A model of innovation and learning with involuntary spillovers and absorptive capacity

We develop a model of innovation and learning that incorporates explicitly the need for a firm to conduct its own research and development (R&D) in order to realize involuntary spillovers from other firms’ R&D activity and the development of absorptive capacity of research firms over time. The conclusions of the model follow directly from the functional forms that are used to describe the generation and absorption of technological knowledge. The first proposition formally characterizes the steady-state rate of growth of technology for the model. The analysis also shows how some of the key features of two distinct, pure modes of organization of the production of new knowledge, the R&D model and the new localized knowledge model, are implied by our model by simply drastically changing the relative magnitude of two exogenous parameters: the ease of learning and the pace of knowledge advance. The second proposition formally characterizes the connections implied by the model between involuntary spillovers and absorptive capacity. Analysis of the long-term interactions between involuntary spillovers of knowledge and absorptive capacity provides the essential insights into an understanding of the elements of a self-sustained process of endogenous growth. The third and last formal proposition of this paper accommodates firm-level arguments and the crucial role of a firm's absorptive capacity in taking advantage of its location in clusters, as implied by the theoretical model.     

The knowledge multiplier

The paper develops a formal model of external knowledge and identifies the role of knowledge multipliers. Social interactions and knowledge multipliers play a crucial role in determining the rate of technological change. The analytical identification of the knowledge multiplier expression constitutes a key step in the appreciation of the crucial role of knowledge interactions. First, social considerations endogenously change the knowledge production function of each firm. The knowledge multiplier is the specific mechanism by means of which external knowledge contributes to enhance the innovative capacity of each firm. The production function of knowledge shows that the larger the knowledge multiplier is the stronger are the cumulative positive effects of external knowledge on the generation of new knowledge. Second, social considerations explain the long-run dynamics of innovation. Social reinforcement and the knowledge multiplier determine the rise or fall in the rate of accumulation of technological knowledge.     

Limits on the Use of Public Space and Consumer Tactics: A Study on Urban Cycling

Although public space is supposed to be democratic and accessible to all, in reality, such access is inegalitarian and exclusionary. The research aims, therefore, to understand how public space that reflects the imposition of interests of dominant ideologies affects the consumption practices of nondominant ideologies. The qualitative research data were collected in the context of urban cycling through in-depth interviews and observation and are analyzed using a hermeneutical approach. The research explains that, in order to deal with the limits of public space use, these consumers use tactics involving (1) disputes for space, (2) disorganized occupation, and (3) transgressive practices; moreover, there is an overlapping relationship between the agency of consumers and public space.     

Assessing French inflation persistence with impulse saturation break tests and automatic general-to-specific modelling

This article has three different motivations. Firstly, we wish to contribute to the debate on whether French inflation has been persistent since the mid-eighties. Empirical evidence in this domain has been mixed. We use the standard method of testing for breaks in the mean of the inflation series to conclude whether possible unit root findings are the result of neglected breaks. Then, we build standard autoregressive representations of inflation, using an automatic general-to-specific approach. We conclude against inflation persistence in the sample period, and the point estimates of persistence we obtain are several percentage points below those achieved with other break tests and model selection methods. Moreover, our final model is congruent. Secondly, we provide the first empirical application of the new impulse saturation break test. The resulting estimates of the break dates are in line with other literature findings and have a sound economic meaning, confirming the good performance the test had revealed in theoretical and simulation studies. Finally, we also illustrate the shortcomings of the Bai–Perron test when applied to a small sample with high serial correlation. Indeed, we show the Bai–Perron break dates’ estimates would not allow us to build a congruent autoregressive representation of inflation.     

How financial intermediation impacts on financial stability?

The great financial crisis widened the role of financial intermediation in financial stability. This study develops a new financial intermediation variable, credit cash flow (CCF), which enables measurement of the net financial flow resulting from loan activity. An analysis provides evidence that CCF affects the capital buffer via credit gap behaviour, thus indicating the existence of a channel between the CCF and the capital buffer. Such a link offers the policy-maker the possibility to monitor the behaviour of financial intermediation carried out by banks, in order to avoid the outbreak of financial instability events.     

