Effects of training on competitiveness in the manufacturing sector

Includes bibliography

Latin America and the middle-income trap

Includes bibliography.

Hiato tecnológico e catching-up: uma abordagem a partir da inovação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Intangible resources and organization capital: measurement and economic evaluation

Intangible resources have raised the interests of scholars from different research areas due to their importance as crucial factors for firm performance; yet, contributions to this field still lack a theoretical framework. This research analyses the state-of-the-art results reached in the literature concerning intangibles, their main features and evaluation problems and models. In search for a possible theoretical framework, the research draws a kind of indirect analysis of intangibles through the theories of the firm, their critic and developments. The heterodox approaches of the evolutionary theory and resource-based view are indicated as possible frameworks. Based on this theoretical analysis, organization capital (OC) is identified, for its features, as the most important intangible for firm performance. Empirical studies on the relationship intangibles-firm performance have been sporadic and have failed to reach firm conclusions with respect to OC; in the attempt to fill this gap, the effect of OC is tested on a large sample of European firms using the Compustat Global database. OC is proxied by capitalizing an income statement item (Selling, General and Administrative expenses) that includes expenses linked to information technology, business process design, reputation enhancement and employee training. This measure of OC is employed in a cross-sectional estimation of a firm level production function - modeled with different functional specifications (Cobb-Douglas and Translog) - that measures OC contribution to firm output and profitability. Results are robust and confirm the importance of OC for firm performance.

Knowledge Flows and Networks: the Interplay between Local and Global Linkages within Bangalore IT Cluster

This doctoral work gains deeper insight into the dynamics of knowledge flows within and across clusters, unfolding their features, directions and strategic implications. Alliances, networks and personnel mobility are acknowledged as the three main channels of inter-firm knowledge flows, thus offering three heterogeneous measures to analyze the phenomenon. The interplay between the three channels and the richness of available research methods, has allowed for the elaboration of three different papers and perspectives. The common empirical setting is the IT cluster in Bangalore, for its distinguished features as a high-tech cluster and for its steady yearly two-digit growth around the service-based business model. The first paper deploys both a firm-level and a tie-level analysis, exploring the cases of 4 domestic companies and of 2 MNCs active the cluster, according to a cluster-based perspective. The distinction between business-domain knowledge and technical knowledge emerges from the qualitative evidence, further confirmed by quantitative analyses at tie-level. At firm-level, the specialization degree seems to be influencing the kind of knowledge shared, while at tie-level both the frequency of interaction and the governance mode prove to determine differences in the distribution of knowledge flows. The second paper zooms out and considers the inter-firm networks; particularly focusing on the role of cluster boundary, internal and external networks are analyzed, in their size, long-term orientation and exploration degree. The research method is purely qualitative and allows for the observation of the evolving strategic role of internal network: from exploitation-based to exploration-based. Moreover, a causal pattern is emphasized, linking the evolution and features of the external network to the evolution and features of internal network. The final paper addresses the softer and more micro-level side of knowledge flows: personnel mobility. A social capital perspective is here developed, which considers both employees’ acquisition and employees’ loss as building inter-firm ties, thus enhancing company’s overall social capital. Negative binomial regression analyses at dyad-level test the significant impact of cluster affiliation (cluster firms vs non-cluster firms), industry affiliation (IT firms vs non-IT fims) and foreign affiliation (MNCs vs domestic firms) in shaping the uneven distribution of personnel mobility, and thus of knowledge flows, among companies.

Strategy as a matter of beliefs: the recorded music industry reinventing itself by rethinking itself

Managerial and organizational cognition studies the ways cognitions of managers in groups, organizations and industries shape their strategies and actions. Cognitions refer to simplified representations of managers’ internal and external environments, necessary to cope with the rich, ambiguous information requirements that characterize strategy making. Despite the important achievements in the field, many unresolved puzzles remain as to this process, particular as to the cognitive factors that condition actors in framing a response to a discontinuity, how actors can change their models in the face of a discontinuity, and the reciprocal relation between cognition and action. I leverage on the recent case of the recorded music industry in the face of the digital technology to study these issues, through a strategy-oriented study of the way early response to the discontinuity was constructed and of the subsequent evolution of this response. Through a longitudinal historical and cognitive analysis of actions and cognitions at both the industry and firm-level during the period in which the response took place (1999-2010), I gain important insights on the way historical beliefs in the industry shaped early response to the digital disruption, on the role of outsiders in promoting change through renewed vision about important issues, and on the reciprocal relationship between cognitive and strategic change.

