Sectoral patterns of firm exit in Italian provinces

There is considerable variation in the firm exit rate across the 103 provinces in Italy. This paper investigates a range of determinants of the exit rate for twelve different sectors in the Italian provinces for a period of eleven years. The analysis shows that the exit rate is positively affected by entry in the previous year (displacement) in the same sector. Previous exit has a different effect for the manufacturing industry as compared to the business services. More specifically, exit persists in manufacturing while in the business services it is rather exit in related sectors in the same province that leads to increased exit, probably due to the loss of clients or suppliers. The presence of industrial districts diminishes exit, especially in two manufacturing sectors (Food and Clothing), Commerce and Transport. Provinces with strong trademark activity appear to have lower exit rates.     

Patents, firm size and financial constraints: an empirical analysis for a panel of Italian manufacturing firms

The paper empirically investigates the issue of financial constraintsto investment, focusing on its relationship with innovationactivities. The study is based on the analysis of a cross-industriespanel of 804 Italian companies, observed through the years 1995–2000.The main objective of the study is to highlight whether thereare financial determinants underlying the strong bias of patentingactivity towards larger companies in the Italian economy. Byapplying a dynamic panel analysis, we found that only the firmsshowing lower financial constraints are able to keep a sustainedpatenting profile through time. Our evidence suggests the existenceof an imperfect capital market in the Italian economy, particularlyin the case of medium-sized companies, which tend to delay inefficientlythe start of in-house R&D activities.     

Rethinking the import-productivity nexus for Italian manufacturing

We provide evidence on the firm level productivity effects of imports of intermediates. By exploiting a large panel of Italian manufacturing firms, we are able to separately explore the role of importing from high and low income countries. Importing does not permanently affect the firm productivity growth. This finding holds both when we test for the import entry by means of Propensity Score Matching techniques and when we analyse the import intensity within a dynamic panel data model framework. On the contrary, we confirm the existence of self-selection into importing. Also, our evidence supports the learning-by-exporting effects in Italian manufacturing and we prove that this result is robust to the control of firm import activity.     

Entry,exit and productivity growth: Spanish manufacturing during the eighties

This paper analyses the role played by both competitive pressure (increasing imports) and the restructuring of industries through entry and exit in productivity growth of Spanish manufacturing during the eighties, the key period of its accession to the EEC economy. A GMM panel estimation of the determinants of corrected Solow residual for 75 manufacturing during 1979-1990, shows that these forces accounted for 80% of productivity growth, playing an important role the displacement of inefficient firms by competitive entry.JEL Classification: D24, C33We are grateful to S. Bentolila, F. Bourguignon, T. Coelli, J. Dolado, A. de la Fuente, J. García, L. Rodríguez, J. Segura, X. Vives and an anonymous referee for useful comments on previous versions of this paper. All remaining errors are our own.     

Multinational enterprises and innovation: firm level evidence on spillover via R&D collaboration

This paper estimates the knowledge spillovers to multinational enterprises (MNEs) in Sweden via domestic and foreign R&;D collaboration. Applying an augmented generalized method of moments-estimator that accounts for selectivity and simultaneity bias on data from 1,249 MNEs, our research has resulted in five distinct conclusions. First, we find that the knowledge spillovers via R&;D collaboration typically take place as a network phenomenon rather than a process between the local firm and a single innovation partner. Second, successful collaboration is conditional on the presence of foreign innovation partners in the network. Third, output is found to be an increasing function of R&;D-collaboration only among non-export oriented firms. Fourth, foreign MNEs, selling mainly to local and regional markets in Sweden, benefit more from R&;D collaboration than do other firms. Overall, the results show that demand-driven motives that require entrepreneurial knowledge to adapt products to local consumers and markets are more important for successful R&;D-collaboration than supply-driven motives.     

论提高物流道路运输服务企业的核心竞争力

物流道路运输服务企业核心竞争力是物流道路运输服务企业面对市场竞争的优势所在。就此,在阐述物流道路运输服务企业和企业核心竞争力概念的基础上,提出物流道路运输服务企业应进行市场定位,针对目标客户做好业务创新服务,提供增值服务;加强人才培养和企业文化等方面的建设,提高企业的物流服务水平和核心竞争力。     

The importance of employment status in determining exit rates from nursing

To mitigate nurse shortages, health care decision makers tend to employ retention strategies that assume nurses employed in full-time, part-time, or casual positions and working in different sectors have similar preferences for work. However, this assumption has not been validated in the literature. The relationship between a nurse's propensity to exit the nurse profession in Ontario and employment status was explored by building an extended Cox Proportional Hazards Regression Model using a counting process technique. The differential exit patterns between part-time and casual nurses suggest that the common practice of treating part-time and casual nurses as equivalent is misleading. Health care decision makers should consider nurse retention strategies specifically targeting casual nurses because this segment of the profession is at the greatest risk of leaving. Nurse executives and nurse managers should investigate the different work preferences of part-time and casual nurses to devise tailored rather than "one-size fits all" nurse retention strategies to retain casual nurses.     

