Outsourcing and firm performance nexus: An analysis using the conventional and panel double-bootstrap procedure

Industrial performance is an essential element of economic progress. In this study, we examine the impact of outsourcing on industrial performance using the firm-level data of 191 textile companies in India over the period 2000–2015. First, we follow the conventional non-parametric two-stage procedure and analyse the nexus between outsourcing and firm performance under a single-objective setting. We then test the influence of outsourcing on the performance of multiple-objective firms using reverse directional distance function scores. To address the bias in efficiency estimation and the serial correlation issue in the second-stage regression, we use truncated regression and the double-bootstrap procedure for panel data analysis. Our results show an improvement in industrial performance over the study period. Our analysis following the conventional two-stage procedure shows that the outsourcing of manufacturing activities and professional jobs contributes to industrial performance. The relation between outsourcing and firm performance essentially remains the same in a more reliable analysis using a panel double bootstrap procedure.     

胶质母细胞瘤PTEN基因突变和Ki-67表达的研究

目的对胶质母细胞瘤内部PTEN基因突变以及Ki-67表达情况进行研究,并对两者关系展开探讨。方法取胶质瘤石蜡切片102例为研究对象,其中胶质母细胞瘤切片42例,对所选样本行聚合酶链反应-单链构象多态性处理分析（PCR-SSCP）,对其PTEN基因突变进行检测;并对Ki-67在胶质瘤中的表达行免疫组化SP检测法进行检测。结果在胶质母细胞瘤中,PTEN基因突变发生率与剩余60例相比明显更高（P〈0.05）;在Ki-67平均标记指数方面,胶质母细胞瘤与其它胶质瘤相比数值更高（P〈0.05）。结论在胶质母细胞瘤中,PTEN基因突变对其发生以及发展具有重要作用;其病理恶性程度则与Ki-67表达程度呈明显的正相关;Ki-67表达程度同PTEN基因突变之间的关系也表现为正相关。     

Dressed to merge — small fits fine: M&A success in the fashion and accessories industry

In this paper we examine the value implications of 192 M&A transactions in the fashion and leather accessories industry during the period from 1994 to 2009. Contrary to general cross-country evidence we find highly significant, positive abnormal returns to acquiring shareholders. Cross-sectional analysis further reveals that the key value drivers are diversifying fashion M&A transactions for smaller, profitable companies that reduce idiosyncratic risk whereas deals executed by large companies that act as frequent acquirers do not, on average, significantly enhance shareholder wealth.     

Identifying the sources of energy use change: Multiple calibration decomposition analysis and structural decomposition analysis

Decomposition methodologies are requisite to identify the sources of changes in energy use or carbon dioxide emissions. This paper is an inquiry into the theoretical properties of such decomposition methodologies. The study first presents our new decomposition methodology – the Multiple Calibration Decomposition Analysis (MCDA) – as a tool for the investigation. Then, it theoretically reexamines an established decomposition methodology – the Structural Decomposition Analysis proposed by Casler and Rose (1998). Subsequently, the study empirically investigates the properties of both methodologies, applying them to an actual case: the changes in energy use and carbon dioxide emissions in Japan during the oil crises period, when the oil price had a significant influence on the economy. The result shows that understanding the theoretical properties of decomposition methodologies is essential for a precise interpretation of empirical results.     

Generalized DEA model of fundamental analysis and its application to portfolio optimization

Fundamental analysis is used in asset selection for equity portfolio management. In this paper, a generalized data envelopment analysis (DEA) model is developed to analyze a firm’s financial statements over time in order to determine a relative financial strength indicator (RFSI) that is predictive of firm’s stock price returns. RFSI is based on maximizing the correlation between the DEA-based score of financial strength and the stock market performance. This maximization involves a difficult binary nonlinear program that requires iterative re-configuration of parameters of financial statements as inputs and outputs. We utilize a two-step heuristic algorithm that combines random sampling and local search optimization. The proposed approach is tested with 230 firms from various US technology-industries to determine optimized RFSI indicators for stock selection. Then, those selected stocks are used within portfolio optimization models to demonstrate the usefulness of the scheme for portfolio risk management.     

