On the Dynamics of Product and Process Innovations. A Bivariate Random Effects Probit Model / Zur Dynamik von Produkt- und Prozeßinnovationen. Ein bivariates Random-Effects-Probitmodell

1998 ◽  
Vol 217 (4) ◽  
Author(s):  
Gebhard Flaig ◽  
Manfred Stadler
Keyword(s):  
Random Effects ◽  
Probit Model ◽  
Spillover Effects ◽  
Labor Cost ◽  
Stochastic Dynamic ◽  
Firm Level ◽  
Data Set ◽  
Process Innovations ◽  
Simultaneous Equation System ◽  
Product And Process

SummaryBased on a stochastic dynamic model of a firm's optimal innovative behavior we derive a simultaneous equation system for product and process innovations with intertemporal spillover effects. We estimate various versions of the model with dichotomous innovation data at the firm level by using a bivariate dynamic random effects probit model. The data set, provided by the Ifo-Institute, covers the period between 1981 and 1989 and includes 586 firms of the West German manufacturing sector. It turns out that the firms probabilities of product and process innovations depend positively on dynamic spillover effects even if one controls for firm size, market concentration, demand expectations, labor cost, unobserved heterogeneity and potential endogeneity of the explanatory variables.

Market Structure and Innovation Races / Marktstruktur und Innovationsrennen

2005 ◽  
Vol 225 (4) ◽  
Author(s):  
Martin Kukuk ◽  
Manfred Stadler
Keyword(s):  
Market Power ◽  
Race Model ◽  
Probit Model ◽  
Industrial Sector ◽  
Firm Level ◽  
Process Innovations ◽  
Game Theoretic ◽  
Product And Process ◽  
Technological Opportunities ◽  
The Impact

SummaryBased on an extended game-theoretic innovation-race model, we derive some Schumpeterian hypotheses of the impact of technological rivalry, market power, technological opportunities and demand expectations on the timing of product and process innovations. Using innovation data at the firm level in the German industrial sector, we estimate various versions of an econometric specification of the model with dichotomous innovation data by using a univariate binary probit model with qualitative regressor variables estimated applying indirect inference. Our empirical results are consistent with the derived hypotheses that intense rivalry, favorable technological opportunities and high demand expectations spur innovative activity, while the effect of market power is ambiguous.

scholarly journals Process and product innovations, multi-product status and export performance: firm-level evidence from V–4 countries

Equilibrium ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 233-250 ◽  
Author(s):  
Andrzej Cieślik ◽  
Jan Jakub Michałek
Keyword(s):  
Firm Size ◽  
Export Performance ◽  
Value Added ◽  
Set Covering ◽  
Innovation Activity ◽  
Firm Level ◽  
Data Set ◽  
Process Innovations ◽  
Product And Process ◽  
Visegrád Countries

Research background: In this paper, we study empirically the relationship between different forms of innovations, multi-product status and export performance of firms from four Visegrad countries. We treat innovations as the key element that can increase the level of firm productivity. Purpose of the article: The main objective is to analyze the empirical relationship between different firms of innovation of firms from Visegrad countries and their export performance. In contrast to previous studies that use R&D spending as a measure of innovation, we rather relay on innovation outcomes. Our detailed hypotheses postulate the existence of positive relationships between firm export performance and different forms of innovation. We seek to determine which type of innovation activity is of the greatest importance for exporting and whether it depends on firm size, the level of internationalization, the use of human capital and its sector of activity. In addition, we control for the multi-product status of firms, i.e. whether they sell one or many products. Methods: The measures of innovative activity of companies include both spending on R&D as well as its effects, such as product and process innovations. In addition, we control for the multi-product status measured by the share of the main product in total sales of the firm, as well as for other firm-level characteristics. The empirical implementation of the theoretical framework is based on the probit models, applied to the fifth edition of BEEPS firm level data set covering the period 2011–2014. Findings & Value added: Our results indicate that the probability of exporting is positively related to both product and process innovations and the multi-product status. In addition, we find that the probability of exporting is related to the set of control variables including labor productivity, firm size, the share of university graduates in productive employment, foreign capital participation and the use of foreign licenses.

scholarly journals Effect of regional skill gaps and skill shortages on firm productivity

