Unemployment disparities and regional wage flexibility: comparing EU members and EU-accession countries

This paper provides empirical evidence on regional labor market flexibility in Europe and, in particular, in the EU-accession countries in Central and Eastern Europe. Whereas substantial regional disparities in unemployment are found for pre-accession EU member countries as well as for accession countries, an empirical analysis taking account of spatial effects shows that regional wage flexibility is significantly higher for accession countries. Moreover, unemployment disparities are found to be less persistent in the accession countries.

The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

Forecasting of electricity costs based on an enhanced gray-based learning model: A case study of renewable energy in Taiwan

This work presents a novel gray-based cost efficiency (GCE) model that integrates the gray forecasting model into a two-factor cost efficiency curve model for renewable energy (RE) technologies and identifies the optimal forecasting model for power generation cost of RE technologies. The analytical framework of proposed GCE model improves short-term prediction of power generation cost, and can be applied during the early developmental stages for RE technologies. Empirical analysis is based on wind power data for Taiwan. Time lag of knowledge stock was simulated to represent the actual relationship between R&D expenditures and cost reductions in power generation by knowledge stock. Analytical results demonstrate the GCE model is a useful tool to quantify the influences of cost reductions in power generation. The implications of analytical results are that institutional policy instruments play an important role in RE technologies achieving cost reductions and market adoption. The proposed GCE model can be applied to all high-technology cases, and particularly to RE technologies. The study concludes by outlining the limitations of the proposed GCE model and directions for further research.     

Assessing the historical role of credit: Business cycles,financial crises and the legacy of Charles S. Peirce

This paper provides a historical overview of financial crises and their origins. The objective is to discuss a few of the modern statistical methods that can be used to evaluate predictors of these rare events. The problem involves the prediction of binary events, and therefore fits modern statistical learning, signal processing theory, and classification methods. The discussion also emphasizes the need for statistics and computational techniques to be supplemented with economics. The success of a forecast in this environment hinges on the economic consequences of the actions taken as a result of the forecast, rather than on typical statistical metrics of prediction accuracy.     

基于堆垛机S型曲线运动模型的matlab仿真分析

利用matlab仿真软件对堆垛机的三种S型曲线模型进行分析。在仿真的过程中,引进了跃度的概念,利用做功的基本公式推导出电机的输出瞬时功率。最后通过比较三种控制方法,认为变跃度的方式不仅可以解决曲线平滑的问题,还可以降低选型电机的功率大小。     

五次函数及其性质的研究

本文通过对三次函数和四次函数及其曲线性质的研究,利用各次幂的系数来确定五次函数的极值点以及拐点的存的条件,并给出了求拐点和极值的计算公式。     

ECONOMIC SANCTIONS REVISITED: ADDITIONAL INSIGHTS INTO WHY THEY FAIL

Economic sanctions have a poor track record in achieving their objectives. In most cases, they are ineffective in bringing about policy change, cause increased suffering in the sanctioned country and reduce opportunities for business. This paper provides additional insights into why sanctions fail by examining two overlooked factors: power–dependency theory and pressure for political stability.     

The term structures of equity and interest rates

This paper proposes a dynamic risk-based model capable of jointly explaining the term structure of interest rates, returns on the aggregate market, and the risk and return characteristics of value and growth stocks. Both the term structure of interest rates and returns on value and growth stocks convey information about how the representative investor values cash flows of different maturities. We model how the representative investor perceives risks of these cash flows by specifying a parsimonious stochastic discount factor for the economy. Shocks to dividend growth, the real interest rate, and expected inflation are priced, but shocks to the price of risk are not. Given reasonable assumptions for dividends and inflation, we show that the model can simultaneously account for the behavior of aggregate stock returns, an upward-sloping yield curve, the failure of the expectations hypothesis, and the poor performance of the capital asset pricing model.     

广义供给定律与房地产投机

在复杂的市场中,商品供给量的变化主要受制于行业利润率与平均利润率的比较,呈现随平均利润率上下波动的趋势。广义供给定律从平均利润率与行业利润率的角度研究了商品供给与价格的关系,揭示了商品供给量变化的规律以及房地产投机的根源。     

中国城市竞争力与基础设施关系的实证研究

城市竞争力是城市产业创造价值的综合能力，提高城市竞争力必须清楚影响城市竞争力的关键因素，本文提出城市竞争力与基础设施竞争力关系的假说后，选取中国部分城市的样本指标数据，利用主成份分析方法，构造城市竞争力和基础设施竞争力指数，运用模糊曲线分析方法，对理论假说进行了初步的检验分析，结果显示：基础设施是城市竞争力最重要的成或影响力量，技术性基础设计对城市竞争力越来越至关重要。