Are environmental concerns drivers of innovation? Interpreting Portuguese innovation data to foster environmental foresight

The relationship between environmental concerns and innovation is analyzed in the context of Portuguese manufacturing firms, with the ultimate goal to foster measures of environmental foresight.Based on data from the Community Innovation Survey in Portugal, simple statistical tests, including Chi², t, and Levene's tests and contingency tables (adjusted standardized residuals), were used to study the relationship between firms' characteristics and the introduction of innovation aiming to reduce environmental damage. Environmental foresight is discussed based on three groups of variables that allow considering the industrial context that frames firm's actions, the economic performance of the firm and its innovation patterns.Results show that the development of innovation due to environmental concerns is positively associated with the firm's size and exports share, and negatively associated with its technological content. Moreover, it is shown that the firms that introduced innovations due to environmental concerns are likely to belong to an economic group, to have performed continuous R&D, or received public support. It is also shown that “lack of organizational flexibility” and “lack of receptivity by customers” are the two most relevant innovation barriers for these firms.     

The dynamics of environmental innovations: three stylised trajectories of clean technology

In this article, we explore the dynamics of environmental innovations developed by firms to comply with environmental regulations. Our analysis is based on a micro-simulation model of industrial dynamics. The question arises: how do firms competing in the same industry deal with environmental issues without altering their productive efficiency or the performance of the product? We focus on clean technology which seeks to combine environmental and productive dimensions by way of innovation offsets. Our simulations show that an innovative strategy based on a good balance between environmental and productive dimensions takes more time to develop and needs to address a ‘competence destroying effect’. Finally, we study favourable conditions for the development of this type of clean technology and draw some policy implications.     

Optimal combination of innovation and environmental policies under technology licensing

Under what conditions will a carbon tax encourage environmental innovation? Can a regulator design an optimal environmental policy to reduce emissions and to promote clean technologies? This paper studies optimal environmental policy in the situation where a monopoly innovator develops and licenses clean production technologies to downstream polluting firms. We find that (i) a higher emission tax will encourage innovation when the burden of the tax payment in the polluters' costs and/or the price-elasticity of the demand for polluting goods are small, (ii) the innovation-inducing effects of emission tax are inversely related to the emission-reduction (Pigouvian) effects of the tax, and (iii) the social optimum can be achieved by the mix of tax and subsidy. We also show that if the policy instrument is limited to the tax, the second-best tax rate would lie between the marginal damage and the first-best rate. By performing numerical simulations, we also demonstrate that the optimal mix of the emission tax and R&D subsidy can have “double dividend” benefits.     

Environmental decentralization and innovation in China

This paper investigates the spatial effect of environmental decentralization on innovation using the spatial Durbin model from 2006 to 2015 in China. The results not only confirm the local effect of environmental decentralization on innovation, but also exists the spatial effect after introducing the spatial weighed matrix. We also note that different types of environmental decentralization have different effects on innovation. The impact of the environmental decentralization of governance on innovation is stronger than that on finance in the local effect, while the spatial impact is opposite to the local effect. The policy implication is that the government should apply a special type of environmental decentralization to increase innovation. Enhancing environmental decentralization of finance for local and neighbor innovation and decreasing the environmental decentralization of governance are better for increasing innovation.     

主动还是被动：企业环保战略与绿色技术创新

以广东地区265家民营企业为样本,从利益相关者理论的视角考察了环保战略对绿色技术创新效益的影响以及企业议价能力与自然环境动荡的权变效应。主要结论包括:①企业制定主动型或被动型环保战略与绿色技术创新外部效益具有U型关系;②企业的议价能力可以正向调节被动型环保战略与绿色技术创新外部绩效的U型关系;③企业所处自然环境的动荡可以正向调节主动型环保战略与绿色技术创新外部绩效的U型关系。     

A technology opportunities analysis model: applied to dye-sensitised solar cells for China

