企业间专业化分工与产业集群组织发展——基于交易费用的分析视角

从劳动的专业化分工入手,本文通过揭示产业集聚降低区域企业交易费用,指出发生在产业关联企业间而不是企业内的专业化分工是产业集群组织发展的基本动力。大量的产业关联企业在区域内聚集发展,不仅能够降低企业内生交易费用,而且能够降低外生交易费用,使人们劳动的专业化分工深化沿着大量地理接近的企业间而不是数量有限的企业内进行,从而为产业集群发展给出了一个具有新制度经济学含义的理论解释。     

基于主成分分析的多元线性回归用水量模型研究——以安徽省为例

用水量的准确预测对水资源规划具有重要意义。根据统计资料,选取了八项主要影响用水量变化的指标。按照主成分分析法原理,运用少数综合因子对影响用水量变化的原有八项指标进行了综合和简化,并研究其贡献率及综合效应;分析了用水量增长的特点,选用Logistic方程对综合因子进行回归分析;结合多元线性回归方法,建立了安徽省用水量模型;拟合结果表明,模型具有较高的精度;运用该模型,对安徽省2010年的用水量进行了预测;为水资源规划与管理提供参考依据。     

基于可持续发展的区域矿产资源配置问题研究

本文基于矿产资源的有限性和不可再生性,确立了资源优化配置的多目标准则;在全面分析影响区域矿产资源优化配置的社会经济发展需求因素,区域资源基础及潜力因素,资源开发利用的能力和水平因素,区域生态环境承载力因素,资源安全储备因素,区域外资源可供性因素,配套资源及基础设施支持因素的基础上,建立了区域矿产资源合理开发规模和速度的评价指标体系和分析计算模型;就河北省矿产资源的合理开发问题进行了具体的实证分析,研究了多目标准则下区域矿产资源开发和利用在时间维度上的优化配置问题,为合理规划和调整区域矿产资源开发利用战略提供了有益参考。     

Vertical Restraints and Market Access

This paper analyzes vertical restraints in relation to market access issues. In Section II we briefly review the recent three major trade conflicts between Japan and the USA in light of vertical restraints. In Section III we review the major policy lessons of the economics literature of vertical restraints, and analyze whether we need a special treatment for vertical restraints abroad for a market access reason. In Section IV we evaluate the policy options towards foreign foreclosure and suggest that nondiscriminatory application of foreign or home competition policy should be the mechanism to address such concern instead of trade policy actions such as voluntary import expansions.     

Multiple Listing Service Subsidies and Economic Efficiency

In an earlier article in this journal, Sefton and Yavas (1995) concluded that subsidizing a monopoly multiple listing service (MLS) can be efficient when the curvature of the representative consumer's demand function leads to overshifting. This paper extends their analysis to a multiple-consumer demand model. It shows that, for the generalized demand configuration considered here, in general, there is no Pareto superior MLS subsidy supportable by nondiscriminatory MLS consumer taxes when the Pareto ranking is imposed without the Hicks–Kaldor compensation principle.     

对金融衍生品市场内幕交易的一些新思考--澳大利亚现行的反内幕交易法及其带给我们的若干启示

本文着眼于澳大利亚在治理金融衍生品市场内幕交易中积累的丰富经验,针对一个崭新的前瞻性课题,即金融衍生品市场的内幕交易问题展开研究。作者认为,由于内幕交易与信息非对称性之间存在的内在冲突,实际上反内幕交易法规很难有效地阻止金融衍生品的内幕交易行为,过于复杂的反内幕交易法规会对市场产生一些负面影响,而放松内幕交易监管这一新思维将对市场的良性发展更为有益,应该让市场来决定内幕交易行为的“存亡”。但目前最为现实、温和的选择仍然是修改现行反内幕交易法,以维护市场的公平性和有效性。最后,笔者对如何缓解中国目前内幕交易猖獗的现状提出建议。     

Telecommunications policy and individuals with disabilities: Issues of accessibility and social inclusion in the policy and research agenda

Information and communications technologies have become an integral part of life in an information society, affecting employment, education and many other daily activities. For individuals with disabilities, equal access to telecommunications remains a concern, as many technologies that are developed do not allow for equal access. Law and policy have made significant progress in some nations, but sizeable barriers remain to the social inclusion of individuals with disabilities in telecommunications technologies and services. This paper examines the importance of equal access to telecommunications for individuals with disabilities in both the formulation and the implementation of policy. Analyzing issues of policy and implementation, this paper discusses policy questions and potential areas of research to better understand the relationship of telecommunications policy to access for persons with disabilities.     

Assessing the Least Squares Monte-Carlo Approach to American Option Valuation

A detailed analysis of the Least Squares Monte-Carlo (LSM) approach to American option valuation suggested in Longstaff and Schwartz (2001) is performed. We compare the specification of the cross-sectional regressions with Laguerre polynomials used in Longstaff and Schwartz (2001) with alternative specifications and show that some of these have numerically better properties. Furthermore, each of these specifications leads to a trade-off between the time used to calculate a price and the precision of that price. Comparing the method-specific trade-offs reveals that a modified specification using ordinary monomials is preferred over the specification based on Laguerre polynomials. Next, we generalize the pricing problem by considering options on multiple assets and we show that the LSM method can be implemented easily for dimensions as high as ten or more. Furthermore, we show that the LSM method is computationally more efficient than existing numerical methods. In particular, when the number of assets is high, say five, Finite Difference methods are infeasible, and we show that our modified LSM method is superior to the Binomial Model.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

A Multiple and Partial Wavelet Analysis of the Oil Price,Inflation, Exchange Rate,and Economic Growth Nexus in Saudi Arabia

This article provides a fresh insight into the dynamic nexus between oil prices, the Saudi/US dollar exchange rate, inflation, and output growth rate in Saudi Arabia’ economy, using novel Morlet’ wavelet methods. Specifically, it implements various tools of methodology: the continuous wavelet power spectrum, the cross-wavelet power spectrum, the wavelet coherency, the multiple and the partial wavelet coherence to the annual sample period 1969–2014. Our results unveil that the relationships among the variables evolve through time and frequency. From the time-domain view, we show strong but non-homogenous linkages between the four variables. From the frequency-domain view, we uncover significant wavelet coherences and strong lead-lag relationships. From an economic view, the wavelet analysis shows that Saudi economy is still exposed to several global risk factors, which are mainly related to the oil market volatility, and the pegging of the local currency to the US dollar. Such risk factors strongly and negatively affect the real economic growth, exert more pressure on inflation, and substantially limit the freedom to pursue an independent monetary policy.