Resource utilisation Efficiency: A South African Provincial Evaluation

The objective of this paper is to analyse the utilisation of production capacity and total under‐utilisation in order to identify weak‐performing industries across the nine South African provinces. Detecting inefficiencies within the different provinces will help to identify where sound managerial or government intervention is required, which can contribute to the future success of the New Growth Path Framework and the Strategic Integrated Projects. Using a multistage data envelopment analysis model at the subnational level, several categories of production factors are explored: intermediate demand, labour, capital, as well as taxes and subsidies. The results emphasise South Africa's weak infrastructure and the failure to effectively promote stability in managing factor inputs. The results further illustrate that industry scale efficiency for water and electricity are poorest across all provinces, highlighting the current water and energy supply concerns in South Africa and problem areas associated with the National Development Program.     

Agglomeration and productivity: Firm-level evidence from China's textile industry

Is the spatial concentration of manufacturing activity able to enhance firm-level productivity? This question is particularly relevant to production in China, which has a huge territory and population, but a skewed distribution in terms of urban–rural development. This paper aims to examine the dynamics of industrial agglomeration and the impact of agglomeration on firm-level productivity in China's textile industry by using a firm-level panel dataset from 2000 to 2005. First, the average value of the Ellison–Glaeser (EG) index (city level) is found to be approximately 0.00019. Moreover, the calculated city EG index of spatial concentration for each year exhibits a decreasing trend of spatial agglomeration for garments and other fiber products, but an increasing trend for the textile industries' agglomeration in China. The above findings are similar to the findings of Lu and Tao (2009). Secondly and importantly, this study finds an inverted U-shape relationship between agglomeration and productivity. It suggests that while industrial agglomeration enhances firms' productivity, agglomeration diseconomies may appear if the degree of agglomeration is too high.     

Agriculture’s Inter‐industry Linkages,Aggregation Bias and Rural Policy Reforms

As agricultural policy reform and its effects have become increasingly territorialised, analyses that attempt to explain or predict impacts need to be both more localised and to identify spill‐over effects. Local and regional general equilibrium approaches have become increasingly popular because they can extend predictions of policy shocks obtainable from partial equilibrium sectoral models to identify the wider effects. However, agriculture is usually described as a single sector in input–output accounts, whereas policy shocks that affect constituent commodities with differential impacts will have inter‐industry effects that are different to those implied by average input–output coefficients. Regionalisation of aggregated input–output tables adds further to these difficulties. The objective of this study is to develop a practical method for dealing with these problems. It describes the theoretical basis of aggregation bias and shows how it can be measured, in two contrasting case study regions in the UK and Sweden. Having established that this is a significant issue, a simple but effective procedure is demonstrated, based on additional information on variable costs, which transforms policy shocks from a direct change in agricultural output to that transmitted to the suppliers of inputs. This method provides an impact close to that which could be calculated if the general equilibrium system had indeed been disaggregated, and supports use of this approach in impact studies where insufficient time or funding are available for complete disaggregation of an agricultural sector’s regional accounts.     

Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition

When analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis (DEA) models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main source of inefficiency. We propose a novel two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall efficiency into operational management efficiency and portfolio management efficiency components, we reveal the best performers, the families that deteriorated in performance, and those that improved in their performance over the sample period. We also make frontier projections for poorly performing mutual fund families and highlight how the portfolio managers have managed their funds relative to the others during financial crisis periods.     

Models of static and dynamic technical efficiency of municipal libraries in the Czech Republic

This article deals with the modelling of the static and dynamic technical efficiency under conditions of municipal libraries of municipalities with 1000–5000 inhabitants. The aim of this article is to determine the level of the technical efficiency and the factors that influence the results of modelling of the static and dynamic technical efficiency of 34 selected municipal libraries for the years of 2011 and 2015. The first model tests the technical efficiency of conventional services of public libraries. The second model tests the technical efficiency of municipal libraries’ operation. The third model tests the technical efficiency of the key revenues and expenditures. The results in the static models estimate the average technical efficiency of municipal libraries in the interval (0.691–0.759) for the input-oriented models, and in the interval (1.413–2.005) for the output-oriented models. In the dynamic models, the majority of municipal libraries in 2015 showed lower technical efficiency and productivity in comparison with the year of 2011. The factors influencing the level of efficiency and its course include the inputs and the outputs, and their combinations within individual models.