A Spatial Analysis of the R&amp;D-Productivity Nexus at Firm Level

Cardamone, Paola

doi:10.1111/grow.12169

Cited by 9 publications

(16 citation statements)

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“…The effect of this external potential on the performance of firms is approximated by sectoral structural capital in the regression models. The explanatory power of this variable is significant but the correlation of it with the dependent variable is negative and weak (beta: À0.012) which shows that spillover of knowledge could not contribute to the growth of Hungarian firms as it was observable in Italian manufacturing firms (Cardamone, 2017).…”

Section: Discussion Of the Resultsmentioning

confidence: 94%

Intangible assets as possible indicators for the growth of the Hungarian firms

Katona

2021

IJAIM

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Purpose Intellectual capital has become one of the most important factors in the knowledge economy. It is the combination of human capital and structural capital. The purpose of this paper is to examine the effect of intellectual capital, especially the effect of structural capital on the productivity of Hungarian firms between 2007 and 2017. Design/methodology/approach This paper analyzes the impact of intellectual capital on the output of the Hungarian firms in a fixed effect dynamic model, using the lagged dependent and explanatory variables method. This study is based on annual reports of Hungarian enterprises. Findings This study proved that intellectual capital was a relevant source of the effectiveness of the firms in Hungarian industry in the examined period, and structural capital had the strongest impact on productivity of the firms. Research limitations/implications The annual report as database nonetheless bears the specificity and the limitation of the model alike. Labor costs, the proxy for human capital can measure the level only indirectly. Intangible assets, the proxy for structural capital contain more items which are optional. Practical implications The results reflect that the internally developed knowledge became the most relevant source for Hungarian firms to increase their productivity, but externally generated innovation may offer further possible sources to boost their own efficiency. Originality/value Unlike the previous empirical research in Hungary the source of variables in this model is based on the data of annual reports. This database allows to examine a larger panel investigation for a longer period than those methods which collect data on a voluntary basis, e.g. Community Innovation Survey.

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Section: Discussion Of the Resultsmentioning

confidence: 94%

Intangible assets as possible indicators for the growth of the Hungarian firms

Katona

2021

IJAIM

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“…To account for the firm's financial structure, we control for the ratio between equity and total liabilities ( Leverage ). As workers' skill intensity is deemed to affect firm productivity (Cardamone, 2017), the cost of labour per employee is considered in the estimates ( LC ratio ) [11]. Foreign ownership, by introducing new knowledge and best technical and managerial practices into the firm (Blomström and Kokko, 1998), may affect a firm's productivity level positively.…”

Section: Methodsmentioning

confidence: 99%

“…Specifically, local labour mobility and informal interactions in the milieu with specialized suppliers, customers and competitors are the channels through which knowledge spillovers occur (Kesidou and Romijn, 2008). While face-to-face contacts with competitors facilitate the exchange of information about novelties and innovation and market opportunities (Breschi and Lissoni, 2001), competitive pressure prompts the adoption of best practices and technologies employed by other efficient companies, hence stimulating the productivity of nearby firms (Cardamone, 2017).…”

Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

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Are family firms good neighbours? A spatial analysis of Italian technology-intensive firms

Amato

Pieroni

Lattanzi

et al. 2021

JSBED

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PurposeA burgeoning body of evidence points out the importance of spatial proximity in influencing firm efficiency besides internal characteristics. Nevertheless, the family status of the firm has been traditionally overlooked in that debate. Therefore, this study aims to investigate productivity spillovers stemming from the geographical closeness to innovators and family firms.Design/methodology/approachUsing secondary data on Italian technology-intensive manufacturing firms, the paper exploits spatial econometric models to estimate productivity spillovers across firms.FindingsAs regards the presence of spatial dependence, this study reveals that a firm's level of efficiency and productivity is influenced by that of nearby firms. Specifically, three main results emerge. First, spatial proximity to innovators is beneficial for the productivity of neighbouring firms. Second, closeness to family firms is a source of negative externalities for spatially proximate firms. However, and this is the third result, the adverse effect vanishes when the nearby family firms are also innovators.Research limitations/implicationsAs the study relies on cross-sectional data, future research should explore productivity spillovers in a longitudinal setting. Additionally, the channels through which productivity spillovers occur should be measured.Practical implicationsThe study highlights the importance of co-location for public policy initiatives to strengthen the competitiveness of firms and, indirectly, that of localities and regions. Moreover, the findings show the crucial role of innovation in mitigating the productivity gap between family and non-family firms.Social implicationsNotwithstanding the advent of the digital era, spatial proximity and localized social relationships are still a relevant factor affecting firms' performance.Originality/valueBy exploring the role of family firms in influencing the advantages of geographical proximity, this study contributes to the growing efforts to explore family enterprises across spatial settings.

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“…Metodologija za oceno učinkov davčnih olajšav na poslovanje podjetij, gospodarsko rast in zaposlenost Analiza učinkov davčnih olajšav na produktivnost temelji na uporabi dopolnjene produkcijske funkcije (angl. augmented production function) po metodi B. H. Hall in Mairesse (1995) in P. Cardamone (2017). Pri tej metodi se RR-izdatki obravnavajo kot investicija v intelektualni kapital, ki služi kot pomožni produkcijski dejavnik, poleg fizičnega kapitala ter dela zaposlenih.…”

Section: Metodologija Za Oceno Učinkov Davčnih Olajšav Na Raziskovalno-razvojno Dejavnost V Podjetjihunclassified