Using the functional analysis to understand the emergence of biomaterials within an existing biotechnology system: observations from a case study in Turkey

ABSTRACT

The paper applies a functional approach to the analysis of an emerging technology within an innovation system (IS) in a developing country. By doing so, the paper identifies the advantages and drawbacks of the approach through a dynamic analysis and highlights the life cycle of an IS within which a new technology is emerging. This is done empirically by analysing the emergence of biosimilars within the infant Turkish biotechnology system mainly from the perspective of firms. Our analysis of the Turkish case illustrates how the tool of functional approach could be valuable in understanding the dynamics of a technology in a developing country context. Policy suggestions and implications of the study are presented as concluding remarks.     

The impact of old technologies on innovation: the case of the US biotechnology industry

This paper investigates the implications of a technology sourcing strategy maintaining a focus on the rediscovery of old technologies. Specifically, we study the different impact exerted by old technological solutions, distinguished on the basis of their organisational and industrial origins, on the innovation value. We develop a set of hypotheses about the impact exerted by four distinct types of old technological solutions (firm core technological heritage, firm lateral technological heritage, competitors’ technological heritage and others’ technological heritage) and test them on a sample of 1189 biotechnology patents registered at the US Patent and Trademark Office from 1979 to 2002. Results strongly support our hypotheses, revealing that: (1) using both firm core technological heritage and others’ technological heritage has an inverted U-shaped effect on innovation value; (2) employing firm lateral technological heritage is positively related to innovation value; (3) a negative relationship occurs between competitors’ core technological heritage and the value of subsequent innovations.     

Trade,growth and income redistribution: A case study of India

The concern of this exercise is with the effectiveness of trade policies and their assessment in achieving economic growth and income equality. A link between growth and equality is provided through employment. If there is substantial increase in employment, the inequality of income distribution is likely to be reduced. Thus, trade by bringing about higher levels of production and employment may reduce income inequality. We have applied a closed input-output model to the Indian data to estimate the interrelationships between trade, growth and income redistribution. It has been found that employment opportunities could be raised substantially through redistribution as well as through export promotion in developing countries such as India, if capital and foreign exchange constraints are not binding. Import substitution, however, does not turn out to be as effective a strategy to achieve these goals.     

Crime and economic growth: A case study of Manaus,Brazil

Brazil became the seventh largest economy in the world in 2012. In the same year, the country was responsible for 13% of all worldwide murders. Despite the economic advances, crime is increasing over time in the country. This study explores the impact of organized crime on local economies, focusing on the case of Manaus, Brazil, and the emergence of the criminal group Família do Norte (FDN). We employ a synthetic control method to analyze the economic effects of the FDN's presence in Manaus. The findings reveal a significant negative impact on the city's economic growth and prosperity, with Manaus experiencing a 2% per year lower GDP per capita compared to what it would have been without the FDN. Robustness checks confirme this result, showing how organized crime can disrupt the country's economic advances.     

Relating business model innovations and innovation cascades: the case of biotechnology

This article conceptualizes innovation as a process, where the scientific and industrial application of technological knowledge nurtures new routines and institutions, in order to relate changing business model innovations to innovation cascades. Innovation in science-based, high-tech sectors is changing its tempo, from the evolutionary pace of incremental novelties punctuated by occasional radical novelties, to innovation cascades. These cascades involve a long series of interlinked radical innovations, which can be traced through various scientific and technological indicators like patents and publications. Innovation cascades are relevant to industry, because they make the future less predictable. They are particularly interesting because these changes also enable the testing an abundance of new business models. Innovation cascades have a major impact on the number and sustainability of business models and on strategy. Business model innovations are visible not only in the existing organizations that undergo change, but also new organizational models appear. The case of biotechnology after the 1980s is used to illustrate our conceptualization.     

Scenarios on the future of biotechnology

The major areas of research and development in biotechnology are maturing at a rapid rate, and may soon converge with one another. These emerging biotechnology areas range from the development of new medicines and drugs, genetically engineered foods, biologically controlled industrial manufacturing processes, and biologically based computing devices to the creation of new industrial materials and devices based upon biological structures and the use of biotechnology in food production. Each of these research areas carries the potential for strong societal reaction. To explore the potential impact of biotechnology on society, two fundamental drivers that influence societal acceptance of biotechnology are described. First, the extent to which technological integration proceeds may strongly impact the way society uses and perceives biotechnology. Second, the degree to which the public eventually accepts biotechnologically derived products and processes as legitimate and reliable alternatives to current products may shape both market demand and public policy. Taken together, these drivers suggest four discrete alternative scenarios for the future of biotechnology. Implications of these scenarios are discussed.     

Re-assessing the impact of academic performance on salary level and growth: a case study

This study examines the relationship between GPA and salary level and growth using a unique data set of Bryant University graduates in different stages of their careers. This study adds to a divided literature plagued with issues of heterogeneity and omitted variable biases. Results of the empirical analysis suggest that male graduates with higher GPA at graduation have experienced higher salary level and faster salary growth, while GPA has had no significant impact on women’s salary or salary growth.     

Testing Gibrat's legacy: A Bayesian approach to study the growth of firms

Gibrat's law is a referent model of corporate growth dynamics. This paper employs Bayesian panel data methods to test Gibrat's law and its implications. Using a Pharmaceutical Industry Database (1987–1998), we find evidence against Gibrat's law on average, within or across industries. Estimated steady states differ across firms, and firm sizes and growth rates do not converge within the same industry to a common limiting distribution. There is only weak evidence of mean reversion: initial larger firms do not grow relatively slower than smaller firms. Differences in growth rates and in steady state size are persistent and firm-specific, rather than size-specific.     