2019 ◽  
Vol 52 (5) ◽  
pp. 933-952 ◽  
Author(s):  
David Morris ◽  
Enrico Vanino ◽  
Carlo Corradini
Keyword(s):  
Spillover Effects ◽  
Firm Productivity ◽  
Negative Effects ◽  
Firm Level ◽  
Regional Productivity ◽  
Data Set ◽  
Industrial Sectors ◽  
Skill Gaps ◽  
The Impact ◽  
Skill Shortages

This paper contributes to the literature on regional productivity, complementing previous education and skill-level perspectives with a novel approach analysing the impact of regional skill gaps and skill shortages. This allows us to reflect the idiosyncratic needs of the regional economic structure better, considering both the demand and supply side of the skills equation in localised labour markets. Controlling for unobserved time-invariant firm-level heterogeneity and other region–industry effects across a longitudinal data set for the period 2008–2014, our analysis reveals a negative direct effect of skill shortages on firm productivity. We further find negative spillover effects for both skill gaps and skill shortages in related industries and proximate regions. Results are also shown to be heterogeneous with respect to agglomeration levels and industrial sectors. Stronger negative effects are found in industries defined by a knowledge-intensive skill base, pointing to the loss of learning effects in the presence of skill deficiencies. Conversely, agglomeration effects appear to moderate the impact of skill deficiencies through more efficient matching in the local labour market. The findings presented thus suggest that policies aimed at improving productivity and addressing the increasing regional productivity divide cannot be reduced to a simple space-neutral support for higher education and skill levels but need to recognise explicitly the presence and characteristics of place-specific skills gaps and shortages.

scholarly journals Utilities: Innovation and Sustainability

2019 ◽  
Vol 11 (4) ◽  
pp. 1085 ◽  
Author(s):  
Enrique Loredo ◽  
Nuria Lopez-Mielgo ◽  
Gustavo Pineiro-Villaverde ◽  
María García-Álvarez
Keyword(s):  
Product Innovation ◽  
Process Innovation ◽  
Water Utilities ◽  
Firm Level ◽  
Playing Field ◽  
Process Innovations ◽  
Search Processes ◽  
Relevant Role ◽  
Product And Process Innovation ◽  
Product And Process

Pro-market reforms have disrupted the playing field and strongly affected the innovative behavior of electricity, gas and water utilities. Beyond a significant reduction in sectoral R&D investments, very little is known about how these firms accomplish their innovation strategies in this new scenario. Given this gap in the literature, the first aim of this paper is to identify the internal determinants of both the product and process innovation of utilities in a liberalized environment. Additionally, there is another external force that is also disrupting the specific landscape of utilities: the sustainability challenge. Therefore, the second aim of this paper is establishing whether sustainability-orientation is a driver of innovation in the utilities industries. The empirical study is carried out on a panel of 82 Spanish electricity, gas and water utilities over the period 2005–2012 (Technological Innovation Panel dataset (PITEC)). The main findings are: (i) the acquisition of disembodied knowledge does not play a relevant role for utilities; (ii) non-formal search processes are central to product innovation; (iii) some markets for technology –external R&D and technology embedded in equipment—are determinant factors for process innovation; (iv) sustainability orientation increases the likelihood of generating both, product and process innovations. These firm-level results are novel contributions to the field of utility management.

Determinants of SME growth

2016 ◽  
Vol 39 (9) ◽  
pp. 966-986 ◽  
Author(s):  
Habib Kachlami ◽  
Darush Yazdanfar
Keyword(s):  
Random Effects ◽  
Financial Institutions ◽  
Significant Influence ◽  
Fixed Effects ◽  
Explanatory Power ◽  
Ordinary Least Squares ◽  
Firm Level ◽  
Data Set ◽  
Content Type

