Introduction to APPC-2018, a Special Issue of the Journal of Productivity Analysis, “Novel Applications of Efficiency and Productivity Analyses in the Asia-Pacific Region”

In this study, an appropriate nonparametric two-step approach to conditional efficiencies is used to investigate how size and time affect the performance of companies. Using a dataset of Italian manufacturing firms over the period 2006–2015, we explore the effect of size on the attainable production set (input-output space) and on the efficiency distribution, without making any a priori assumptions on the role of size on efficiency. Main findings suggest that size positively affects the efficiency of companies. By exploring the idiosyncratic efficiency, an additional empirical result from the conditional efficiency approach shows that the economic disparities between North, Centre and South of Italy not only limit the foreign investment but also seem to penalize the productivity of Italian-owned companies.

     

Training and organisational innovations in a local industrial system: empirical evidence from Emilia‐Romagna1

The article studies the driving forces of firm training using a survey‐based dataset of manufacturing firms in the Emilia‐Romagna region, Northern Italy. The data are derived from the responses to a structured questionnaire administered in 2002 to the management of a representative sample of firms with more than 50 employees in the highly industrialised province of Reggio Emilia. Firms’ training choices are analysed using a theoretical/conceptual framework based on the notion of complementarity among productive factors. Training is provided as long as it favours the establishment of complementary relationships among the skills it develops and other inputs. The main factors associated with training include structural characteristics, HRM practices, workforce features, labour management and performance of the firm. Training activities emerge as being positively associated with organisational practices that affect the whole firm: workforce skill level, firm size, firm productivity and labour flexibility. The role of HRM practices in driving training is brought into question. These are key issues for the current debate on the development of local systems in the European and Italian context. The high and joint relevance of structural variables and labour demand‐related factors shows that regional industrial policies must support labour policies within an integrated policy effort aimed at increasing potential firm productivity.     

Explaining Total Factor Productivity at Firm Level in Italy: Does Location Matter?

Abstract

This study analyses how firms' internal variables and regional factors affect total factor productivity (TFP) of Italian manufacturing firms. Due to the hierarchical structure of our data, we employ a multilevel model that allows for a clear distinction between firm and region-specific effects. Results refer to 2004–2006 and show, as expected, the importance of firm-specific determinants of TFP. At the same time, they indicate that location matters in the sense that the context where firms operate plays a crucial role in determining the level of TFP. In more detail, we find that the regional endowment of infrastructure, the efficiency of local administration and the investments in R&D exert a positive effect on firms' performance.     

Decomposing multifactor productivity in Italy from 1998 to 2004: evidence from large firms and SMEs using DEA

This paper presents a firm-level analysis of multifactor productivity (MFP) in Italy between 1998 and 2004. Using data envelopment analysis (DEA) technique, MFP change are measured for 31 industries and decomposed into efficiency change and technical change (which in turn is interpreted as the combined effect of technical progress and scale economies). The results highlight the stagnation in many Italian production activities and even a decrease in MFP in some industries. A non-parametric statistical test on the results obtained from DEA reveals that the analysed larger firms have been more likely to perform better in efficiency than the smaller ones. This outcome seems to complement the Schumpeterian view of a relatively high attitude of larger firms towards technological innovation and productivity growth.     

A Non-parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax

We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.     

Change in contemporary Italy's social concertation

This article examines the crisis of social concertation in Italy since 2000. We argue that this crisis is not due exclusively to the political shift from a centre‐left to a centre‐right government led by Silvio Berlusconi, or the end of the European integration phase. It reflects the continued failure of Italian social concertation to address problems of economic growth and work productivity was apparent by the second half of the 1990s. We argue that this is due mainly to the stagnation of the decentralisation process at the company and territorial levels and, in particular, the limited development of second‐level collective bargaining introduced by the 1993 July Ciampi Protocol. This reflects a weakness in the Italian institutional context as well as the difficulties associated with the altering of industrial relations in global market economies more generally. The prospects for the future of concertative policy making in the Italian context are also discussed.     

