Identifying barriers to wind energy diffusion in Colombia: A function analysis of the technological innovation system and the wider context

By utilizing only half of its total technical wind energy potential, Colombia would be able to supply the entire country's demand for electricity. Yet, Colombia has an installed capacity of 19.5 MW from wind power, representing about 0.4% of the total technical potential. In this paper, the slow diffusion of wind energy in Colombia is analyzed, by evaluating the functions of the Technological Innovation System (TIS) along with the influence of the wider context (Landscape Factors). A combination of expert evaluations (structured and semi-structured interviews) and a history event analysis revealed existing weaknesses in the TIS functions and influence from the wider context (landscape level). Several factors at the landscape level were found to have a significant influence on the TIS functions for wind energy in Colombia. Policy recommendations are provided to address barriers in order to advance the diffusion of wind energy in Colombia.     

The Role of Time in Assessing the Economic Effects of R&D

This study investigates the impacts of R&D on firm performance. It extends previous research by constructing alternative stocks of R&D‐Capital that take into account that time plays an important role in assessing the pay‐off of industrial research. The results show that even when we employed R&D‐Capitals that placed more emphasis on the industrial research that had been undertaken 7 years ago, the effects of R&D were very (statistically) significant and relatively high, thereby suggesting that the life of R&D (on average) tends to be long. The results however, vary across organizations depending on both firm size and the technological opportunities that a company faces. It appears that the depreciation rate of R&D investments is higher in the case of technologically sophisticated firms. In contrast, strategic investments in industrial research generate a relatively constant effect on the performance of other firms, supporting the notion that the corresponding returns for such firms decay slowly.     

Growth of De Alio and De Novo firms in the new and renewable energy industry

Firms entering new markets are either de alio, with business experience in other areas, or de novo, without such experience. De alio firms enter markets in advantageous situations, while de novo firms enter markets with innovation capabilities. This study determines whether de alio or de novo firms achieve faster sales growth as well as the duration of their growth when they enter the new and renewable energy industry. Panel data for global companies that entered the new and renewable energy industry after the 1990s show that de alio firms achieved higher growth rate than did de novo firms in the initial stages, but that entry type’s contribution to sales growth gradually decreased and disappeared four years after entrance. The results indicate that accumulated resources and new entrants’ former experiences in other industries have positive effects, contributing to initial success after market entry for a limited time. This finding suggests that firms improve the R&Cs (resources and capabilities) that are appropriate to their new environments for sustainable development.     

A fuzzy ANP-based approach to R&D project selection: A case study

Research and development (R&D) project selection is a complex decision-making process. It involves a search of the environment of opportunities, the generation of project options, and the evaluation by different stakeholders of multiple attributes, both qualitative and quantitative. Qualitative attributes are often accompanied by certain ambiguities and vagueness because of the dissimilar perceptions of organizational goals among pluralistic stakeholders, bureaucracy and the functional specialization of organizational members. Such differences in perceptions often hinder the attainment of consensus and coordination. Therefore, failures are frequent in R&D investment planning. To perceive the preferences of the various stakeholders and to map them into an analytical decision-making framework are challenging tasks. Further, risks and uncertainties are also associated with the investments and returns of R&D projects. This paper illustrates an application of fuzzy ANP (analytic network process) along with fuzzy cost analysis in selecting R&D projects. Fuzzy set theory is incorporated to overcome the vagueness in the preferences. The method adopted uses triangular fuzzy numbers for pair-wise comparison and applies extent analysis followed by defuzzification to determine the weights for various attributes.     

考虑扣件温频变的车轨桥垂向耦合系统振动能量研究

通过对扣件进行定频变温试验,结合温频等效原理与高阶分数导数FVMP模型建立扣件的温频变动态力学模型,并在车-轨-桥耦合系统中采用新建模型模拟扣件,基于功率流法系统地分析与评价扣件温频变动态力学性能对车轨桥耦合系统振动能量分布与传递的影响.结果 表明:考虑扣件动参数频变会使中高频段内的轨道结构振动能量增大,对低频段的轨道...     

Assessing the Effects of International Trade on Private R&D Expenditures in the Food Processing Sector

This study empirically investigates the effects of imports and exports on private research and development (R&D) expenditures in the food processing sector. An analytical framework discussing the various effects of international trade on R&D activities is presented. This is followed by an empirical analysis that uses a dynamic empirical specification for current R&D expenditures and for a cumulative measure of R&D stock. The empirical investigation is applied to a panel dataset covering Organization for Economic Cooperation and Development's countries. The empirical results show that increases in import intensity levels induce reductions in private R&D expenditures whereas increases in export intensity levels promote larger private R&D expenditures. These outcomes imply that the R&D-enhancing effects of exports are countered by the R&D-reducing effects of imports.     

Impact Assessment: assessing the social dimensions of fisheries research projects in the Asia-Pacific Region

Interest in understanding the social impact of publicly funded science research is growing globally. However, practical examples demonstrating how the social impacts of research for development are measured are negligible. This paper illustrates the utility of Impact Assessment (IA), Social Impact Assessment (SIA) in particular to measure and articulate the social dimensions of research for development. We employed substantive aspects of SIA to assess the social impacts of the Australian Centre for International Agricultural Research (ACIAR) funded fisheries research projects across Southeast Asia and the Pacific Island Countries. Data were collected through a survey, in-depth interviews, and case studies. Results illustrate that SIA can offer a nuanced understanding of the contribution of research for development to changes in culture, community health and wellbeing, livelihood and economy, and governance and politics, among others. We suggest that researchers, policymakers and research for development organisations consider incorporating SIA in their projects not only as a tool to assess impact but also as a process to manage and understand the social dimensions of science research.     

Vaccine R&D in Brazil: The effectiveness of push and pull regulations

Government regulations can guide the technological progress, investment in research and development (R&D), and institutional organization of a specific sector. In this context, using patent data, this study aimed to analyze the effectiveness of three laws that pertain to R&D in Brazilian pharmaceutical market for vaccines. The results reveal an increasing international interest in the Brazilian market since the promulgation of the Industrial Property Law. Despite its limitations, this study reveals significant efforts and promising results in Brazil with respect to ensuring that technological and industrial policies and strategies incorporate innovation in vaccine R&D and change the economy's competitive circumstances.