A study on the attributes involved in the hedonic pricing of Brazilian clothing

The objective of this study is to identify the weighted importance of intrinsic and extrinsic attributes. Intrinsic attributes are defined as the specific features of products. Extrinsic attributes refer to other characteristics that are also important for price composition, such as brand, store layout and services, and purchasing experiences. In a survey with 1,923 collected responses, it was possible to identify and quantify intrinsic and extrinsic influencing factors beyond price strategy in the Brazilian fashion market for blue jeans. The statistical analysis was based on the hedonic price method. The idea of expressing the price based on a series of intrinsic and extrinsic variables avoids the problem of using the regression technique. In this research, multiple linear regression and quantile regression were applied. The results show that extrinsic attributes have greater influence than intrinsic features on explaining the final market prices using log-linear and quantile regression statistical methods.     

Barriers to technological adoption in Spain and Portugal

Since 1945, both Spain and Portugal have experienced significant market transformations. These countries were both led by dictators for many years until the mid 1970s when each moved toward more democratic governments and more open markets. As a result, each experienced significant changes in output with Spain’s becoming a model for proper market based transformations. Although Portugal’s transformation has been less impressive it experienced improvements too. This paper uses a Parente and Prescott (J Polit Econ 102(2), 298–321, 1994; 2000) type model to investigate the recent transformations in each of these countries and quantify the extent to which barriers to technological adoption may have played for these two development experiences. Our results indicate that from 1945 to 2003 these barriers have fallen considerably but remain high, and are somewhat higher in Portugal than in Spain.     

The dynamics of the growth of firms: evidence from the services sector

Using a dynamic panel data model with serial correlation in the error term, the purpose of this paper is to examine if Gibrat’s Law can be rejected for the services sector as it has been for manufacturing. The aim of this paper is also to improve the understanding of the empirical determinants of firm growth by extending the literature to include a new variable related to foreign participation. In addition, and based on recent developments in the growth of firms, our analysis also includes the role of the financial structure. The sample used is an unbalanced panel data set that includes all size classes, including the smallest surviving firms, from the Portuguese service sector over the period from 1995 to 2001. Applying the GMM-system estimator our findings suggest that Gibrat’s Law is rejected for the services firms. In addition, the results also indicate that firm growth is mainly explained by firm size and age. These results have significant policy implications.

Treating and Pruning: New approaches to forecasting model selection and combination using prediction intervals

We propose a new way of selecting among model forms in automated exponential smoothing routines, consequently enhancing their predictive power. The procedure, here addressed as treating, operates by selectively subsetting the ensemble of competing models based on information from their prediction intervals. By the same token, we set forth a pruning strategy to improve the accuracy of both point forecasts and prediction intervals in forecast combination methods. The proposed approaches are respectively applied to automated exponential smoothing routines and Bagging algorithms, to demonstrate their potential. An empirical experiment is conducted on a wide range of series from the M-Competitions. The results attest that the proposed approaches are simple, without requiring much additional computational cost, but capable of substantially improving forecasting accuracy for both point forecasts and prediction intervals, outperforming important benchmarks and recently developed forecast combination methods.     

Green bonds,sustainable development and environmental policy in the European Union carbon market

This study assesses the non-linear effects of green bonds, conventional bonds and energy commodities on the behaviour of the cap-and-trade European Union carbon market (European Union Emissions Trading System [EU-ETS]). By estimating four models, using Markov-switching (MS) econometric methodology, non-linearities are confirmed in dynamic behaviours, observing in the global calculation a positive effect of green bonds (S&P Green and Sol Green) on the carbon market, in regimes of both high and low volatility, whereas conventional bonds (S&P Agg) and energy commodities (DJCI En) contribute to a decrease in the carbon market in regimes of high volatility. The relevance of green bonds is underlined in determining the behaviour of the carbon market, besides observing greater persistence of the low volatility regime. These results allow both investors and fund managers to implement strategies in different volatility or economic activity contexts through a diversified portfolio and green/climate structure.