Evaluating the accessibility of essential medicines in China

Objective: To evaluate the accessibility of essential medicines in China through a new system which integrated the structure, process, and effect of the National Essential Medicine Policy (NEMP).

Methods: A structural equation model was built to verify the reliability of the evaluation system. This study utilized the Delphi method to obtain the structure and process index data, and used the WHO/HAI standard method for the effect index data to evaluate the NEMP. Six regions were selected for empirical analysis so that suggestions for optimization could be put forward.

Results: The structural equation model consisted of three parts: organization structure, executive process, and effect. The factor loading of the three indicators exceeded 0.5, indicating that this model complied with the preliminary fit criteria. In the organizational structure, rules and regulations and resource investment accounted for a large proportion, indicating that they had a great impact on the effect. As for the executive process, the weight of the seven indicators were similar, and they accounted for a large proportion, indicating that each indicator had a non-negligible impact on the effect. The “p” of all the three hypothesizes was less than .01, especially the “p” of hypothesis 3 was less than .001, indicating that the structure and process of NEMP affected the accessibility of the essential medicines, and three components of the model were positively correlated.

Limitations: Some errors may exist in achieving appropriate expert selection because of potential researcher bias in the Delphi approach. The results from only six provinces in China may not be generalized nationwide.

Conclusion: The structural indicators and process indicators have a significant impact on outcome indicators, and they also have correlations. That is, the formulation and implementation of the national drug policy and related supporting measures play an important role in improving the accessibility of essential medicines.     

CDM 20 years after

ABSTRACT

In year 1998, the seminal paper Research Innovation and Productivity: An Econometric Analysis at the Firm Level was published in this journal. The empirical framework, following on ideas in the research of Zvi Griliches at the NBER and commonly labeled CDM (the acronym of the three authors’ names, Crépon, Duguet and Mairesse) is one of the most influential contributions in recent literature on economics of innovation. The original CDM paper and papers inspired by its framework have received hundreds of citations in the empirical innovation literature. Whether directly linked or not to the CDM framework, the flow of studies improving on and enlarging the scope and methods of the empirical literature on R&D, innovation and productivity is continuing. Some of them, for example, focus on financing innovation, innovation and employment, innovation and trade, competition, or intellectual property; some adopt a managerial perspective, while others prefer an innovation system approach in a Schumpeterian tradition, etc. This introduction to the special issue of EINT surveys a collection of 12 papers on the CDM model by 25 authors from eight countries. The papers take stock of the evolution of research based on the original CDM model launched 20 years ago, linking it to the previous literature, and proposing developments and generalizations of it in various dimensions.     

Cash flow vs. collateral‐based credit

We study factors affecting micro, small and medium‐sized enterprises (MSMEs) receiving loans and the effect of these loans on MSMEs performance. We study two types of loans – a new type based on cash flows and a traditional‐style loan based on collateral. We use unique surveys of MSMEs from Bulgaria, Georgia, Russia and Ukraine. We find that MSMEs receiving a cash flow or collateral loan in the past are more likely to receive the same type of loan (and larger sized) in the future and that cash flow loans may be the preferred form of credit. Both types of loans are related positively to most performance indicators, enabling the MSMEs for instance to be more profitable and expand production. The cash flow loans also appear to be particularly attractive credit delivery schemes for micro and small enterprises. Finally, the effects of the smallest loans are often negative, suggesting that the minimum loan size is an important policy issue.     

Conditional factors Pushing catch-up across developed and emerging countries in the nanotechnology sector, 2000–2010

ABSTRACT

The aim of this article is to test national and sectorial technological and innovation capability factors, as well as social capability indicators, which could explain a possible conditional convergence across countries in nanotechnology within the context of a model of innovative technological knowledge β convergence. Based on growth convergence models, our proposal also takes into account the Schumpeterian theory, the National System Innovation –NSI– approach, and particularly the sectorial system of innovation and the technological catch-up hypothesis, as well as theoretical and empirical literature on conditional convergence. The findings allow us to confirm that new nanotechnology knowledge convergence is conditioned by a higher growth rate of technological capabilities in nanotechnology: growth from the initial level of patents granted, cumulative knowledge, and links to technological and scientific activities. Finally, as regards social capabilities, only the institutional weakness variable (corruption index) associates negatively with β convergence. As an emergent paradigm, we realize that convergence and catch-up are starting processes, which could allow less technologically developed countries to benefit from higher growth of some of the factors identified.     