The drivers and implications of environmental innovations: European evidence at different levels of analysis

The present work is a collection of three essays devoted at understanding the determinants and implications of the adoption of environmental innovations EI by firms, by adopting different but strictly related schumpeterian perspectives. Each of the essays is an empirical analysis that investigates one original research question, formulated to properly fill the gaps that emerged in previous literature, as the broad introduction of this thesis outlines. The first Chapter is devoted at understanding the determinants of EI by focusing on the role that knowledge sources external to the boundaries of the firm, such as those coming from business suppliers or customers or even research organizations, play in spurring their adoption. The second Chapter answers the question on what induces climate change technologies, adopting regional and sectoral lens, and explores the relation among green knowledge generation, inducement in climate change and environmental performances. Chapter 3 analyzes the economic implications of the adoption of EI for firms, and proposes to disentangle EI by different typologies of innovations, such as externality reducing innovations and energy and resource efficient innovations. Each Chapter exploits different dataset and heterogeneous econometric models, that allow a better extension of the results and to overcome the limits that the choice of one dataset with respect to its alternatives engenders. The first and third Chapter are based on an empirical investigation on microdata, i.e. firm level data extracted from innovation surveys. The second Chapter is based on the analysis of patent data in green technologies that have been extracted by the PATSTAT and REGPAT database. A general conclusive Chapter will follow the three essays and will outline how each Chapter filled the research gaps that emerged, how its results can be interpreted, which policy implications can be derived and which are the possible future lines of research in the field.

The Recent Structure of Wages in the Czech Republic

The project drew on an extensive firm-level sample of employees to describe in detail the recent evolution of the structure of wages in the Czech Republic between 1995 and 1998. The results of the analysis were then compared with information from EU countries. Regression analysis was used to study a number of specific questions, with particular emphasis being paid to proper weighting of the sample. Jurajda first quantified the effects on male and female hourly wages in the Czech Republic of worker age and education, firm size, region, industry and ownership type. He then examined whether these effects have been changing over time and how they differ by gender, and identified those industrial sectors that carry the largest wage premiums not accounted for by worker or firm characteristics, and measured the effect of unemployment on wages. He found a substantial increase in returns on human capital, with the earning differentials for education increasing substantially between 1995 and 1998, with these gains being largely comparable to those in western countries. Overall, the Czech structure of wages is now very responsive to market forces and is converging rapidly on EU-type flexibility in almost every dimension. It is likely, however, that due to the constrained supply of tertiary-educated workers in particular, the returns on education may keep on rising, surpassing levels typical of western economies and potentially reaching the high levels observed in developing countries.

Predicting the population impact of chlamydia screening programmes: comparative mathematical modelling study

BACKGROUND: Published individual-based, dynamic sexual network modelling studies reach different conclusions about the population impact of screening for Chlamydia trachomatis. The objective of this study was to conduct a direct comparison of the effect of organised chlamydia screening in different models. METHODS: Three models simulating population-level sexual behaviour, chlamydia transmission, screening and partner notification were used. Parameters describing a hypothetical annual opportunistic screening program in 16-24 year olds were standardised, whereas other parameters from the three original studies were retained. Model predictions of the change in chlamydia prevalence were compared under a range of scenarios. RESULTS: Initial overall chlamydia prevalence rates were similar in women but not men and there were age and sex-specific differences between models. The number of screening tests carried out was comparable in all models but there were large differences in the predicted impact of screening. After 10 years of screening, the predicted reduction in chlamydia prevalence in women aged 16-44 years ranged from 4% to 85%. Screening men and women had a greater impact than screening women alone in all models. There were marked differences between models in assumptions about treatment seeking and sexual behaviour before the start of the screening intervention. CONCLUSIONS: Future models of chlamydia transmission should be fitted to both incidence and prevalence data. This meta-modelling study provides essential information for explaining differences between published studies and increasing the utility of individual-based chlamydia transmission models for policy making.

To boldly go: individual differences in boldness influence migratory tendency

Partial migration, whereby only a fraction of the population migrates, is thought to be the most common type of migration in the animal kingdom, and can have important ecological and evolutionary consequences. Despite this, the factors that influence which individuals migrate and which remain resident are poorly understood. Recent work has shown that consistent individual differences in personality traits in animals can be ecologically important, but field studies integrating personality traits with migratory behaviour are extremely rare. In this study, we investigate the influence of individual boldness, an important personality trait, upon the migratory propensity of roach, a freshwater fish, over two consecutive migration seasons. We assay and individually tag 460 roach and show that boldness influences migratory propensity, with bold individuals being more likely to migrate than shy fish. Our data suggest that an extremely widespread personality trait in animals can have significant ecological consequences via influencing individual-level migratory behaviour.