Purpose The purpose of this paper is to study the firm-level financial variables affecting the growth of small and medium-sized enterprises (SMEs). Design/methodology/approach The study applies a resource-based view to analyze the firm-level as well as industry-level determinants of SME growth. Empirical evidence has also been provided from a data set of SMEs in Sweden to support the hypotheses. For a robust statistical analysis, three models – ordinary least squares (OLS) regression, random-effects regression and fixed-effects regression – are used to examine the influence of explanatory variables on growth. Findings The findings of this study show a positive and significant influence of profitability, short-term debt and size on a firm’s growth across all three models. Results regarding the influence of long-term debt on growth, however, are mixed. While the results of a fixed-effect model show the negative and significant influence of long-term debt on growth, the results according to OLS and random effects show long-term debt positively related to growth. Research limitations/implications This study has been conducted over a period of four years and in the context of Sweden which may limit the generalizability of its results for longer periods and for different contexts. Moreover, the low explanatory power of the models implies the need to also consider other types of variables, such as managerial or socio-economic variables, to better explain the determinants of SME growth. Practical implications Understanding the determinants of growth can be important for policy makers, SME managers and financial institutions. The findings of this study can be used for designing policies which stimulate SME growth. Realizing the financial resources that influence growth can also help SME managers and financial institutions to understand each other’s need for better cooperation. Originality/value This paper applies different models for analyzing large and cross-sectoral data regarding SME growth in the context of Sweden.

scholarly journals Employment Effects of Innovation at the Firm Level

2007 ◽  
Vol 227 (3) ◽  
Author(s):  
Stefan Lachenmaier ◽  
Horst Rottmann
Keyword(s):  
Employment Growth ◽  
Manufacturing Firms ◽  
Firm Level ◽  
Employment Effects ◽  
Process Innovations ◽  
Positive Effects ◽  
Product Innovations ◽  
Patent Applications ◽  
Product And Process ◽  
Positive Effect

SummaryThis paper analyzes empirically the effects of innovation on employment at the firm level using a uniquely long panel dataset of German manufacturing firms. The overall effect of innovations on employment often remains unclear in theoretical contributions due to reverse effects. We distinguish between product and process innovations and additionally introduce different innovation categories. We find clearly positive effects for product and process innovations on employment growth with the effects for process innovations being slightly higher. For product innovations that involved patent applications we can identify an additional positive effect on employment.

A Perceptual Measure of Innovation Performance: Firm-Level Evidence from Turkey

2017 ◽  
Vol 14 (06) ◽  
pp. 1750038 ◽  
Author(s):  
Derya Findik ◽  
Berna Beyhan
Keyword(s):  
Factor Analysis ◽  
Small Firms ◽  
Innovation Performance ◽  
Large Firms ◽  
Firm Level ◽  
Process Innovations ◽  
Significant Difference ◽  
Process Oriented ◽  
Product And Process ◽  
The Impact

This paper aims to introduce a qualitative indicator to measure innovation performance of Turkish firms by using firm-level data collected by Turkish Statistical Institute (TURKSTAT) in 2008 and 2009. We propose a new indicator to measure the innovation performance which is simply based on the perception of firms regarding to the impacts of innovation. In order to create performance indicators, we conduct a factor analysis to group the firms’ perceptions on the impacts of innovation. Factor analysis gives us product and process-oriented impacts of innovation. There are significant differences among product innovators, process innovators and firms engaged in both product and process innovations with respect to their perceptions on product and process-oriented impacts of innovation. Among these three groups, product- and process-oriented impacts provide a highest value for the firms that perform both product and process innovations. As far as the link between firm characteristics and the impact of innovation is considered, there is a significant difference between small and large firms with respect to their perceptions on product-oriented impact of innovation. While product-oriented impact is larger for small firms, large firms focus more on process-oriented impact. Anova results also indicate that perceptions on process-oriented impact significantly differ among exporter firms, domestic market-oriented firms and firms being active in internal and external markets. Process-oriented impact generates results in favor of exporting firms.

Innovation, firms’ performance and environmental turbulence: is there a moderator or mediator?

2019 ◽  
Vol 22 (1) ◽  
pp. 213-232 ◽  
Author(s):  
Lejla Turulja ◽  
Nijaz Bajgoric
Keyword(s):  
Business Performance ◽  
Heterogeneous Firms ◽  
Environmental Turbulence ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Process Innovations ◽  
Product And Process ◽  
The Relationship