Policy mix to foster innovation in the Dominican Republic: attempts from an empirical perspective

ABSTRACT

This paper aims to understand firms’ preferences for incentives to foster innovation in Dominican firms. A key research question arises: What are the most preferred science, technology, and innovation (STI) policy options to support innovation in Dominican firms? This research relies on the concept of policy mix and the conjoint analysis to support the empirical approach. Over 300 firms were surveyed across the country, and we discovered that Dominican firms prefer more complex STI policy options, including at the same time research grants, guarantee funds, and tax incentives to support several kinds of innovative activities. But also, firms need to understand the potential of available options such as tax credit and other monetary instruments, including guarantee funds. It is concluded that in the medium and long term, the STI policy mix approach could support as part of the Dominican policy agenda, an economic transition toward a more resilient and competitive economy.     

A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0

ABSTRACT

This study proposes a filtering approach based on text classification and a fuzzy multi-criteria decision-making technique to select the relevant bibliometric data for further analyses in the scope of bibliometrics, scientometrics, and related methodologies. The proposed approach is illustrated on Industry 4.0 and internet of things which are the concepts that currently draw utmost attention with a growing number of research and applications. Accordingly, various findings are presented revealing the characteristics of the selected bibliometric data with the help of text and network analytics. The potential contribution of this study is two-fold such that the study not only suggests a novel approach for clarifying the retrieved bibliometric data but also emphasises the mainstream research areas and directions of Industry 4.0 along with the concept of the internet of things. Thus, an analysis framework with computing techniques has been used to reveal the characteristics of literature in a field of technology.     

How do business schools compete in Latin America? Stability and best predictors of success for the AmericaEconomia MBA Ranking

ABSTRACT

The main aim of this paper is to present a longitudinal analysis of the AmericaEconomia MBA Ranking for the period 2005–2014. AmericaEconomia was the first international ranking specifically devoted to Latin American business schools, and with data gathered from this publication, we build a panel to study its stability and the main determinants of a school‘s position in such ranking. We examine the reliability of the ranking, that is whether changes in the relative positions are not just due to white noise, and compare its stability with those of the US and other global rankings. We also empirically determine which are the key quality variables this ranking is promoting for Latin America Business Schools and the evolution of these business schools during the period under study. Unlike previous literature that usually considers dynamic Tobit models for ranking analysis, we put forwards an alternative methodology based on a system GMM estimator with first-differenced instruments. We argue that dynamic Tobit models are appropriate only if you have truncated data about the ranking variable but full data on Business Schools variables.     

The impact of adoptive management innovations on medium-sized enterprises from a dynamic capability perspective

ABSTRACT

This paper focuses on the nature of adaptive managerial innovation and its effects on organisational dynamic capabilities. Using an original model based on 16 items and PLS – SEM instrument on a sample of 261 Romanian companies, we conclusively demonstrated that dynamic capabilities are an important determinant for management of innovation. Our study further reveals the positive effects of sensing, absorptive and integrative capabilities upon the innovation process. We consider that our study contributes to the development of pragmatic approaches on organisational dynamic capabilities and management of innovation literature.     

International patent analysis as a tool for corporate technology analysis and planning

New, techniques of international patent anabsis are illustrated and resultsfrom preliminary validity tests of these techniques are presented. Indicators of technological activity, technological significance and commercial potential are constructed, and used to analyze fiber-based opto-electronic couplers and monoclonal-antibody-based diagnostic kits at the levels o f the technology, nation and firm. The international patent indicators are found to be closely correlated with R&D expenditures, scientific publications and new product introductions. They also relate to these indicators in ways that moke sense as specified in simple regression models of the innovation process. Comparisons of patent analysis results with expert opinion (for two process technologies) reveal that technology–level analyzes conform quite well with expert opinion, but national – and firm–level analyes vary from a low to a modest correlation with expert opinion. The authors conclude that the techniques can provide important information for corporate technology management, but that studies of additional technologies and further validity tests are needed.     

Automated feature extraction from social media for systematic lead user identification

Manufacturers strive to rapidly develop novel products and offer solutions that meet the emerging customer needs. The Lead User Method, emerging from studies on sources of innovation by the scientific community, offers a validated approach to identify users with innovation ideas to support rapid and successful new product development process. The approach has been more recently applied on online communities, where collection and analysis of rich user data are performed by expert practitioners. In this paper, feature extraction techniques are outlined, that enable automated classification and identification of lead users that are present in online communities. The authors describe two case studies to construct a classification model that is then used to identify online lead users for confectionery products, and to evaluate the outlined feature extraction techniques. The presented research points to opportunities in automated identification within the lead user approach that further reduce the resource and time costs.     

