Reviving demand pull perspectives: the effect of demand uncertainty and stagnancy on R&D strategy

This paper looks at the effects of demand uncertainty and stagnancy on firm's decisions to engage in R&D activities and the amount of financial effort devoted to such activities. In so doing, the paper makes a number of contributions to the innovation literature: first, it adds to the recently revived debate on demand-pull perspectives in innovation studies by examining demand-related (lack of) incentives to invest in innovation. Second, it complements the emerging literature on barriers to innovation by focusing on demand-related obstacles rather than on the more frequently explored financial barriers. Third, it analyses whether experiencing uncertainty or a lack of demand is a sector-specific feature. Firms active in high- or low-tech manufacturing or in knowledge intensive or low-tech services might be more or less dependent on demand conditions when deciding to perform R&D. We find that uncertain demand and lack of demand are perceived as two quite distinct barriers. While demand uncertainty does not seem to constrain R&D efforts, the perception of a lack of demand has a marked impact on not only the amount of investment in R&D but also the likelihood of firms engaging in R&D activities. We interpret this evidence in terms of the specific phase in the innovation cycle in which decisions to invest in R&D are taken. Sectoral affiliation does not seem to be a factor in demand conditions, supporting the conjecture that positive expectations regarding market demand are structural and necessary conditions that have to be satisfied for all firms prior to them investing in R&D

Why do manufacturing industries invest in energy R&D?

Energy R&D can have major social and economic impacts and is a critical factor in addressing the challenges presented by climate change mitigation policies. As well as the energy utilities themselves, firms in other sectors also invest in energy R&D; however, while various studies have examined the determinants of R&D in the former, there are no analyses of energy R&D drivers in other industries. This paper seeks to fill this gap by examining the determinants of investment in energy R&D in non-energy industries. We focus on manufacturing industries where we can differentiate between energy and non-energy R&D related expenditure. The empirical analysis is carried out for 21 sectors in Spain for the period 2008–2013. To overcome problems of data availability, we construct a comprehensive database from several surveys. The data show the importance of taking into account the efforts devoted to energy R&D by the manufacturing sectors in order to have more complete information about the total investment made in energy R&D. The results of the estimations indicate the importance of the energy R&D developed by firms that supply the energy utilities

Challenges for R&D and innovation in energy

In recent years,there has been a growing interest in the role of R&D and innovation in energy efficiency and dealing with climate change.To improve our knowledge in these matters a workshop was organized in Barcelona,Spain,in January 2014.This introduction to the special issue first presents some insights from the literature on challenges for R&D and innovation in energy.The second section summarises the articles from this workshop that make up this special issue and that provide new insights into innovation in energy.All the articles include energy policy recommendations based on the empirical analyses carried out

Electricity regulation and economic growth [WP]

The main objective of this paper is to analyse the effect of electricity regulation on economic growth. Although the relationship between electricity consumption and economic growth has been extensively analysed in the empirical literature, this framework has not been used to estimate the effect of electricity regulation on economic growth. Understanding this effect is essential for the assessment of regulatory policy. Specifically, we assess the effects of two major regulations, renewable energy promotion costs and network cost, on electricity consumption and growth. A dataset for the period 2007-2013 and 22 European countries was compiled based on CEER reports and EUROSTAT databases. The results of the empirical analysis show that the two regulation instruments have a negative effect on electricity consumption and economic growth and provide estimates of their effects on growth in quantitative terms

R&D drivers and obstacles to innovation in the energy industry

The energy industry is facing substantial challenges that require innovation to be fostered. In this paper we analyse the main drivers of R&D investment and obstacles to innovation in this industry. We examine, firstly, whether the stated R&D objectives pursued by firms play a role in their R&D effort. Secondly, we analyse the effects of financial, knowledge and market barriers on the innovation outcomes of the firms. We rely on data from the Technological Innovation Panel (PITEC) for Spanish firms for the period 2004-2010. We use a structural model with three equations corresponding to the decision to carry out R&D or not, the R&D effort and the production of innovations. The results of the econometric estimations show, first, that R&D intensity is positively related to process innovation. Second, the main barriers that hamper innovation in the energy industry are related to market factors while financial and knowledge obstacles are not significan

R&D drivers and obstacles to innovation in the energy industry [WP-IEB]