Technology opportunities analysis (TOA) can support policy-makers or managers in making strategic technical decisions so as to enhance their technological innovation capability and international competitiveness. This paper presents a multi-level framework to support and systematically identify technological opportunities. Patent data as a key component of technology innovation are used to enable TOA within the framework in the present research. At the research and development (R&D) level, we anticipate the directions of technology development based on technology morphology. Countries’ development emphases can also be investigated in order to help identify their R&D strengths and weaknesses and to seek promising development pathways. At the level of competition, we devise the assignee-technology analysis to obtain insight into competitive participants’ technical emphases and intents. It is also used to explore possible collaboration opportunities among them. At the market level, we apply patent family analysis to understand countries’ target markets and to assess prospects for the commercialisation of their technology. We pursue TOA to explore China's opportunities and challenges in dye-sensitised solar cells. The empirical case analysis supports the effectiveness of the TOA model. We believe it can be adapted well to fit other emerging technologies.     

Scenarios of technology and innovation policies in Europe: Investigating future governance

In Europe, public research, technology and innovation policies are no longer exclusively in the hands of national authorities: increasingly, national initiatives are supplemented by, or even competing with, regional innovation policies or transnational programmes, in particular the activities of the European Union. At the same time, industrial innovation increasingly occurs within international networks. Are we witnessing a change of governance in European innovation policy? Based on some theoretical assumptions concerning the relationship between the “political systems” and “innovation systems” in Europe, the paper speculates about the future governance of innovation policies, trying to pave ways for empirical analyses. It sketches three scenarios stretching from (1) the idea of an increasingly centralised and dominating European innovation policy arena to (2) the opposite, i.e., a progressive decentralisation and open competition between partly strengthened, partly weakened national or regional innovation systems and finally to (3) the vision of a centrally “mediated” mixture of competition and cooperation between diverse regional innovation cultures and a related governance structure.     

Technological innovation strategy: how do technology life cycles change by technological area

Discussions on the patterns of technological innovation have significant implications in terms of the efficient distribution of national R&D resources and the establishment of corporate managerial strategies. This study is focused on calculating and analysing technology cycle time (TCT) by technological area based on patent data that can be used as easily accessible objective indicators for the purpose of modelling the patterns of technological innovation by period and technological area. The main technological areas handled by the study include medical science, vehicles, metallurgy, and computing. Of the patent data registered with the United States Patent and Trademark Office from 1990 to 2014, International Patent Classification sub-class codes representing each technological area were selected to collect patent data, and to generate TCT statistics every five years. The TCT statistics generated is interpreted as the technological life cycle, to be used in modelling technological innovation patterns individualised by technology and period.     

Climate change—environmental and technology policies in a strategic context

There are a number of features of climate change which make it one of the most challenging problems confronting policy makers and policy analysts. In this paper we consider three such features: (i) climate change is a global pollutant so there are strategic interactions between governments over climate policy; (ii) cutting greenhouse gas emissions can have significant cost effects across a number of sectors of the economy, raising concerns about the implications of climate change policy on competitive advantage; (iii) the long-time scales on which climate change operates means that an important dimension of climate change policy is policy towards R&D to cut the costs of dealing with climate change. In Ulph and Ulph (1996) [Ulph A, Ulph D (1996) In: Carraro C, Katsoulacos Y, Xepapadeas A (eds) Environmental policy and market structure. Kluwer, Dordrecht, pp 181–208] we presented a model to analyse these issues, but considered only environmental policies. In this paper we extend that analysis to allow for both a richer set of policy instruments (environmental and technology policies) and a richer strategic context.     

Nanotechnology as general-purpose technology: empirical evidence and implications

Developments in nanotechnology are poised to have a pervasive effect on various industries for years to come and nanotechnology management research is beginning to appear in peer-reviewed management journals. Much of the research on this early, emergent technology is focused on issues of definition and identification of technology type. In this study, we searched the US Patents and Trademarks Office database and used an expert validation methodology to develop a sample of the first 25 years (1980–2004) of nanotechnology patenting activity. We analysed this data for early evidence that nanotechnology is a general-purpose technology (GPT) – a transformative technology characterised by its pervasiveness, improvement over time, and pattern of diffusion. Our findings indicate that nanotechnology patenting activity has been growing in intensity and relative to overall patenting activity, and that it is pervasive across industry and technology sectors. Implications of nanotechnology as a GPT are discussed.     