Gender earnings inequality in the service and manufacturing industries in the U.S.

This paper compares earnings inequality between women and men in a growing sector of the U.S. economy – the service sector, and a shrinking sector – manufacturing. We examine the hypothesis that deindustrialization will reduce inequality, and find that the absolute magnitude of the gender earnings gap is, in fact, smaller in the service sector. Decomposition analysis is used to partition the gender earnings gap into three parts: (1) earnings differences due to differences in mean characteristics – such as education and experience; (2) earnings differences due to preferential treatment of men; and (3) earnings differences due to disadvantageous treatment of women. The latter two constitute estimates of gender discrimination. The results of this study suggest that, ceteris paribus, deirndustrialization will likely reduce the gender gap in hourly earnings. However, this will come at the cost of lower earnings for both males and females, with the drop in earnings being particularly large for males. While deindustrialization is predicted to reduce the absolute magnitude of male-female earnings inequality, evidence suggests that gender discrimination will persist – discrimination explains about 60 percent of the gender wage gap in both the service and the manufacturing sectors.     

Measuring the influences of supplier selection and supply chain tasks on firm performance among manufacturing firms in India

The primary objective of this research is to empirically probe the various aspects and variables that have been already addressed in the previous literature related to supplier selection criterion, supply effort management and firm performance. Further, this research aims to develop a measurement framework and pragmatically prove the framework through a measurement model. First, a factor structure for various constructs is made and the initial validity is determined from practicing managers and academicians. This research employs survey method and the data is collected from 358 supply chain professionals working in manufacturing firms in India. A measurement model is developed and proved with various tests of reliability and validity. Finally, three major latent constructs were formulated, namely, criterion of supplier selection, supply effort management and firm performance. The factor scores of these latent variables were used for further analysis. A six-stage approach was followed in the analysis of data. Firm performance was regressed against supplier selection criterion and supply effort management. The results indicate that the predictive variable has positive and significant effect on firm performance and they do not have any interaction and multicollinearity effects.     

Testing for fixity of the labour input under non competitive behaviour in Italian and French manufacturing

The flexibility in labour markets and the degree of competition in output markets are investigated in the context of the Italian and French manufacturing sectors. Conventional wisdom seems to point out that in countries with institutional constraints in the labour market it may not be easier to optimize over labour than over capital. We test whether labour is fixed starting with a measure of labour as total hours worked. As the hypothesis cannot be rejected, we do not proceed to test a further hypothesis, based on the measurement of labour as number of workers. We use a variable cost model supplemented with a markup pricing rule to allow for non competitive market structure. From the results it emerges that the output markets are non competitive. We derive analytically and provide a measurement of both short-run and intermediate-run markups. We also derive a measure of the long-run cost-minimizing level of labour: the ratio of optimal to actual level gives the degree of under- or over-utilization of labour.     

The role of legal status in influencing bank financing and new firm growth

We provide an empirical assessment of the suggestion, based on Severo (2012), to use a systemic liquidity risk index (SLRI) for estimating liquidity premia that could be charged on large banks as a compensation for the implicit liquidity support obtained from public authorities (Blancher et al., 2013). To this end we compute, over the period January 2004–December 2012, a parsimonious and fully documented SLRI. We also investigate its statistical significance in explaining the level and variability of stock returns for a group of large international banks across the subprime and the Eurozone sovereign debt crises. Main findings are two: our more parsimonious SLRI is close to Severo’s but provides a stronger signal of liquidity stress and recovery episodes; we consistently fail to detect, within and across the two crises, a stable group of banks among the global systemically important ones listed by the Financial Stability Board.     

Understanding the determinants of information technology adoption: evidence from Italian manufacturing firms

Our empirical study aims at identifying the determinants of Information Technology (IT) adoption by small and medium sized Italian manufacturing firms. An ordered probit analysis is conducted on a sample of about 17?000 firms surveyed by the Italian Statistical Institute, using as a dependent variable an index of IT adoption. Our results show that firm size, geographical location, functional composition of the workforce, R&;D activity, subcontracting, exports and collaboration between firms are all highly significant determinants of IT adoption. Such results are consistent with most of the predictions advanced in the few studies existing on this topic.     

Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors

The purpose of this article is to construct a dynamic stochastic production frontier incorporating the sluggish adjustment of inputs, to measure the speed of adjustment of output, and to compare the technical efficiency estimates from this dynamic model to those from a static model. By assuming instantaneous adjustment of all inputs, a static model may underestimate technical efficiency of a production unit in the short-run. However, in this article I show that under the assumption of similar adjustment speed for all inputs, a linear partial adjustment scheme for output characterizes the dynamic production frontier. The dynamic frontier with time-invariant technical efficiency is estimated using the system GMM (generalized method of moments) estimator. Applying the model and estimation method on a panel data set spanning 9?years of data on private manufacturing establishments in Egypt, I find that (1) the speed of adjustment of output is significantly lower than unity, (2) the static model underestimates technical efficiency by 4.5 percentage points on average, and (3) the ranking of production units based on their technical efficiency measures changes when the lagged adjustment process of inputs is taken into account.     

Differentials at firm level productive capacity realization in Bangladesh food manufacturing: an empirical analysis

This article empirically estimates the firm-specific productive capacity realization (PCR) indices using the stochastic frontier production function and analyses a number of variables explaining realization rates across firms and over time. Following Battese and Coelli (1995 Battese, GE and Coelli, TJ. 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20: 325–32. [Crossref] , [Google Scholar]) the stochastic frontier production function is used to estimate capacity output and thereby PCR. Using the Firm level panel data from Bangladesh food manufacturing, the results show that capacity realization rates widely vary across firms and over time. The average rate of realization is about 65% implying that most of the firms are producing away from their full production capacity. This article also identifies several firm-specific and policy-related variables explaining capacity realization. The results show that firm size (SZE) and outward orientation (OPN) have positive while capital intensity (CNSTY), market structure (MSTRE) and effective rate of assistance (ERA) have negative impact on realization rates. Strikingly, both policy-related variables are statistically insignificant. Sensitivity analysis using the ‘extreme bound analysis’ also confirms the fragility (insignificance) of these two variables. Excessive support to firms and piecemeal liberalization reform may be attributed to these results. Thus, further reform of the domestic and trade policies are suggested to ensure competition and competitiveness of the manufacturing sector and of the country.     

Patterns of innovation diffusion and technological competition in Portuguese manufacturing and service industries

This article uses data from the Portuguese Community Innovation Survey (CIS III) to analyse the inter‐industry heterogeneity in the diffusion of innovations and level of technological competition in Portuguese manufacturing and service industries. The industries are classified with reference to the relationship between the level of participation in innovation and the strategies of innovative firms. Methods of multivariate statistics are used to synthesize the data and to group the observations into subsets. Four distinctive innovation patterns are identified, defined along the following dimensions: output‐orientation of innovation, importance of disembodied innovation, role of technologically advanced innovation and level of innovation opportunities. It is also found that high levels of technological competition tend to occur in sectors with relatively low dimension, productivity and overall investment.     

我国企业承接国际服务外包的问题与对策

20世纪90年代以来,在经济全球化和企业之间的竞争愈演愈烈的形势下,发达国家跨国公司纷纷将其经济活动外包到发展中国家,在全球范围内寻找承接外包业务的合作伙伴,越来越多的国家和企业被纳入国际服务外包的全球网络中.     

The impact of material and service outsourcing on employment in Thailand's manufacturing industries

With increasing emphasis on the importance of outsourcing, the ‘fear of job losses’ has been of significant interest, not only in the developed countries, but also in the developing countries. In this article, we empirically investigate the impacts of intermediate inputs (material) and services outsourcing on the relative demands for skilled and unskilled labour in Thailand's manufacturing sectors from 1999 to 2003. Based on the aggregation of establishment-level data at 4-digit industrial classification, we find that both intermediate inputs and service outsourcing are relatively skill-biased. Further, our results show that intermediate inputs outsourcing has negative impacts on the relative demands for skilled and unskilled workers, whereas service outsourcing shifts the demand towards skilled workers at the expense of unskilled workers.     

Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms

This article investigates the sources and determinants of output growth of Italian manufacturing firms. Applying stochastic frontier techniques, we decompose output growth into factor accumulation and TFP growth for the period 1998–2003. TFP growth is further decomposed into technological change, efficiency change and scale effects. Two key results emerge from the analysis. After confirming that both input accumulation and TFP growth are important in explaining output growth, we show that efficiency change (technological catch-up) is the most significant component of TFP growth in explaining output growth distribution. Furthermore, using a specific model of the asymmetric error component, we find that R&D spillovers, banking efficiency and public infrastructures have statistically significant and economically relevant effects on technological catch-up.