PurposeThe purpose of this paper is to draw on dynamic capability view and contingency theory to clarify the nature of the effect of environmental turbulence on the relationships between firm’s both product and process innovations and business performance.Design/methodology/approachThe authors developed and empirically tested two structural models using structural equation modeling approach. The first model deals with both product and process innovations as the mediators between environmental turbulence and business performance. The second model considers the moderating effect of environmental turbulence between innovation and business performance.FindingsThe findings show that environmental turbulence does not moderate the relationship between innovation and business performance. The authors have found a clear role of environmental turbulence in boosting innovation rather than moderating the relationship between innovation and performance.Research limitations/implicationsThe data set is a cross-section of heterogeneous firms regarding the industry.Practical implicationsManagers should be aware of the importance of the innovation for the environmental turbulence and dynamism counteracting. The results imply a negative influence of environmental turbulence on business performance. However, with the innovation in the equation, this influence can be positive, because it boosts firms to innovate and though to achieve better business performance.Originality/valueIt contributes the management and innovation research and practice through offering insights into the role of environmental turbulence in product innovation, process innovation as well as organizational business performance through comprehensive analysis of mediation and moderation effects between the observed constructs.

Factors related to innovative output in the Dutch agrifood industry

2006 ◽  
Vol 6 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Maarten Batterink ◽  
Emiel Wubben ◽  
S. (Onno) Omta
Keyword(s):  
Information Source ◽  
Binary Logistic Regression ◽  
Sources Of Information ◽  
Community Innovation Survey ◽  
Firm Level ◽  
Explanatory Variables ◽  
Process Innovations ◽  
Product And Process ◽  
Total Turnover ◽  
Innovative Output

The present study assessed the factors related to innovative output in the Dutch agrifood industry, a scale-intensive, supplierdominated industry. We concentrated on explanatory variables related to cooperation, information sources, innovation objectives, obstacles to innovation, and innovation resources. Firm-level data were used from the Dutch section of the 2001 Community Innovation Survey (CIS, N=328). We conducted linear and binary logistic regression to analyse the data. The results show that in order to be successful in product innovation, firms must have a strong market orientation. Furthermore, we found that in order to become (more) innovative, firms must have organisational conditions in place, as organisational obstacles are associated with lower levels of innovative output. Innovation subsidies turn out to have a positive effect on both product and process innovations. With respect to the value of a focal firm's network, the surprising conclusion can be drawn that the network is not perceived as crucial for innovation: cooperation is not a factor that explains innovative output; and network actors are - only to a limited extent - perceived as important sources of information for innovation. Competitors as an important source of information explain the share of the total turnover from new or improved products, whereas suppliers are an important information source for process innovators. In summary, innovative agrifood firms do not rely strongly on external sources, contrary to expectations for supplier-dominated firms. Instead, Dutch innovative agrifood firms more strongly reflect the characteristics of scale-intensive firms.

Total-factor energy efficiency in China’s sugar manufacturing industry

2015 ◽  
Vol 7 (3) ◽  
pp. 360-373 ◽  
Author(s):  
Lei Ru ◽  
Wei Si
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Industry ◽  
Sugar Industry ◽  
Probit Model ◽  
Firm Level ◽  
Data Set ◽  
Total Recovery ◽  
Content Type ◽  
Fractional Probit ◽  
Sugar Mills

Purpose – The purpose of this paper is to evaluate the total-factor energy efficiency (TFEE) in China’s sugar manufacturing industry using firm-level data from 2002/2003 to 2012/2013 crushing seasons, and further explore the determinants of TFEE. Design/methodology/approach – Modified data envelopment analysis is used to measure the TFEE of each sugar mill during the crushing seasons. Then heteroskedastic fractional probit model is applied to estimate the determinants of TFEE because of the bounded nature of TFEE and heteroskedasticity of unbalanced panel. Findings – The results show that throughout the crushing seasons, the average TFEE is 0.57; there are spatial differences of TFEE in Guangxi sugar industry, highest in southern area; the TFEE of foreign-owned sugar mills is larger than that of private-owned and state-owned sugar mills; the larger the enterprise size, the higher the TFEE; private ownership, large size, raw material, safe productivity, total recovery rate as well as technical progress can improve TFEE significantly. Originality/value – This paper analyzes TFEE using a rich data set at firm level, allowing the existence of firm heterogeneity, as well as being complementary to the study of energy efficiency in China’s sugar industry. Moreover, ownership structure is involved in the determinants of TFEE, which is rarely done in literature. Lastly, heteroskedastic fractional probit model is employed to recognize the bounded nature of TFEE as well as selection bias of unbalanced panel to study the determinants of TFEE.

Sign in / Sign up

Export Citation Format

Share Document