Environmental innovation and the cost of pollution abatement revisited

It is widely assumed in the literature that environmental innovation reduces the marginal cost of pollution abatement. In this paper we show that this is not necessarily the case and we provide some unexpected outcomes.     

Technology-forcing through environmental regulation

This paper analyzes the demand characteristics of innovation in pollution abatement and the interaction between a regulator and a polluter under a technology-forcing policy. Important demand-driven determinants of innovation in pollution control are examined, such as uncertainties surrounding unexplored technologies, the length of the compliance period and the maximum abatement costs the regulator is willing to accept. We derive the formal condition that the regulator balances the marginal utility of emissions reduction against the marginal disutilities of a longer compliance time and the increased uncertainty about the feasibility of a more stringent standard.     

The role of the technology barometer in assessing the performance of the national innovation system

Along with increasing significance of innovation in socio-economic development grows the need to utilize future-oriented knowledge in innovation policy-making. Foresight and road-map exercises are aimed at supporting planning and priority-setting of R&D and have become indispensable elements of policy-making. Besides technological development decision-makers need all-inclusive knowledge of future developments of society, economy and impacts of science and technology. When the worldwide competition is about the attractiveness of innovation systems, such knowledge is important for comparing the innovation performance of nations to other economies. Finland is among the countries improving her position in worldwide performance comparisons since the late 1990s and reached leading nations in early 2000s. This attainment raised national interest and critical debate of the reliability of the data basis and methodologies used in comparisons. In The Finnish Association of Graduate Engineers (TEK) this discussion led to a decision to develop an own comparative exercise together with VTT. In addition to performance analysis based on ex-post indicators the barometer includes the questionnaire of the views and visions of the future development by relevant national actors. The theoretical framework of the barometer is based on the evolution of economies from industrial development phase to sustainable knowledge society. The barometer has been undertaken in 2004, 2005 and 2007, and a wide interest and emerged discussion of barometer proves that a social interest and order exists for the barometer. The article presents the background, methodology and results of technology barometer, discusses its impacts on national discussion, and gives perspectives for the future development of barometer.     

中国风电技术专利信息分析

从中国风电技术的应用及风电产业的发展出发,从专利类型、年度趋势、技术领域、区域分布、申请人、发明人和生命周期等角度,分析了1985—2010年3月期间中国风电技术领域的专利信息。研究结果显示:中国风电技术领域专利处于快速发展阶段;从专利类型看,该领域专利主要为发明专利和实用新型专利;从技术领域看,该领域专利主要集中于IPC-F03D;从区域看,江苏、上海、北京等风能资源较丰富或科研力量较强区域的该领域专利申请量较多;从申请人看,通用电气、艾劳埃斯.乌本和维斯塔斯等企业或个人在中国风电技术领域的专利具有较强的竞争力;从发明人的角度看,艾劳埃斯.乌本是中国风电技术领域最具竞争力的创新者。     

Strategic technology editing of the patent stage: lesson from a case of inkjet printer development

Patents are conventionally regarded as representing post-procurement of rights based on results of research and development (R&D). Patents can also be regarded as factors promoting R&D itself. In this study, the author examines the strategic meaning of patents in R&D through analyses of the R&D processes at Canon Inc., which is widely considered to submit patents strategically. The author identified characteristic behaviour related to patent acquisition in the R&D of inkjet printers. Canon constructed a strong patent group precisely by editing patents submitted earlier. Characteristic patent submissions were also identified: they elevated the obtained R&D results to higher concepts as milestones of R&D. These findings are discussed from the viewpoint of the meaning of patents for R&D and the possibility of effective R&D at the patent stage.     

