的测算及应用分析

在详细介绍长春市土地征用补偿区片综合价格测算的基础上,简单介绍了长春市征地区片划分及结果.采用历史征地案例价格比较法与产值倍数法相结合的思路,初步测算了长春市征地补偿综合价格.最后对测算结果从总体价格水平及空间差异上进行了对比分析,并对此次测算成果的应用提出了建议.     

El Niño,La Niña,and world coffee price dynamics

Coffee is produced in equatorial and subequatorial regions of the world, which are also most affected by El Niño Southern Oscillation (ENSO). ENSO events have a tendency to amplify weather conditions such as droughts or excess precipitation in the affected regions, resulting in production shortage or excess supply, subsequently impacting agricultural commodity prices. In this research we assess effects of ENSO events on world coffee price dynamics using the monthly data between March 1989 and December 2010. We employ smooth transition autoregression framework to examine nonlinear dynamics of ENSO and coffee prices, and illustrate the results of this research using generalized impulse‐response functions. We find that ENSO events indeed have short‐term impacts on coffee prices. The research findings are of interest to coffee producers and intermediaries in the coffee markets as well as researchers in the fields of environmental and development economics.     

Raising the bar (6)

Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.     

Forecasting commodity price indexes using macroeconomic and financial predictors

Using a long sample of commodity spot price indexes over the period 1947–2010, we examine the out-of-sample predictability of commodity prices by means of macroeconomic and financial variables. Commodity currencies are found to have some predictive power at short (monthly and quarterly) forecast horizons, while growth in industrial production and the investment–capital ratio have some predictive power at longer (yearly) horizons. Commodity price predictability is strongest when based on multivariate approaches that account for parameter estimation error. Commodity price predictability varies substantially across economic states, being strongest during economic recessions.     

Food price increases and net food importing countries: lessons from the recent past

Recent increases in food and other commodity prices have highlighted concerns that many poor countries are net food importers and higher food prices would worsen their trade balances. In this article, we analyze the changes in food trade balances associated with the 32% increase in food prices from 2000/2001 to 2004/2005. We find a small deterioration in food trade balances of low‐income countries and an improvement in middle‐income countries. The deterioration is most severe for countries in conflict and small island states, so attention should be placed first on these countries and on a few very‐low‐income countries that are also vulnerable. Because low‐income countries as a group had much lower agricultural GDP growth rates than middle‐income countries, the answers to food vulnerability in low‐income countries should probably be addressed within the context of incentives for agricultural production.