马克思货币需求理论与西方货币需求理论的比较

货币理论是经济学中最富争论的理论之一。货币理论的基础也就是供求规律。对于其中的货币需求理论,从古至今有不少学者发表了不同的看法,形成了几种互不相同但彼此又有一定联系的学说。比较这些理论的异同,对于我们学习货币理论并制定和分析现实的货币政策具有重要的理论意义和实践价值。     

全球海运铁矿石市场承压解析与行业影响

世界钢产量峰期出现在2000年以后,其高速增长动力主要来源于中国,而中国铁矿石原矿资源禀赋的劣势,愈发刺激了中国对国际海运铁矿石的需求,致使中国铁矿石需求的对外依存度较高,与此同时,作为铁矿石纯进口国的中国难以主导铁矿石定价权。2011年国际铁矿石市场正值高位运行,大部分铁矿石生产商在高价驱使下,选择大幅增加投资成本扩建产能,海运铁矿石市场供需基本面开始倒转。2015年以来,铁矿石中国到岸价大幅下跌,铁矿石生产巨头由于低廉的现金生产成本也只能勉强盈利或者维持在盈亏平衡线附近,高成本矿被实质性挤压出局。而美国量化宽松政策收紧乃至退出,导致金融流动性降低,进一步巩固了全球铁矿石市场"供强需弱"的格局。由于国内高成本铁矿项目的退出,中国铁矿石需求对外依存度将会进一步升高。     

Load profiles and flexibility in operation of washing machines and dishwashers in Europe

While the energy generation system is changing towards the use of more renewable energies, the problem of how to deal with fluctuating energy supply is increasing. Smart appliances in households are often referenced as one possible solution, as their operation may be shifted in time and, thus, used to balance an unstable energy supply. The potential of such appliances has been studied to date mainly in pilot installations with a very limited number of participants or by making assumptions on what might be possible. With this work, a semi‐representative approach for 12 European countries was used to assess actual consumer habits for the use of washing machines and dishwashers which then could be used to calculate average load profiles for those appliances depending on the time of the day. Using these profiles, it is strait forward to calculate how much load may be shifted by those appliances in a demand response application. This allows aggregators or energy utilities to assign clear financial benefits to the shifting potential of those appliances. Consumers use the shifting of appliance operation already today for various reasons. Investigating these reasons allows to learn already a lot about the flexibility of consumers.     

Price Endogeneity and Food Demand in Urban China

Price endogeneity has been ignored in previous analyses of food demand in urban China. We exploit data provided by the China National Bureau of Statistics on agricultural commodity supply shifters and use reduced‐form price equations to account for price endogeneity. Applying our unique econometric approach to the analysis of provincial‐level food demand in China, we find strong statistical evidence of price endogeneity. Models that ignore price endogeneity result in substantially biased elasticities and misleading estimates of future food demand in China.     

Light fuel demand and public policies in Brazil, 2003–2013

The main objective of this article is to evaluate determinants of demand for light fuels in Brazil between 2003 and 2013. Through a vector autoregression analysis, an effort was made to identify and quantify the impact of different economic variables and public policy measures adopted during this period on the surprising increase in energy consumption by Brazil’s light-vehicle fleet. The results suggest that demand for energy by the light-vehicle fleet was influenced by an increase in income, by a decrease in fuel prices associated with a policy designed to prevent increases in the price of gasoline from pushing the inflation rate up, by a higher availability of credit for buying vehicles, and by a drop in the real price of those goods, with emphasis on countercyclical measures to waive the tax on industrialized products levied on new vehicles during economic downturns in the automotive industry.     

Food safety recall effects across meat products and regions

Food safety is one of the key issues for the international meat market. As a major meat exporter, few things facing the U.S. meat industry in recent years have garnered more attention than food safety events and policies. The impacts of Food Safety Inspection Services (FSIS) recalls on United States consumer meat demand are estimated using monthly grocery-scanner data identifying effects across products, geographic regions, and recall type. Results suggest beef E. coli recalls significantly reduce the demand for recalled ground beef contemporaneously among most, but not all, regions in the United States. Evidence of heterogeneity in demand impacts across regions and products is provided for the first time. Domestic and international implications for policy makers, industry leaders, and researchers are discussed.     

出境旅游需求的影响因素--兼论发展中经济体与发达经济体的异同

根据微观经济学的需求理论，结合相关研究进展，文章构建了包括基本经济因素（收入和相对价格）、对外开放度、旅游业发展水平、人口统计特征、突发事件等变量在内的出境旅游需求模型，以74个国家/地区1995—2013年的数据为样本，分析了发达经济体和发展中经济体出境旅游需求影响因素的总体特征与异同。结果表明，收入和价格是影响出境旅游需求的决定性因素，对外开放度、旅游业发展水平、人口统计特征及突发事件等其他因素对出境旅游需求同样具有一定的影响。其中，收入、价格以及产业发展水平对发展中经济体出境旅游需求的影响作用相对更大，而对外开放度和人口统计特征（就业水平、年龄结构和受教育水平）对发达经济体出境旅游需求的影响更加显著。     

平衡膳食模式视角下粮食需求预测

[目的]随着时代的进步和社会经济的发展,对粮食安全内涵的理解也在逐步深化,粮食安全内涵不仅包括数量方面,还包括营养健康安全,保障居民营养健康成为粮食安全的新时代内涵。基于营养目标的粮食需求研究,建立营养—消费—生产的粮食生产模式,对引导居民合理健康消费和保障粮食安全具有十分重要的意义。[方法]文章首先分析了我国城乡居民营养消费状况,然后基于平衡膳食模式视角,引入标准人消费系数这一概念对我国未来粮食需求进行了更准确的预测。[结果]城镇居民粮食消费已达到高营养目标,但目前农村居民仅达到低营养目标水平,相当于21世纪初的城镇消费水平;考虑人口结构因素,2020年和2030年粮食需求总量分别为4.8亿t和5.6亿t,比没有考虑人口结构变化时分别减少8700万t和2 600万t。[结论]根据分析结果,提出以下几点政策建议:(1)宣传普及营养健康消费知识,引导居民合理膳食;(2)关注人口结构变动,及时调整粮食安全调控机制;(3)优化食品工业的产业机构升级,提高饲料粮转化率。     

中国主要木材产品的需求收入弹性测算与启示

木材产品是重要的林产品,是国家经济建设和人民生活主要的资料,在国民经济与社会发展中发挥积极作用。通过构建双对数模型,采用实证分析的方法,估算出2005²012年间原木、锯材和人造板这三种木材林产品的平均需求收入弹性分别为0.301、1.100和1.338,总结出中国木材产品消费和国民经济增长的作用规律,并得到加速森林资源培育、继续优化产业结构和建立可持续贸易机制几点启示。     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.