Low-cost innovation and technology-driven innovation in China’s machinery industry

ABSTRACT

The political concept of indigenous innovation in China sets out a guiding principle for the country’s major transformation towards becoming an innovation nation. However, firms’ innovation strategies and capabilities in middle-income countries are usually heterogeneous, making a uniform response to this concept at the company level highly unlikely. The paper’s empirical contribution is based on analysing survey data on technologically advanced machinery firms in China. It uses a multinomial model approach to establish which drivers of innovation go hand-in-hand with the different innovation strategies. This paper identifies different innovation strategies and forms of innovation that co-emerge as part of this transformation, leading to four firm groups: low-cost producers, technology-oriented producers, user-oriented innovators and technology-oriented innovators. It thus contributes to a more differentiated view of the effects of China’s innovation-focused transformation. We find that R&D investments, governmental R&D support and scientific collaborations are key factors to distinguish between the above-mentioned groups.     

Analyzing the innovation process for environmental performance improvement

This paper elaborates the concept of demand articulation in product innovation to analyze innovation for environmental improvement. A conceptual framework has been developed that allows analysis of social demand articulation, the process that stimulates firms toward environmental innovation. Knowledge and information flows that raise the technological capability and awareness level of firms and consumers for environmental improvement are discerned. Their indicators have been developed based on the number of research papers and newspaper articles on environmental issues, respectively. Statistically significant results have been obtained on the role of knowledge and information flows on environmental innovations. Use of the framework on case studies revealed knowledge and information flows on local air quality and global warming led to the development of high-efficiency, low-emission automobiles. In conclusion, social demand articulation is an effective process by which knowledge and information flows mobilize the requisites needed for a successful environmental innovation.     

Green technical innovation, environmental expenditure, and the environmental Kuznets curve： a dynamic s model

The relationship between the emission of pollutant and economic growth has attracted a lot of attention in the environmental debate of the recent decades. Based on some theoretical and empirical research on environmental Kuznets curve （EKC）, this paper introduces the environmental technical innovation and environmental investment into Salow growth model to discuss the relationship between GDP per capital and the emission of pollutant By the dynamic simulation and parameters analysis, the results of the model indicate： （1） when ＂green＂ technical progress and environmental investment are fixed, the relationship between GDP per capital and the emission shows the linear relationship; （2） ＂green＂ technical progress can lead to the positive growth rates with a decreasing level of emission, which is compatible with an EKC; （3） the proportion of the environmental investment can lead the different growth rates and level of emission. These results can explain that developing countries are ＂too poor to be green＂.     

Linking technology innovation strategy,intellectual capital and technology innovation performance in manufacturing SMEs

The research interest on Intellectual Capital (IC) has been increasing, adopting different definitions and developing diverse measurement tools. Nonetheless, little research focuses on small and medium-sized enterprises (SMEs) and the relation between IC and innovation management. The purpose of this paper is to investigate the role of technology innovation strategy on the IC development and then on innovation performance in manufacturing SMEs. After conducting a survey, measures of IC for SMEs have been performed and an integrated structural equation model has been created. Results demonstrate that technology innovation strategy affects all IC components, the internal structural capital supports the relational and human capital, and the latter two influence firm technology innovation performance. This study contributes to developing an IC measurement system in SMEs and to emphasise the importance of single IC components in improving technology innovation performance.     

Exploring causal relationships in an innovation program with Robust Portfolio Modeling

Many countries seek to foster the commercial exploitation of science-based research results through selective policy instruments. Typically, these instruments involve processes of follow-up data collection where the results of ex ante and ex post assessments are systematically recorded. Yet, several factors – such as the presence of multiple objectives, predominance of qualitative data and missing observations – may complicate the use of such data for adjusting the management practices of these instruments. With the aim of addressing these challenges, we adopt Robust Portfolio Modeling¹ (RPM) as an evaluation framework to the analysis of longitudinal data: specifically, we (i) determine subsets of outperforming and underperforming projects through the development of an explicit multicriteria model for ex post evaluation, and (ii) carry out comparative analyses between these subsets, in order to identify which ex ante interventions and contextual characteristics may have contributed to later performance. We also report experiences from the application of RPM-evaluation to a Finnish innovation program and outline extensions of this approach that provide further decision support to the managers of innovation programs.