The energy industry is facing substantial challenges that require innovation to be fostered. Nevertheless, levels of R&D investment and innovation remain quite low in comparison with other sectors. In this paper we analyse the main drivers of R&D investment and obstacles to innovation in the energy industry. We examine, firstly, whether the stated R&D objectives pursued by firms play a role in their R&D effort. Secondly, we analyse the effects of financial, knowledge and market barriers on the innovation outcomes of the firms. We rely on data from the Technological Innovation Panel (PITEC) for Spanish firms for the period 2003-2010. We use a structural model with three equations corresponding to the decision to carry out R&D or not, the R&D effort and the production of innovations. The results of the econometric estimations show, first, that R&D intensity is positively related to process innovation. Second, the main barriers that hamper innovation in the energy industry are related to market factors while financial and knowledge obstacles are not significant

Innovation strategies of energy firms [WP]

Investment by energy firms in innovation can have substantial economic and environmental impacts and benefits. Internal R&D is the main input and driver of the innovation process, but innovation involves other activities, including capital purchases and other current expenditures. While the R&D activities of energy firms have been analysed, few studies have examined the typology of their innovation activities. Here, we analyse the impact of the main characteristics of the sector’s firms on their decisions to invest in each of three types of innovation activity: namely internal R&D; external R&D; and, the acquisition of advanced machinery, equipment or software. In conducting this analysis, we take the potential persistence of innovation activities into account. We also examine the role that different innovation objectives have on firms’ investment decisions. Given that engagement in a specific type of innovation may result from decisions that are not taken independently of each other, we analyse whether there is any complementarity between the three innovation activities. In carrying out the empirical analysis, we draw on data for private energy firms included in the Technological Innovation Panel (PITEC) for Spanish firms for the period 2004-2013. We use panel triprobit models to examine potential complementarity

Innovation strategies of energy firms

Investment by energy firms in innovation can have substantial economic and environmental impacts and benefits. Firms engage in innovation for different reasons. The main objective of this paper is to analyse the role that the different innovation objectives have on firms' decisions to invest in each of three types of innovation activity: namely, internal R&D, external R&D, and the acquisition of advanced machinery, equipment, or software. We consider four objectives: process innovation, product innovation, reducing environmental impact, and meeting regulatory requirements. With this approach, we examine how energy firms innovate to reduce their environmental impact in comparison with other innovation objectives. In carrying out the empirical analysis, we draw on data for private energy firms included in the Spanish Technological Innovation Panel for the period 2004-2016. In the empirical analysis, we take the potential persistence of innovation activities into account and we use multivariate probit models to control for possible complementarities between the different R&D and innovation investments. Our results show that internal and external R&D are undertaken to address environmental objectives and to meet regulatory requirements while the acquisition of advanced machinery has the purpose of developing process innovations

Energy efficiency determinants: an empirical analysis of Spanish innovative firms [WP]

This paper examines the extent to which innovative Spanish firms pursue improvements in energy efficiency (EE) within their innovation objectives. The increase in energy consumption and its impact on greenhouse gas emissions justifies the greater attention being paid to energy efficiency and especially to industrial EE. The ability of manufacturing companies to innovate and improve their EE has a substantial influence on reaching the objectives regarding climate change mitigation. Despite the effort to design more eficient energy policies, the EE determinants in manufacturing firms have been little studied in the empirical literature. From an exhaustive sample of Spanish manufacturing firms and using a probit model, we examine the energy efficiency determinants to those firms that have innovated. To carry out the econometric analysis, we use a panel data coming from CIS (Community Innovation Survey) for the period 2008-2011 that includes 4,458 manufacturing firms. Among firm characteristics, the empirical results underline the importance of size in facilitating the adoption of technology that improves energy efficiency; while among the factors related to companies’ behavior, the favorable influence of organizational innovations and innovations related with the reduction of environmental impacts stand out as the main factors in carrying out innovations with the objective of increasing energy efficiency

What are the determinants of investment in environmental R&D?

To face the challenges posed by climate change, environmental R&D and innovation are critical factors if we hope to cut emissions; yet, investment in environmental R&D remains below the social optimum. The aim of this paper is to analyse the determinants of investment in environmental innovation and to detect the differences, if any, with the determinants of investment in general innovation. In addition, this paper examines the relationship between environmental innovation R&D expenditure and a range of policy instruments, including environmental regulation and other policy measures including R&D subsidies and environmental taxes. The empirical analysis is carried out for 22 manufacturing sectors in Spain for the period 2008-2013. To overcome problems of data availability, we construct a comprehensive database from different surveys. The main implications from our results are (1). Managerial strategy appears as a relevant driver of environmental R&D investments. (2) The establishment of a policy mix between environmental, energy and technological regulatory measures is recommended. (3) The promotion of self-regulation through actions that encourage companies to follow a policy that affects their energy efficiency and is environmentally friendly