Productivity Shocks and Labour Market Outcomes for Top Earners: Evidence from Italian Serie A

How are top earners affected by productivity shocks? We address this question using a unique longitudinal data set on the universe of professional football players in the Italian Serie A, representing 20% of top earners in Italy. We use traumatic injuries and adopt an IV strategy to provide causal estimates of the impact of productivity shocks on several labour market outcomes. We find that a 30-day injury substantially affects the probability of contract renegotiation and reduces net wages by around 12%. We show that this large penalty is due to employer's precautionary motives rather than to shock-induced reduction in current player's performance.     

Quality as an autonomous body of knowledge. An in-depth survey on Italian higher education

The need of people skilled on quality topics is strongly increased in Italy, in the last 10 years, and new professional figures that are specialized in quality have been recently recognized by the Italian official classification of occupations. However, there seems to be a lack of empirical studies that analyse education about quality supplied by Italian universities and business schools. This paper shows the results of an exploratory survey on the education in quality offered by Italian universities. The research was conducted on a reasoned sample of Italian universities, selected on the basis of the number of students enrolled and the number of supplied degree courses, in the academic year 2005/2006. Thanks to the findings of the survey it is possible to know what (what subjects related to quality concepts and tools are taught), where (within which degree programs they are taught), and when (at which degree level they are taught) Italian higher education is devoted to quality.     

Assessing efficiency and innovation in the 3PL industry: an empirical analysis

ABSTRACT

The Third-party Logistics (3PL) industry is facing both important growth rates and increasing competitive pressure. 3PL providers are required to continuously sustain a more and more competitive cost structure (i.e. efficiency) and develop capabilities to improve their services (i.e. innovation); hence, the evaluation of these key success factors is considered a key issue. This paper develops a quantitative analysis of 71 Italian 3PL providers by using Data Envelopment Analysis to jointly assess efficiency and innovation. Furthermore, through a case study research, it corroborates the quantitative results by investigating the strategies of best-in-class companies. Results allowed identifying 13 3PL providers as efficiency leaders and 6 as leaders from both the efficiency and the innovation side. Their input composition indicates a diversification of the business models. A breakdown of the analysis by size and industry focus, along with empirical evidence on the strategies enhancing efficiency and innovation, is also provided.     

Raising the bar (9)

ABSTRACT

This editorial summarizes the papers published in issue 13(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper develops an economic geography model with trade costs in all sectors and different shares of unskilled labour in all locations. The second paper translates an economic geography model into a dynamic spatial econometric model and then estimates the unknown parameters to test for congestion spillover effects among Chinese cities. The following paper also investigates spillover effects, but of sovereign and banking risks across countries. The fourth paper empirically examines if a higher market potential results in higher average productivity and lower productivity dispersion of Italian retailers. The fifth paper demonstrates that modelling more than one spatial lag in the independent variables, using different specifications of the spatial weight matrix, can be used as a tool to correct for an omitted variable bias. The final paper develops a test for the existence of non-parametric non-linearities in a linear spatial econometric model.     

Intersectoral labour reallocations and unemployment in Italy

The Italian labour market, like most European labour markets and unlike the US, shows a greater cyclical sensitivity of the service sector with respect to manufacturing and firing costs higher than hiring costs. This accounts for the negative relationship between sectoral employment shifts and Italian unemployment in the post-war period and, correspondingly, for the pro-cyclical pattern of the Lilien index, in contrast with the US experience.By applying the Lilien index to the Italian context, this paper analyses the relative importance of sectoral regional and national factors in the explanation of changes in industrial structure, and their impact on unemployment. The econometric exercise illustrates that, given the structural features of the Italian labour market, the decline in intersectoral and interregional labour reallocations has significantly contributed to the increase of unemployment in Italy. New hires, the pull of new sectors, sectoral shifts and regional mobility can keep unemployment down, while at the same time maintaining some of the structural features of the “European model” (high employment security and stability).     

Whatever happened to the Quadro Fedele?