Increasing Derivatives Market Activity in Emerging Markets and Exchange Rate Exposure

Understanding the effects of off-balance sheet transactions on interest and exchange rate exposures has become more important for emerging market countries that are experiencing remarkable growth in derivatives markets. Using firm level data, we report a significant fall in exposure over the past 10 years and relate this to higher derivatives market participation. Our methodology is composed of a three stage approach: First, we measure foreign exchange exposures using the Adler-Dumas (1984) model. Next, we follow an indirect approach to infer derivatives market participation at the firm level. Finally, we study the relationship between exchange rate exposure and derivatives market participation. Our results show that foreign exchange exposure is negatively related to derivatives market participation, and support the hedging explanation of the exchange rate exposure puzzle. This decline is especially salient in the financial sector, for bigger firms, and over longer time periods. Results are robust to using different exchange rates, a GARCH-SVAR approach to measure exchange rate exposure, and different return horizons.

The Garment Industry in Cambodia: Its Role in Poverty Reduction through Export-Oriented Development

Cambodia's export-oriented garment industry has contributed greatly to poverty reduction in the country through employment of the poor. This paper provides a statistical verification of this contribution based on firm-level data from 164 sampled companies collected in 2003. Its main conclusions confirm the substantial impact that employment in the garment industry has had on poverty reduction in Cambodia. Firstly, entry-level workers receive wages far above the poverty line. Secondly, females make up the predominant share of the main category jobs in the industry. Thirdly, barriers to employment and to promotions up to certain job categories are not high in terms of education and experience. Another important finding is that a typical sample firm exhibited high profitability, although there was wide variation in profitability among firms. This average of high profitability could be a good predictor of Cambodia's viability in the intensified competition since the phase out of the Multi-Fiber Arrangement (MFA) at the beginning of 2005. A point of note is that Cambodia's pattern of industrial development led by a labor-intensive industry is similar to that of neighboring countries in East Asia which earlier went through the initial stage of industrial development, except that Cambodia has lacked a strong government industrial promotion policy which characterized the earlier group.

Clothing Export from sub-Saharan Africa : Impact on Poverty and Potential for Growth

Increases in clothing exports after 2000 signaled the first incidence of large-scale manufacturing exports from sub-Saharan Africa. Using firm-level information, this paper explores the potential of clothing exports for poverty reduction and further growth as seen in other low income countries. It shows that the garment exporting industries in Kenya and Madagascar have contributed poverty reduction in the short term by providing mass employment for female and less educated workers with wages beyond the poverty line. However, the long-term impact is not certain. High production costs and limited development of local firms weaken potential for further growth in the competitive world market. Upgrading of the market and improvement of efficiency are required to remain competitive for African industries, and governmental support for local participation are needed to facilitate technology transfer.

Competitiveness of the knitwear industry in Bangladesh : a study of industrial development amid global competition

This paper assesses the technical efficiency and profitability of the knitwear industry in Bangladesh taking into account the sector’s role in poverty reduction. While stochastic frontier analysis was invoked to assess technical efficiency, three alternative measures, namely the rate of return, total factor productivity and the Solow residual, were used to gauge the extent and determinants of the profitability of the industry based on firm-level data collected in 2001. The estimation results indicate the high profitability of the knitwear firms. In Bangladesh, the dynamic development of the industry has entailed great diversity in efficiency in comparison with the garment industries of other developing countries. While there is a significant scale effect in profitability and productivity, no supporting evidence was found for the positive impact on competitiveness of industrial upgrading in terms of usage of expensive machinery and vertical integration and industrial agglomeration.

Capability Matrix : A Framework for Analyzing Capabilities in Value Chains

This paper develops a Capability Matrix for analyzing capabilities of developing country firms that participate in global and national value chains. This is a generic framework to capture firm-level knowledge accumulation in the context of global and local industrial constellations, by integrating key elements of the global value chain (GVC) and technological capabilities (TC) approaches. The framework can visually portray characteristics of firms’ capabilities, and highlight a relatively overlooked factor in the GVC approach: local firms’ endogenous learning efforts in varieties of relationship with lead firms.