网络视角下中国各地区创新过程效率研究:基于我国八大经济区的比较

创新效率问题是学术界关注的焦点.本文从解剖创新过程中的要素流动机理出发,揭示了创新过程的网络化特征,并通过构建网络DEA模型,测算了创新过程整体效率、"创新资源转换"效率与"创新知识转化"效率.以我国八大经济区为研究对象发现:"创新资源转换"与"创新知识转化"效率的主要影响因素不同,前者受到R&D人员区域分布结构影响,后者受到各地区经济发展水平差异的影响;区域创新过程整体效率与"创新知识转化"效率高度相关;区域创新整体效率与"创新知识转化"效率在样本期间稳步上升;整体效率与"创新知识转化"效率出现地区追赶的收敛现象,"创新资源转换"阶段是整体效率发散的隐患.     

Top pay transparency in Europe: codes,convergence and clichés

Following the waves of corporate scandals and the increasing attention to corporate governance, the transparency of reporting on director-level pay has increased across Europe. This article examines the extent of convergence in laws, codes and corporate reporting practices in regard to director-level pay in France, Germany, Switzerland and the UK. The paper analyses annual reports and the websites of 23 companies, using institutional theory to discuss the coercive, normative and mimetic pressures for convergence that are revealed, not just in the laws and codes in each country, but also in the standardized wording in the relevant sections of reports which have become clichés.     

MC's for MCMC'ists

We develop a minimum amount of theory of Markov chains at as low a level of abstraction as possible in order to prove two fundamental probability laws for standard Markov chain Monte Carlo algorithms:
1. The law of large numbers explains why the algorithm works: it states that the empirical means calculated from the samples converge towards their "true" expected values, viz. expectations with respect to the invariant distribution of the associated Markov chain (=the target distribution of the simulation).
2. The central limit theorem expresses the deviations of the empirical means from their expected values in terms of asymptotically normally distributed random variables. We also present a formula and an estimator for the associated variance.     

Cross sectional and panel estimation of convergence

Cross sectional estimation of convergence regressions is known to be hazardous if there is convergence towards heterogeneous steady state values. In this paper, Monte Carlo methods are used to investigate the implications of this parameter heterogeneity problem. The cross sectional and pooled OLS estimators are compared with a panel estimator which is unaffected by heterogeneity. If there is heterogeneity, the latter outperforms both the unconditional and conditional cross sectional and pooled OLS estimators.     

网络型能源产业融合动因与改革进程

回顾网络产业融合理论以及电力产业和天然气产业的市场化改革历程,分析网络产业分拆式改革后融合化发展的动因,结果显示:放松规制、信息技术发展、市场竞争因素以及消费者需求是网络型能源产业分拆后再融合的主要动因.市场化改革历程表明在各种因素的推动下,我国网络型能源产业正在逐步形成融合化发展趋势.     

Anonymous social influence

We study a stochastic model of influence where agents have “yes” or “no” inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modeled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averages are only used to some extent. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like “most” or “at least a few”.     

Terms of trade, catch-up, and home-market effect: The example of Japan

This paper explores theoretically and empirically the medium- and long-run relation of the terms of trade (ratio of traded goods prices) and economic growth of a pair of countries—one of which experiences a major catch-up process towards the other. Two theoretical interdependencies between the terms of trade and economic growth are offered: the home-market effect and the productivity-shock effect. These two effects are tested against each other in a cointegration analysis on data for Japan and the US from 1971 until 1997. Income is cointegrated with the terms of trade. The relevant empirical channel is the home-market effect. However, financial-market effects appear also to be relevant. J. Japanese Int. Economies 21 (4) (2007) 470–488.     

The rise and rise of IFRS: An examination of IFRS diffusion

We seek to understand the ever-increasing push towards the international harmonization of accounting standards and particularly the inexorable rise of standards produced by the International Accounting Standards Board (IASB). While the primary justifications for the increasing recognition given to these standards (IFRS) are economic, we question whether the empirical evidence to date has yielded convincing support for these arguments. We therefore offer an alternative explanation for the origin and diffusion of IFRS that incorporates social and political factors. Outsourcing the manufacture of accounting standards to a single private agency appears to be a rational, lower cost option – lowering both economic and political costs for individual states as long as they continue to retain residual decision rights with respect to the adoption of IFRS. However, such outsourcing must also be perceived to be legitimate. IFRS confer institutionalized legitimacy because they possess three characteristics required of a technology for global governance. These are sponsorship by powerful interest groups/regulators, internationality and plasticity. We therefore conclude that the widespread diffusion today of IFRS can at best be only partially explained as an economically rational phenomenon. Rather, the demand for legitimate action in the face of tightly coupled and complex global markets is at least equally important in generating support for IFRS.     

Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions?

Using a spatial econometric perspective, the speed of convergence for a sample of 163 regions of the European Union (EU) over the period 1981–1996 is estimated. For this purpose, we use a specification strategy which allows an explicit modeling of both spatial heterogeneity and spatial autocorrelation found in the analyzed sample. The estimated final model combines groupwise heterocedasticity, the identification of two spatial regimes and spatial dependence. Our results show how an appropriate consideration of the role of spatial effects can shed new insights into the European convergence process. We find that regions in the EU cohesion-fund countries (Ireland, Greece, Portugal and Spain) are converging separately from the rest of regions of the EU. Our estimations indicate that over the analyzed period, there was a faster conditional convergence in relative income levels of the regions belonging to Cohesion countries (5.3%) than in the rest of the regions of the EU (3.3%). Therefore, our results contrast with other evidence that points to the fact that the convergence process in Europe has weakened or even has stopped at the beginning of the 1980s. Moreover, our work shows clear evidence of separate spatial convergence clubs among EU regions.     

Technology spillover through trade and TFP convergence: 135 years of evidence for the OECD countries

Using a new dataset on imports of technology and total factor productivity (TFP) over 135 years for the OECD countries, this paper tests whether knowledge has been transmitted internationally through the channel of trade. The empirical estimates show that there is a robust relationship between TFP and imports of knowledge and that 93% of the increase in TFP over the past century has been solely due to imports of knowledge. Furthermore, it is shown that knowledge spillovers have been an important contributing factor behind the TFP convergence among the OECD countries over the period 1870 to 2004.