基于科学的产业创新主体专利合作伙伴识别研究

近年来,发展基于科学的产业已成为全球科技和产业竞争的焦点。基于科学的产业具有开放式创新特点,产业创新主体致力于寻找合作伙伴以充分利用外部资源。专利信息涵盖丰富的技术信息、法律信息及经济信息,是创新主体寻找合作伙伴并开展创新合作的重要资源,但鲜有学者运用专利信息研究基于科学的产业创新问题。构建基于科学的产业专利合作伙伴识别研究框架,以石墨烯这一典型的基于科学的产业为例,采用专利技术组合和社会网络分析方法,从行动者网络理论的4个行动者转译环节出发,全面展现我国石墨烯产业中最具潜力的国内和跨国专利合作伙伴识别过程,以挖掘专利合作机会并提高企业竞争优势。最后,从政府、高校、企业3个层面为我国石墨烯产业创新发展提供决策参考。     

Incentives and disincentives to drug innovation: evidence from recent literature

Aim: Drug innovation is strongly driven by economic incentives. How these incentives work in determining or changing the level of activity of innovators and the direction of their innovation remains understudied. We seek to address these issues in reviewing recent literature on drug innovation, which offers one major unifying theme of pharmacoeconomic scholarship presented at the 2019 AEA-ASSA annual convention.

Methods: Drawn from three AEA-ASSA convention panel sessions, papers were reviewed for newly charted research terrains and new research trajectories, and their theoretical and practical implications on efficiency, effectiveness, and value in the production and utilization of pharmaceutical products.

Results: While high and continuously rising drug prices are typically claimed as the price of scientific innovation, the reviewed literature finds that this link only partially accounts for the problem. High risk aversion owing to information asymmetries and vastly intractable uncertainties is prevalent among innovating firms. Predatory business models abound. Reverse predatory strategies also exist to maintain product exclusivity without much added clinical benefits, and to constrain generic competition. CEO compensation practices contribute to rising drug prices. Finally, the US government’s hands-off policy on drug list prices leave the forces of supply and demand to allocate them and reward innovation (at times perversely), even as the government extensively regulates or over-regulates practically every other aspect of innovation.

Conclusions: Price-elasticity of demand is critical in drug innovation. The drug value chain is price-sensitive to the balance of incentives and disincentives to innovation. American health policy should consider charting a middle course that introduces some form of regulatory price control, while stimulating and sustaining the benefits of market competition. That should incentivize stakeholders to take into account both resources and value for money in making decisions based on best-quality, clinical-economic evidence.     

The evolutionary process of disruptive green innovation in China: evidence from the electric bicycle sector

ABSTRACT

To achieve market-oriented green innovation, this paper explores the evolutionary path and driving factors of disruptive green innovation using an exploratory case study in which data are collected from the Luyuan electric bicycle company in China. The results reveal that disruptive green innovation is a dynamic and cumulative process. Entrepreneurship drives to open new markets. Competition within the industry drives to expand the new markets. Competition among industries and the subsidy policy drive to encroach on mainstream low-end markets. Technology and marketing drive to encroach on mainstream high-end markets. To scholars, our research contributes to the literature on green innovation by uncovering the application of disruptive innovation theory in the field of green innovation. To practitioners in firms, this evolutionary process can function as a frame of reference, enabling the tailoring of a market-oriented strategy for green innovation.     

Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017

ABSTRACT

Competitive Intelligence (CI) is a relatively novel discipline that is generating a growing interest in the field of strategic management. Its novelty, approach and origin have meant that the definition of the CI entails different interpretations and utilities depending on the audience. This research develops a conceptual analysis of CI in literature by quantifying the bibliometric performance indicators, identifying the main authors, countries, journals and research areas and evaluating the intellectual structure and evolution of the discipline using SciMAT as bibliometric analysis software. The bibliometric performance analysis is focused on the citation-based impact of the scientific output, while the science mapping illustrates the evolution of the research themes that build the discipline through the use of bibliometric network analysis techniques. To this purpose, the publications related to CI from 1984 to 2017 available at Scopus have been retrieved (5,275 publications). Finally, it offers a framework to support future researches.     

Economic evaluations in migraine: systematic literature review and a novel approach

Abstract

Background: For novel migraine therapies, economic evaluations will be required to understand the trade-offs between additional health benefit and additional cost. The purpose of this study was to conduct a systematic literature review (SLR) to identify previous economic evaluations in migraine from the United Kingdom or Irish perspective to critically appraise these evaluations and to propose, if necessary, a novel modelling approach that can be used for future economic evaluations of migraine therapies.

