Strategic groups as reference groups: Theory,modeling and empirical examination of industry and competitive strategy

Previous studies on strategic groups have mainly focused on their static characteristics in order to test the theory of strategic groups and intraindustry performance differences (Porter, 1979; Cool and Schendel, 1988; Fiegenbaum and Thomas, 1990). In contrast, this study takes a longitudinal, dynamic perspective and describes the forces driving strategic group membership and structural evolution. It proposes that a strategic group acts as a reference point for group members in formulating competitive strategy. A partial adjustment model of strategic mobility is then developed which incorporates the idea of a strategic group as a reference group. It models strategic change in an industry both within and across strategic groups. The model is tested in the context of an in-depth industry analysis of the more significant firms in the insurance industry over the 1970-84 time period. The results suggest that strategic groups act as reference points for firm strategies and that predictions of future firm strategies and industry/group structures may also be successfully derived.     

Adjustment, Stabilisation and the Analysis of the Employment Structure in Turkey: An Input- Output Approach

The aim of the paper is to examine the effects on employment of the large-scale structural adjustment programme undertaken by Turkey from the early 1980s onwards. In this respect, we particularly analyse how appropriate the choices of factor intensity after structural adjustment programme have been in the domestic production in comparison with the availability of domestic factor endowment. Our findings show that foreign trade in intermediate goods creates extra use of domestic labour, which can be considered as the labour cost of importing intermediate goods. This is the case in the majority of industries in the pre- and post-liberalisation period in Turkey. However, the capacity of using extra labour as a result of importing intermediate goods appeared to have decreased in the post-liberalisation period.     

Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sectors are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975–1992 into the effects of capital intensification, learning and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.JEL Classification: O14, O30, O40, O47     

Applying efficiency measurement techniques to the measurement of productivity change

Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has.     

In at the deep end: Conducting processual research on organisational change

This article provides a series of reflections on the practice of carrying out processual research on organisational change. At a broad level, some of the main tasks associated with conducting company case studies are described and the benefits of this approach for dealing with complex change data are outlined. At a more specific level, the article addresses three main areas tied to the actual “doing” of processual research. First, the notion of tacit knowledge and “getting your hands dirty” by engaging in ongoing in-depth fieldwork. Second, the design and implementation of a longitudinal case study research programme. Third, the advantages and concerns of combining a range of different data collecting techniques in carrying out processual studies. Overall, the main intention is to provide some useful reflections and practical insights, as well as providing something of the flavour of carrying out this type of research.     

Blocked-Error-R 2: A Conceptually Improved Definition of the Proportion of Explained Variance in Models Containing Loops or Correlated Residuals

Bentler and Raykov (2000, Journal of Applied Psychology 85: 125–131), and Jöreskog (1999a, http://www.ssicentral.com/lisrel/column3.htm, 1999b http://www.ssicentral. com/lisrel/column5.htm) proposed procedures for calculating R ² for dependent variables involved in loops or possessing correlated errors. This article demonstrates that Bentler and Raykov’s procedure can not be routinely interpreted as a “proportion” of explained variance, while Jöreskog’s reduced-form calculation is unnecessarily restrictive. The new blocked-error-R ² (beR ²) uses a minimal hypothetical causal intervention to resolve the variance-partitioning ambiguities created by loops and correlated errors. Hayduk (1996) discussed how stabilising feedback models – models capable of counteracting external perturbations – can result in an acceptable error variance which exceeds the variance of the dependent variable to which that error is attached. For variables included within loops, whether stabilising or not, beR ² provides the same value as Hayduk’s (1996) loop-adjusted-R ². For variables not involved in loops and not displaying correlated residuals, beR ² reports the same value as the traditional regression R ². Thus, beR ² provides a conceptualisation of the proportion of explained variance that spans both recursive and nonrecursive structural equation models. A procedure for calculating beR ² in any SEM program is provided.     

结构异质性对中国能源高质量发展的影响研究

基于结构异质性对能源高质量发展影响的理论分析,使用稀疏主成分分析方法测度中国能源高质量发展水平,构建中国和八大经济区域面板分位数回归模型,实证研究了结构异质性对中国能源高质量发展的影响。结果表明：2003—2020年中国能源高质量发展水平有所提升,但仍存在明显的区域发展不平衡问题,西部地区和北部沿海地区的能源高质量发展水平更高。产业结构与能源高质量发展水平呈负相关关系,能源消费结构、资本配置结构与能源高质量发展水平呈正相关关系。     

信息披露监管模式变更影响企业投资效率吗？——基于双重差分模型的实证检验

基于制度变迁理论考察信息披露监管模式由“辖区监管”变更为“分行业监管”对投资效率的影响。研究发现：分行业信息披露监管模式的实施有效抑制了上市公司非效率投资行为,且对于低质量信息披露以及高盈余管理行为的上市公司抑制效应更加明显;提高会计信息可比性,降低代理成本是其发挥抑制作用的重要路径。在排除了替代性解释和内生性问题以及通过安慰剂检验后,研究结论仍然成立。     

中国证券市场发展战略研究

本文从制度变迁的角度来探寻中国证券市场的历史变迁与发展战略.本文首先全面阐述了当代金融理论对证券市场功能与作用条件的再认识,认为证券市场的功能发挥必然依靠一国的经济、信用与法治基础.而这更依赖于中国证券市场的制度创新,随后本文在梳理了证券市场制度变迁过程中的几个基本要素的基础上,针对我国目前证券市场发展的现状与存在的问题,指出制度创新单一主体的局限性,提出了以政府为主、市场为辅转化为以市场为主、政府为辅的渐进式制度变迁路径.     

基金业绩、基金经理更换与投资者财富效应——一项基于我国资本市场的实证研究

从基金管理公司内部的委托—代理关系出发,以封闭式基金为研究对象,从基金经理调整现状、基金业绩与基金经理调整的关系、基金经理调整公告的市场反应三个方面,对基金经理变动进行了实证分析。研究发现:基金业绩确实对基金经理更换及更换后的去向具有一定的参考价值,但基金经理更换并没有使更换经理后的基金业绩显著改善;基金经理公告确实引起了基金市场价格的变动,但没有使基金投资者的财富显著增加。