Entry,trade costs,and international business cycles

Are firm entry and fixed exporting costs relevant for understanding the international transmission of business cycles? We revisit this question using a model that includes entry, selection to exporting activity, physical capital accumulation and endogenous labor supply. We determine that once the stochastic process for exogenous productivity is calibrated to consider the endogenous dynamics in TFP created by the number of firms and the time series volatility of entry is calibrated to the data, our model yields minimal departures from the Backus et al. (1992) benchmark. The richer model shares all of the successes of the previous model in terms of the volatilities of aggregate quantities, as well as its failures, in terms of replicating patterns of international co-movement and the volatility of international relative prices.     

International deflation risks under alternative macroeconomic policies

We use a version of the Global Projection Model covering the United States, Euro area and Japan to assess options for dealing with the looming risk of international deflation. The zero floor to interest rates constrains monetary policy. Confidence intervals, derived from stochastic simulations, indicate ranges of uncertainty. The results suggest a high probability of a declining price level for a couple of quarters in 2009. Suitable policy adaptations reduce the risk that this might turn into a prolonged, global deflation. These include: a price level path target for monetary policy, which would respond to previous, as well as expected, shortfalls from the desired inflation rate; a more stimulative fiscal policy; and an increase in the long-run target for inflation.     

Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis

This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector. The findings, based to data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies, such as three research and two student questionnaire-based teaching alternative indices, reduce performance and its differentials for both research and teaching activities. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain bias-corrected estimates. The Malmquist index is calculated to measure changes in productivity.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

Ramsey pricing including CO2 emission cost: An application to Spanish airports

The long-term growth in the air transport is leading to the need to expand airport infrastructure but this has serious environmental implications. Thus, there is the need to establish an alternative to the traditional airport pricing structure for landing fees, which reflects the overall costs that air transport operators impose on others. Airport pricing should provide a sound guide for future investments, and at the same time reflect whether additional facilities are needed and at what price, by taking into account all costs, including environmental costs. This paper analyses one application of Ramsey Pricing on uncongested Spanish airport, by considering the CO₂ emission costs as a valuable input.     

Are Socially Responsible Firms Associated with Socially Responsible Citizens? A Study of Social Distancing During the Covid-19 Pandemic

Journal of Business Ethics - The literature on the interplay between geographic communities and organizations has largely ignored the role of individual residents. In adopting a meso-perspective,...     

“双循环”新发展格局下经济增长动力研究——基于TFP分解的视角

利用全球投入产出表数据,基于投入产出的优化模型计算全要素生产率(TFP)增长率,并将其分解为三种效应:技术进步效应、国内需求效应与贸易条件效应,以此考察新世纪以来的中国经济增长动力,为"双循环"新发展格局下的经济增长途径选择提供参考。研究发现:技术进步是中国TFP增长的主要动力,技术进步速率的下降是我国经济增长放缓的重要原因;2008年以后,技术进步效应对TFP增长的贡献在快速下降,而国内需求效应和贸易条件效应的支撑作用未能有效维持TFP增长率保持此前高位;对技术效应的产业结构分解可知,我国的比较优势在于制造业和仓储物流等行业,比较劣势在于产业链上游的原材料、基础材料制造等行业。反事实分析表明,保持人口增长是提振国内需求效应,促进TFP增长的重要动力。当前我国"双循环"新发展格局的实现瓶颈主要在于内外需求不足和技术进步速率下降,通过产业政策加强协同创新、短板创新,合理调整生育政策,可以切实推动"双循环"新发展格局下我国经济的高质量发展。     

Perception evaluation kit: a case study with materials and learning styles

International Journal of Technology and Design Education - Materials are elements that configure our built environment and are key components in design and engineering education. This research aims...     

基于One-Class SVM的青鳉鱼异常行为识别方法

为了更准确地解析青鳉鱼在突发污染环境中的行为变化趋势,提出了一种基于One-Class SVM模型的青鳉鱼异常行为识别方法。以青鳉鱼的生理及行为特征作为观测指标,将采集到的暴露在不同类型和浓度特征污染物下的青鳉鱼行为强度信号作为经验数据,利用直方图统计和主成分分析（PCA）对行为强度数据进行降维,实现行为特征提取,基于One-Class SVM构建模型,并以五水合硫酸铜和三氯酚作为特征污染物进行暴露实验对算法进行验证。结果表明,One-Class SVM模型可以准确地识别正常行为和污染物暴露时发生的异常行为;对于有机污染物最快可在10 min内完成预警,重金属污染物可在1 h内完成预警,并且污染物浓度越高,模型的识别效果越好。识别方法可对水源突发性水质污染进行更有效的监测和预警,也可为水污染应急决策提供技术支撑。     

词汇化探索

词化过程是语言领域的自然过程,是一个类似写作过程的(thinking aloud)过程,而且具有基因特点;词化过程是认知过程中语言的自然过程,其结果是词权的确立。