Methods: An SLR was conducted to identify previous economic evaluations of preventive migraine treatments. Key opinion leaders were consulted to determine the criteria for a robust migraine economic evaluation. Economic evaluations identified in the SLR were appraised against these criteria, and a novel cost-effectiveness model structure was then proposed.

Results: Eight records reporting on published economic evaluations were identified and critically appraised for general quality. Expert consultation provided 6 recommendations on the ideal model structure for migraine that is both clinically and economically meaningful. A decision-tree plus Markov structure was then developed as a cost-effectiveness model for migraine therapies where each health state is associated with a patient distribution across monthly migraine day (MMD) frequencies.

Conclusions: Future migraine economic evaluations should allow for assessments across the full spectrum of migraine, a response-based stopping rule, and the estimation of benefits and resource costs based on MMD frequency. The approach proposed in this paper captures all of the desired elements for an economic evaluation of migraine therapy and is suitable to assess new migraine therapies.     

Information technology innovation and its impact on job creation by SMEs in developing countries: an analysis of the literature review

ABSTRACT

This study reviews the literature on the role of technology innovation in job creation through small businesses in developing countries. A seven-step approach to the literature review is used for synthesising relevant data. The results show that technology innovations influence employment creation in small businesses positively and act as a driving force for economic development. The effective use of information technology in small businesses has a major impact on their competitiveness and access to international markets. Thus, the need for the government to develop technology innovative strategies for small businesses to actualise their firm performance and enhance job creation is recommended. The findings and proposed theoretical model of the study enrich existing theories and would help policymakers understand the role of information technology innovation in job creation and economic development.     

The Non-Trivial Choice between Innovation Indicators

We discuss the strengths and weaknesses of five alternative innovation indicators: R&D, patent applications, total innovation expenditure and shares in sales taken by imitative and by innovative products as they were measured in the 1992 Community Innovation Survey (CIS) in the Netherlands. We conclude that the two most commonly used indicators (R&D and patent applications) have more (and more severe) weaknesses than is often assumed. Moreover, our factor analysis suggests that there is little correlation between the various indicators. This underlines the empirical relevance of various sources of bias of innovation indicators as discussed in this paper.     

Innovation in services: a review of the debate and a research agenda

The paper reviews the debate on innovation in services which has flourished over the last 20 years and suggests a research agenda for the services innovation literature. We discuss whether, and the extent to which, the ill-definition and mis-measurement of service output have influenced the conceptualization and analysis of innovation in services. We propose a reclassification of the literature according to whether it has been mainly assimilated or differentiated with respect to the traditional conceptualization of innovation in the manufacturing sector. We also review the integrative (or synthesizing) contributions, and suggest a taxonomy for the modes of innovation in services, based on the Lancasterian characteristics-based approach to product definition. We conclude with a summary of the key arguments and a proposed agenda for the evolutionary theory to integrate the conceptualization of innovation in services.

A systematic literature review of the relationship between demographic diversity and innovation performance at team-level

ABSTRACT

Demographic diversity is a relevant aspect to consider when forming innovation teams, particularly where the labour market needs to be transformed in terms of age, gender and race (as in South Africa). Existing research reports mixed findings about the effects of demographic diversity on innovation performance of teams. This study contributes to the existing equivocal research by systematically reviewing the literature about the effects of demographic diversity and its dimensions on innovation performance of teams. Results show that high diversity of demographic dimensions, namely age, gender and culture increases team innovation performance when considered individually while the overall team demographic diversity has mixed effects. This review also confirms the existence and effects of various moderators that can be leveraged to develop team-formation policies such that the direct effects of demographic diversity and its dimensions on team performance can be influenced to foster the desired innovation performance.     

What are the top five journals in economics? A new meta-ranking

We construct a meta-ranking of 277 economics journals based on 22 different rankings. The ranking incorporates bibliometric indicators from four different databases (Web of Science, Scopus, Google Scholar, and RePEc). We account for the different scaling of the bibliometric indicators by standardizing each ranking score. We run a principal component analysis to assign weights to each ranking. In our meta-ranking, the top five journals are given by: Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature (JEL), Journal of Finance, and Econometrica. Additionally, leaving out the JEL as a survey journal and the finance journals in our top 10 list we confirm the perceived top five journals in the economics profession.