我国钢铁企业技术创新能力分布及演变态势研究

本文依据我国20家大中型上市钢铁企业1998～2013年各项技术创新指标的面板数据,在对企业技术创新能力进行综合评价的基础上,运用非参数Kernel密度估计方法及马尔可夫链分析模型,对我国钢铁企业技术创新能力的分布及发展演变态势进行了研究,研究结果显示：①我国钢铁企业技术创新能力呈现出“单峰→双峰→单峰”的演变规律,钢铁企业技术创新能力水平总体上都得到了一定程度的提高,但不同钢铁企业技术创新能力的发展速度和水平呈现出明显的不平衡性;②不同钢铁企业Kernel密度分布状态与企业所在地区铁矿资源禀赋和工业经济发展水平存在高度关联性;③钢铁企业技术创新能力经过长期发展和积累过程,客观上存在着低水平状态逐渐向高水平状态转移的现实可能性,但由于不同钢铁企业自身的差异性特征,技术创新能力发展将表现出不同步性;④加快企业优化重组和提高生产能力集中度、加强现代高新技术对钢铁产业的改造和升级、加大政府政策引导和科技资金投入是实现钢铁企业技术创新能力快速提升的重要途径。     

基于马尔科夫分析的航材消耗预测

准确预测航材消耗量对保障飞行意义重大,航材消耗的特点符合马尔科夫过程。马尔科夫预测是关于事件发生概率预测的方法,通过示例分析表明在样本数据符合条件的情况下运用马尔科夫分析对航材消耗进行预测能够取得较好的预测效果。     

欠发达省域经济差异的时空演变分析

基于1989—2012年广西89个县域经济数据,利用分解的Theil指数和马尔可夫链方法,探索欠发达省域差异的时空演变。结果表明:广西区域差异对地理尺度很敏感,县域间的差异最大,其次为地市间,区域间的发展最为平衡。三大区域内部差距的增大是促成广西整体差异拉大的主导力量。广西区域经济发展存在俱乐部趋同现象,2000—2012年间的更为显著,欠发达地区极有可能陷入"贫困陷阱"。区域间的两极分化趋势增强,趋同俱乐部总体上呈环状分布特征。高水平趋同俱乐部的分布逐渐由市辖区扩散到邻近的县域。低水平趋同俱乐部主要分布在桂西资源富集区。中高水平趋同俱乐部环绕高水平趋同俱乐部外围,而中低水平趋同俱乐部集中分布在中高水平趋同俱乐部外围。广西县域单元平稳者居多,向上转移有所增加。     

Liquidity implications of reverse logistics for retailers: A Markov chain approach

The reverse logistics process can generate periodic negative cash flows that are difficult to predict and account for, but are important when managing retailer liquidity. Uncertainties surrounding reverse logistics create the possibility that the retailer may be strained in meeting short-run financial obligations or opportunities. The current research offers a Markov chain approach to modeling the expectations, risks, and potential shocks associated with cash flows stemming from retail reverse logistics activities. Managerial recommendations for avoiding liquidity problems stemming from reverse logistics activities are provided.     

Goodwill and dynamic advertising strategies

In this paper, we empirically analyze weekly advertising policies of manufacturing firms in consumer goods markets. We assume firms engage in persuasive advertising, thus policies of firms affect the goodwill of a brand. We introduce a demand and a goodwill production function. A simple transformation of the demand function allows us to identify not only the demand parameters but also the parameters of the goodwill production function. We reconstruct the unobserved goodwill levels using these parameters and past advertising levels. We restrict our attention to Markov Perfect Equilibrium (MPE) strategies which are functions of payoff relevant state variables. Without imposing further restrictions on the dynamic competitive environment, we investigate the relationship between observed advertising strategies—which are assumed to be MPE—and payoff relevant state variables by means of several reduced form specifications. The most important determinant of advertising intensity turns out to be goodwill. We demonstrate that controlling for an advertising campaign significantly improves the explanatory power of the model. JEL Classification L13 . C73 . M30 . M37 I would like to thank Volkswagen Stiftung for the generous financial support which made this research possible.     

The double-edged sword: The positive and negative effects of switching costs on customer exit and revenge

What happens when customers have to deal with switching costs after a service failure and a poor recovery? This study seeks to address this question by proposing and testing an integrative model that incorporates customers' negative emotions as mediators between switching costs and behavioral outcomes (i.e., loyalty and revenge). The model distinguishes positive from negative switching costs, and inward from outward negative emotions. Analysis of survey data from 280 real customers who actually experienced a service failure and poor recovery with a major telecommunications firm reveals that customers react to switching costs strongly, emotionally, and sub-optimally. In contrast to most findings in the service literature, the results indicate that negative switching costs generate both exit and desire for revenge. Paradoxically, positive switching costs generate both loyalty and an even higher level of desire for revenge. These findings have important implications for the service industry.     

Linear predictability vs. bull and bear market models in strategic asset allocation decisions: evidence from UK data

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets through careful selection of predictor variables that capture business cycles and market sentiment. Yet, a distinct literature exists that shows that non-linear econometric frameworks, such as Markov switching, are also natural tools to compute optimal portfolios arising from the existence of good and bad market states. This paper examines whether and how simple VARs can produce portfolio rules similar to those obtained under a simple Markov switching, by studying the effects of expanding both the order of the VAR and the number/selection of predictor variables included. In a typical stock-bond strategic asset allocation problem for UK data, we compute the out-of-sample certainty equivalent returns for a wide range of VARs and compare these measures of performance with those of non-linear models. We conclude that most VARs cannot produce portfolio rules, hedging demands or (net of transaction costs) out-of-sample performances that approximate those obtained from simple non-linear frameworks.     

Oil price shocks on Indian economy: evidence from Toda Yamamoto and Markov regime-switching VAR

The study investigates the dynamic impact of linear and non-linear specifications of oil price shocks on macroeconomic fundamentals for an oil-importing emerging economy – India – during the period March 1991 to January 2009. The paper deploys extended vector autoregressive (VAR) model of possibly integrated processes proposed by Toda and Yamamoto, which has its advantage of application irrespective of the variables being stationary or cointegrated. The study further estimates two-state Markov regime-switch VAR model to examine regime shift behaviour of the underlying variables and its relationship. The study finds that inflation and foreign exchange reserve are greatly impacted by oil price shocks. The study also confirms that the movement in oil price is exogenous with respect to the movement of India’s macroeconomic variables and the impact of oil price shocks are asymmetric in nature with negative price shocks having more pronounced effect than positive shocks.     

The impact of decoupled subsidies on productivity in agriculture: a cross‐country analysis using microdata

The decoupling of direct payments from production introduced in the reform of the Common Agricultural Policy is expected to make production decisions more market‐oriented and farmers more productive. However, ex‐post analyses of the productivity of farms have yet to uncover any evidence of a positive impact of the decoupling policy on farm productivity. Using Irish, Danish, and Dutch farm‐level data, we identify whether the decoupling policy has contributed to productivity growth in agriculture and farm product adjustment behavior. We find some evidence that the decoupling policy had significant positive effects on farm productivity and behavioral changes related to farm specialization.     

On the determination of an optimal sample size

Abstract

In works on sample survey theory and methods the sample size is usually regarded as determined by the sampling procedure and the total cost of the survey.