“…However, an important deficiency of the existing studies so far has been the assumption that the effect of entrepreneurship on institutional quality is homogenous across different countries (Litschka & Pellegrini, 2019). In this sense, almost all, if not all earlier studies estimate the average effect of institutional quality on the basis of entrepreneurial activity.…”
The phenomenon of entrepreneurship has driven much of the attention of academics, practitioners and policy makers. A correct and deep understanding of all the different conditions affecting entrepreneurship rates will advance in the establishment of useful measures that increase entrepreneurial success. The vast majority of the literature on the effect of institutional quality on entrepreneurship has been investigated based on average effects. However, how the impact of institutional quality on the level of entrepreneurship varies with the conditional distribution of entrepreneurship is still poorly understood. The present study attempts to fill the research gaps in this field. In order to examine the impact of institutional quality on entrepreneurship at different entrepreneurship levels, the fuzzy set Qualitative Comparative Analysis (fsQCA) approach is employed. Results show that entrepreneurial success is determined by the combination of the following conditions of institutional quality: voice accountability, political stability, regulatory quality and rule of law.Implications and future research directions are discussed. It would be interesting to analyze the motivation to become an entrepreneur, both theoretically and empirically, differentiating between opportunity and necessity entrepreneurship.
“…However, an important deficiency of the existing studies so far has been the assumption that the effect of entrepreneurship on institutional quality is homogenous across different countries (Litschka & Pellegrini, 2019). In this sense, almost all, if not all earlier studies estimate the average effect of institutional quality on the basis of entrepreneurial activity.…”
The phenomenon of entrepreneurship has driven much of the attention of academics, practitioners and policy makers. A correct and deep understanding of all the different conditions affecting entrepreneurship rates will advance in the establishment of useful measures that increase entrepreneurial success. The vast majority of the literature on the effect of institutional quality on entrepreneurship has been investigated based on average effects. However, how the impact of institutional quality on the level of entrepreneurship varies with the conditional distribution of entrepreneurship is still poorly understood. The present study attempts to fill the research gaps in this field. In order to examine the impact of institutional quality on entrepreneurship at different entrepreneurship levels, the fuzzy set Qualitative Comparative Analysis (fsQCA) approach is employed. Results show that entrepreneurial success is determined by the combination of the following conditions of institutional quality: voice accountability, political stability, regulatory quality and rule of law.Implications and future research directions are discussed. It would be interesting to analyze the motivation to become an entrepreneur, both theoretically and empirically, differentiating between opportunity and necessity entrepreneurship.
“…Experts point to AR4D network tightening and growing institutional convergence to bring biotechnology research together due to the high cost of producing biological and genetic resources (creating world banks and collections of mutants, bacterial, etc.). At the same time, the conditions of international cooperation are not always equally beneficial for all participants (due to differences in public and private sector capacities), leading to benefits of strategic use of IPR, especially for developing countries (Litschka and Pellegrini., 2019;Ren et al, 2017). All mentioned factors lead to a number of the controversies in the development of intellectual property relations in an agrarian economy (which were investigated deeply by (Lytvynchuk, 2017), notably, between "expanding the application of intellectual property rights" and "enhancing the riskogenics of intellectual property relations"; between "commodification of biological and genetic resources" and "development of social initiatives against the monopolistic and oligopolistic expansion" in the field; between "unification of intellectual property legal standards" and "rigidity of a global system"; between "strengthening of control over intellectual property rights infringements" and "advancement of grey practices") (IP in Europe, 2020; IP5 statistic reports, 2020).…”
The paper attempts to define the trends of the intellectual property (ІР) management in the framework of an agrarian economy. The object of the investigation are the controversies of intellectual property relations in the systems of agricultural research for development (AR4D-systems) that testify to the difficulties in ІР management. Taking into account a global trend of changing the correlation of private and public interests to the benefit of the latter in terms of managing intellectual property in AR4D-systems, the paper aims to develop a comprehensive model of intellectual property public management (that guarantees fair balance of interests) and to clarify how to evaluate the integral efficiency of such model. The theoretical basis of the study were existing analytical investigations of the intellectual property policies (conventional policy standard; open innovation policy; mixed policies of combining intellectual property rights regimes). The main obtained result of the study is a general concept of the comprehensive model of intellectual property public management for the AR4D systems based on 5 managing clusters. The integral efficiency monitoring of the proposed model was tested on the example of Ukraine with the help of the methods of multicriteria optimization of the vector criterion. The results show that the integral efficiency of the Ukrainian model is higher than average, but it can be increased by improving the tools of the information and communication support cluster and the cluster of organizational and technical assistance and capacity building such as the availability of the mobilization fund, the availability of the specialized electronic credit and investment platforms, the level of awareness of the users, the number of users of the system's electronic services. The practical value of the obtained results is their strategic impact on a sustainable development policy.
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