The English language version of the Fourth Directive included a general clause that the accounts of a company should give a true and fair view. The same article 2 (3) of the Italian version of the directive called for the accounts of a company to give a quadro fedele. Several years later the directive was incorporated into Italian law, but, departing from the term used in the Italian version, called instead for the accounts to give una rappresentazione veritiera e corretta. This paper shows that since it first appeared in Italian law in 1983 there has been no homogeneous understanding in Italy among legal experts as to the meaning of a quadro fedele and that it was ultimately replaced in the 1990s with the rappresentazione veritiera e corretta because it failed in the mind of the legislators to reproduce in Italian the perceived spirit of the British version.     

Inference on an extended Roy model,with an application to schooling decisions in France

This paper considers the identification and estimation of an extension of Roy’s model (1951) of sectoral choice, which includes a non-pecuniary component in the selection equation and allows for uncertainty on potential earnings. We focus on the identification of the non-pecuniary component, which is key to disentangling the relative importance of monetary incentives versus preferences in the context of sorting across sectors. By making the most of the structure of the selection equation, we show that this component is point identified from the knowledge of the covariate effects on earnings, as soon as one covariate is continuous. Notably, and in contrast to most results on the identification of Roy models, this implies that identification can be achieved without any exclusion restriction nor large support condition on the covariates. As a by-product, bounds are obtained on the distribution of the ex ante   monetary returns. We propose a three-stage semiparametric estimation procedure for this model, which yields root-n$n$ consistent and asymptotically normal estimators. Finally, we apply our results to the educational context, by providing new evidence from French data that non-pecuniary factors are a key determinant of higher education attendance decisions.     

Multiple Origins of Accounting? An Early Italian Example of the Development of Accounting for Managerial Purposes

ABSTRACT

Utilising archival materials relating to an Italian pottery manufacturer, Manifattura Ginori, this paper examines the development of the company's accounting system during the 19th century. By the early 1800s, Manifattura Ginori is shown to have developed a double-entry bookkeeping system and to have carried out cost calculations. Deficiencies in the archive unfortunately do not enable us to determine precisely the nature of the links between the cost calculations and the financial accounting system during the early decades of the 19th century. However, as the century wore on, and the business moved from being an artisanal based manufacturer of high quality porcelain to a large-scale, industrial producer of utilitarian wares, Manifattura Ginori developed its system of accounting to reflect organisational changes and managerial needs. The Ginori archives therefore not only provide us with a rare glimpse of accounting in an early industrial context in Italy, but also of the use of accounting as a mechanism for business management and control in a non-Anglo-Saxon context. In particular it allows us to examine the role of accountants, to throw light on factors causing accounting change, and the relevance of alternative theoretical paradigms in interpreting such changes. By placing the experiences of Manifattura Ginori in a context of developments elsewhere in Europe, especially Britain and France, some implications can be drawn regarding the possibility of multiple origins of accounting ideas.     

Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices

This study examines patterns of productivity change in a large set of 266 public higher education institutions (HEIs) in 7 European countries across the time period 2001–2005. We adopt consistent bootstrap estimation procedures to obtain confidence intervals for Malmquist indices of HEI productivity and their components. Consequently, we are able to assess the statistical significance of changes in HEI productivity, efficiency and technology. Our results suggest that, assessed vis-à-vis a common ‘European’ frontier, HEI productivity rose on average by 4 % annually. Statistically significant changes in productivity were registered in 90 % of observations on the institutions in our sample, but statistically significant annual improvements in overall productivity took place in only 56 % of cases. There are considerable national differences, with German, Italian and Swiss HEIs performing better in terms of productivity change than HEIs from the other countries examined.     

Insights into Innovation in European Museums

Abstract

Innovation has become a key tool enabling museums to adapt to the major changes that have taken place in recent decades in the milieu in which such organizations operate. However, countries' differing cultural policies, coupled with the particular nature of museums themselves (size, type of collection, organizational structure, system of funding, etc.), have a practical impact on the ability of such organizations to innovate and adapt to the new situation. In this context, our study posits three aspects through which innovation may appear in museums: technological innovation in management, technological innovation in visitor experience and organizational innovation. We also explore the extent to which the nature of cultural policies in different countries, how museums are managed and their size and funding impact each type of innovation. The empirical analysis was conducted for art and history museums in four European countries: France, Italy, Spain and the United Kingdom. We felt that exploring these relations in cultural organizations would be of interest and would make an important contribution to the field.     