Impact of initial seeds on the growth of biotechnology startups: evidence from the U.S. and Japan

ABSTRACT

We assess the impact of initial seeds on the long-run growth of biotechnology startups, including the response of the capital market, in the U.S. and Japan. For this purpose, we collected a comprehensive dataset of the matched sample of listed firms from their foundations to the post-IPO period. We find that the quality of initial seeds predicts significantly both the level and the growth rate of the patent stock as well as those of the asset size of the U.S. startups, even controlling for their alliances and acquisitions, while it predicts only the level of the patent stock for the Japanese startups. Furthermore, the asset growth and the patent stock growth in turn account for the market value performances of the U.S. firms much more significantly than those of the Japanese firms. On the other hand, there are only small differences with respect to the time to IPO and the asset growth through the IPO. These results suggest that higher quality of initial seeds significantly enhanced long-run growth of biotechnology startups in the U.S. but not in Japan, and that the differences in fertility of the initial seeds and in efficiency of the capital market could significantly explain the difference.     

Trade liberalization and economic growth: a case study of Iran

We estimate the impact of trade liberalization and physical and human capital accumulation on Iran’s economic growth during the period 1959?2007. Using co-integration techniques and a vector error correction model, we find a unique long-run relationship between economic growth and its major determinants. These determinants include the physical and human capital stock, the labor force, real non-oil exports, and import tariffs. In addition, the short-term error correction dynamics analysis suggests that trade liberalization has a significant long run positive role in dynamic of growth. Our results support the view that the integration of the Iranian economy with the world economy is undoubtedly welfare improving.     

A Monte Carlo study of growth regressions

Using Monte Carlo simulations, this paper evaluates the bias properties of estimators commonly used to estimate growth regressions derived from the Solow model. We explicitly allow for measurement error, country-specific fixed effects and regressor endogeneity. An OLS estimator applied to a single cross-section of variables averaged over time (the between estimator) performs best in terms of the extent of bias on each of the estimated coefficients. Fixed-effects and the Arellano–Bond GMM estimator overstate the speed of convergence under a wide variety of assumptions, while the between estimator understates it. Finally, fixed effects and Arellano–Bond bias towards zero the slope estimates on the human and physical capital accumulation variables, while the between estimator and the Blundell–Bond system GMM estimator bias these coefficients upwards.      

Fundamental obstacles to the use of scientific information in public policy making

In contrast to the prevailing view that more effective use can be made of scientific information in public policy formation, several fundamental obstacles to the effective use of science are identified and described. It is argued that any effort to bring scientific information to bear on public policy must show how these obstacles have been removed.     

A case study of long-term Delphi accuracy

We evaluated the long-term accuracy of predictions from a Delphic poll of the future of the mental health profession [1]. Six hundred participants provided predictions about the likely occurrence and probable time courses for 18 scenarios that could possibly have occurred over the 30-year interval between 1981 to present. Each of the panelists was polled twice with distributional feedback from the first poll provided on the second poll questionnaires. The data from the second polling was used to make predictions regarding the future of various issues that may have affected the mental health profession over the forecast interval. It has now been 30 years since the original poll was conducted; the purpose of this study was to evaluate the accuracy of the original group predictions. Results indicated that the Delphi panelists correctly predicted the occurrence of 14/18 scenarios. For those scenarios that did occur, the time course predictions were accurate within approximately 1-5 years.     

A study on the tourism practitioners perception of tourism impact a case study of Hainan, China

This study examines the urban population of tourism practitioners'perceptions of economic,environmental,and social impacts on cultural,convention,and sport tourism may have in Haikou and Sanya,Hainan,China the study uses a modified Urban Tourism Impact (UTI) to examine economic,environmental and social perceived impacts.Analysis of the data includes testing three models of structural relationships between tourism impacts and support for development in each of the tourism market sub-divisions through a confirmatory factor analysis.The results of this study show that the positive economic impacts consistently exert influence on predicting support for tourism development in all three models.However,the social impacts play a greater explanatory role with all three market segment,the negative environmental impacts play a role in determining support for .sport tourism only.Dif ferences have been found with those with a higher education level in predictmg support for cultural tourism,but not Convention or sport tourism.     

Productivity dispersion: A case study

This paper studies productivity dispersion in a retail chain. We find that productivity is highly dispersed between the branches. Furthermore, productivity rankings are quite persistent. Accounting for employee skills and human resource management decreases the productivity dispersion only slightly. The results suggest that productivity dispersion is “real”.     

在我国药品定价中应用药物经济学评价的技术性障碍分析

目的:探讨在我国药品定价中应用药物经济学评价方法的技术性障碍。方法:根据卫生经济学和药物经济学理论,采用理论推导和论证的方法。结果:我国的药物经济学评价方法在许多环节上尚不成熟和完善,存在许多技术性障碍,需要进行有效改进,增加可操作性和可信度,才能获得有效的应用。     

Information in the hiring process: A case study

A variety of theoretical models have been concerned with the extent to which economic agents base their decisions on full information. This paper describes the stages of the hiring process for secretaries in a large conglomerate, the information sources used at each stage, and then estimates the relative importance of each source. Almost all applicants are interviewed when they apply and the interviewer's comments are a significant source of information. But in spite of the firm's use of complex information, it appears that the people hired are not likely to do well than those applicants not hired.