Detecting Dependence Between Spatial Processes

Abstract

Testing the assumption of independence between variables is a crucial aspect of spatial data analysis. However, the literature is limited and somewhat confusing. To our knowledge, we can mention only the bivariate generalization of Moran's statistic. This test suffers from several restrictions: it is applicable only to pairs of variables, a weighting matrix and the assumption of linearity are needed; the null hypothesis of the test is not totally clear. Given these limitations, we develop a new non-parametric test, Υ(m), based on symbolic dynamics with better properties. We show that the Υ(m) test can be extended to a multivariate framework, it is robust to departures from linearity, it does not need a weighting matrix and can be adapted to different specifications of the null. The test is consistent, computationally simple and with good size and power, as shown by a Monte Carlo experiment. An application to the case of the productivity of the manufacturing sector in the Ebro Valley illustrates our approach.     

Personality,self-efficacy and job resources and their associations with employee engagement,affective commitment and turnover intentions

Abstract

In this paper, we examine the extent to which personality characteristics influence employees’ psychological connection to their work beyond that predicted by job context factors. More specifically, using Job Demands-Resources theory, we examined the influence of HEXACO personality facets, self-efficacy, and job resources on engagement, affective commitment and turnover intention. We used structural equation modelling on data collected from 623 participants working in a variety of organizational settings to test a proposed and a re-specified model. The results showed that both job resources and individual differences factors had direct and indirect effects on engagement, affective commitment and turnover intention. The personality facet liveliness was positively associated with engagement; sentimentality was positively associated with affective commitment; and social boldness, diligence and sentimentality were positively associated with self-efficacy. The model explained 69% of the variance in engagement, 60% of the variance in affective commitment and 33% of the variance in turnover intention. Despite the stronger influence of job resources, the results suggest that both individual factors and job context factors influence employees’ psychological attachment to their work. Practical implications in terms of selection, engagement and organizational development interventions, and further research opportunities are identified.     

Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy

The novel coronavirus 2019 revolutionized the way of living and the communication of people making social media a popular tool to express concerns and perceptions. Starting from this context we built an original database based on the Twitter users’ emotions shown in the early weeks of the pandemic in Italy. Specifically, using a single index we measured the feelings of four groups of stakeholders (journalists, people, doctors, and politicians), in three groups of Italian regions (0,1,2), grouped according to the impact of the COVID-19 crises as defined by the Conte Government Ministerial Decree (8^th March 2020). We then applied B-VAR techniques to analyze the sentiment relationships between the groups of stakeholders in every Region Groups. Results show a high influence of doctors at the beginning of the epidemic in the Group that includes most of Italian regions (Group 0), and in Lombardy that has been the region of Italy hit the most by the pandemic (Group 2). Our outcomes suggest that, given the role played by stakeholders and the COVID-19 magnitude, health policy interventions based on communication strategies may be used as best practices to develop regional mitigation plans for the containment and contrast of epidemiological emergencies.     

Implementation of responsible Procurement Management: An Institutional Perspective

The role of the institutional context in the pattern of the implementation of responsible procurement management (RPM) has been object of very limited previous research, although it has been found that it affects the approach to both CSR and supply chain management. The article presents the results of an in‐depth comparative study drawing on 47 interviews with managers of 13 companies in Italy and Germany, which have been previously related to different national institutional settings. The analysis demonstrates that the perception of factors influencing RPM implementation differs between Italian and German companies, and suggests that the institutional context affects not only the overall CSR behavior of the company, but also its institutionalization into a specific function. Results show that the institutional context mainly determines the boundaries within which practitioners are able to operate, whereas the ability to effectively bring about changes in their activity mainly depends upon organizational environment. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment