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This study aims to elucidate the quantitative and qualitative differences in employment development between German districts. Building on ideas from competitive development and resource-based theory, the paper particularly seeks to explain enduring East-West differences between rural regions by two different forms of competitive advantage: cost leadership and quality differentiation.

This study follows a two-step empirical approach: First, an extended shift-share regression is conducted to analyze employment development in Western and Eastern German districts between 2007 and 2016. Second, the competitive share effect and other individual terms of the shift-share model are further examined in additional regressions using regional economic characteristics as exogenous variables.

The findings suggest that the above-average employment growth of the rural districts in the West is owed to the successful exploitation of experience in manufacturing that has been gathered by firms in the past 100 years or so. While their strategy is largely based on advanced and specialized resources and an innovation-driven differentiation strategy, the relatively weak employment development of Eastern rural districts might be explained by a lack of comparable long-term experiences and the related need to focus on the exploitation of basic and general resources and, accordingly, on the efficiency-based strategy of cost leadership.

This study offers an in-depth empirical analysis of how the competitive share effect, i.e. region-specific resources beyond industry structure, contributes to regional employment development. The analysis reveals that quantitative differences in rural employment development are closely related to qualitatively different levels of input factors and different regimes of competitiveness.

Motivated by a lack of evidence regarding the effect of migration on entrepreneurship in a highly informal country, such as Colombia, this paper has a twofold purpose. First, it explores how Venezuelan immigration affects entrepreneurial activity in Colombian regions. Second, it intends to shed light on this relationship, by distinguishing between formal and informal sectors.

With a sample of 1,776,063 individuals, from the Labor Survey Gran Encuesta Integrada de Hogares (GEIH) from the Departamento Administrativo Nacional de Estadística (DANE), the authors employ an instrumental variable approach to account for the selection of immigrants into locations with more or less desirable conditions.

The results suggest Venezuelan immigration positively influences self-employment and own-account workers, but negatively affects employers. However, once these immigrants proliferate in the informal sector, the effects increase.

This paper brings new insights into the intersection between immigration, unofficial economies, and entrepreneurship. First, while the prior literature focuses on migration from developing to developed countries, migratory flows between developing economies and its effects on local entrepreneurial activity remain unexplored. Second, although informality is mostly common in developing countries, little (albeit growing) evidence of its role in the relationship between migration and entrepreneurship research exists. Finally, the authors bring together these two phenomena to enhance our understanding of different types of entrepreneurial activities when immigration and informality take place. Policy implications are derived from these insights.

The purpose of this paper is to first develop indicators for how total inequality, measured through the ANalysis Of GIni (ANOGI) framework, is mapped onto each group – i.e. indicators for each group's share of total inequality. Second, to develop indicators for the sensitivity of total inequality and its structure to changes in the composition of the population. Specifically, to develop indicators for how the Gini index and its ANOGI components react to (1) changes in the population-share of each group, (2) migration between groups, (3) changes in group incomes and (4) income transfers between groups.

First, the expressions for these indicators are derived analytically. Following this, the indicators are applied to labour-market data from Brazil, contrasting the results to others available in the literature.

The indicators described above are presented and their characteristics discussed. Empirically, it is illustrated how labour formalisation in Brazil was an inequality-reducing process between 2002 and 2011, contrary to previous incorrect measurements of the phenomenon based on income-source decompositions for Latin American countries.

Indicators for how total inequality reacts to changes in group sizes and income were unavailable for the ANOGI framework, which this article provides. The empirical illustration shows how this leads to a reassessment of important inequality dynamics, using the example of labour formalisation in Brazil. Contrary to the existing literature, it is shown how this was a progressive development, with key implications for social and labour-market policy. This framework can be used to assess the impact of diverse processes in the ANOGI methodology.

The paper aims to build the relationship between an entire function of restricted hyper-order with its linear c-shift operator.

Standard methodology for papers in difference and shift operators and value distribution theory have been used.

The relation between an entire function of restricted hyper-order with its linear c-shift operator was found under the periphery of sharing a set of two small functions IM (ignoring multiplicities) when exponent of convergence of zeros is strictly less than its order. This research work is an improvement and extension of two previous papers.

This is an original research work.

Even though every decision a leader makes carries an element of risk, no review on the topic of leadership and risk has appeared in highly-ranked management journals in the past 20 years. This is in contrast to the discipline of psychology in which leadership and risk receives considerable attention, particularly in the field of heroism studies. In the context of the established body of research on the topic of leadership and risk in the discipline of psychology, this review therefore explores the research on leadership and risk in highly-ranked management studies’ journals.

The review was conducted in five stages. During phase 1, journal rankings were used as basis to determine which highly-ranked journals to include in the review. Phase 2 focused on identifying all relevant articles in the journals included in our review. We searched for articles published from 2000 to 2021 with the words “risk” or “danger” and “leader” or “leadership” in their abstracts. In phase 3, the author analysed the abstracts of the articles in depth to determine whether the keywords were included on the basis of an explicit scholarly reflection or research on leadership and risk. Phase 4 focused on analysing articles' treatment of leadership and risk, and assigning key words and key phrases. Finally, during phase 5 key words and key phrases were clustered together thematically.

This study analysis yielded six thematic clusters. The first two clusters – on risk appetite of followers and leaders – are closely related. In total, 12 journal articles explored these themes. The remaining thematic clusters contain four and seven articles each. These clusters are risk, creativity and innovation; risk and failure; risk in dangerous contexts; and risk and gender. Nine of the selected articles did not fit in any of the thematic clusters.

The review reveals a significant lack of research on leadership and risk in highly-ranked management studies’ journals. The author found that the topic of leadership and risk is approached in a binary fashion: successful leaders are viewed as using risk to drive innovation and unsuccessful leaders fail because of risk. The author argues that the heroic bias in leadership research could be partly blamed for this binarism. In practical terms, the author highlights that the growing importance of chief risk officers – leaders appointed to deal with company risk – indicates a clear need for research on leadership and risk in general management studies’ journals.

Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.

This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.

The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.

Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.

The concept of ‘multi-port gateway region’ has been introduced by Notteboom (2010) and has been applied to important seaport markets such as Europe and Asia. However, the dynamics and port development patterns in secondary multi-port gateway regions, such as the Black Sea region, have received far less attention in academic literature. An empirical application of established spatial and functional development models to such secondary port regions might substantiate the external validity of these models as these ports operate in a different spatial, economic and institutional environment.

The aim of the paper is to characterize the spatial dynamics of container ports of the Black Sea multi-port gateway regions by testing the validity of established spatial models on port system development. Furthermore, the expected future evolution path for port hierarchy in the Black Sea basin is discussed. By doing so, the paper assesses to what extent the Black Sea port region is following an ‘expected’ development path as portrayed in a number of port system development models, or alternatively, can be characterized as an atypical port system following its own development logic.

The purpose of this paper is to examine the health sector reform toward 2040 of Japan as a super-aged society.

This paper discusses the current healthcare policies adopted in Japan and projects the challenges in future as a super-aged society.

Through Japanese experiences, it is considered that Community-based Integrated Care System is useful, which takes into account the perspective of health care users. Being a super-aged society, it is essential for Japan to have more consensus by further removing obstacles, and paying attention to the change of paradigm and the purpose of care.

Based on the case of Japan, this paper serves as a reference for other East Asian countries, which would sooner or later encounter the similar situation of becoming super-aged societies in the 21^st century.

The purpose of this study is to explore the causal relationship between smart transportation technology innovation and green transportation efficiency.

A comprehensive framework is used in this paper to assess the level of green transportation efficiency in China based on the instrumental variable – generalized method of moments model, followed by an examination of the impact of innovation in smart transportation technology on green transportation efficiency. Additionally, their non-linear relationship is explored, as are their important moderating and mediating effects.

The findings indicate that, first, the efficiency of green transportation is significantly enhanced by innovation in smart transportation technology, which means that investing in such technologies contributes to improving green transportation efficiency. Second, in areas where green transportation efficiency is initially low, smart transportation technology innovation exerts a particularly potent influence in driving green transportation efficiency, which underscores the pivotal role of such innovation in bolstering efficiency when it is lacking. Third, the relationship between smart transportation technology innovation and green transportation efficiency is moderated by information and communication technology, and the influence of smart transportation technology innovation on green transportation efficiency is realized through an increase in energy efficiency and carbon emissions efficiency.

Advancing green transportation is essential in establishing a low-carbon trajectory within the transportation sector.

The main aim of the study was to measure and assess the efficiency of the healthcare system in Poland.

An output-oriented Data Envelopment Analysis model with a 2-years window analysis extension was used between 2013 and 2018. The analysis was completed with a determination of the sources of productivity changes (between the first and last year of the study period) and factors that influence efficiency.

Efficient regions have been identified and the spatial diversity in their efficiency was confirmed. The study identified individual efficiency trends together with “all-windows” best and worst performers. Using panel modeling, it was confirmed that the efficiency of health protection is influenced by, among others, accreditation certificates, the length of the waiting list or the number of medical personnel.

Although the analysis was conducted at the voivodeship level (NUTS2), which was fully justified, it would be equally important to analyze data with a lower aggregation level. It would be extremely valuable from the perspective of difficulties faced by the healthcare system in Poland.

The identification of areas and problems affecting the efficiency of the healthcare system in Poland may also be a hint for other countries with similar system solutions that also struggle with the same problems.

The paper explains the efficiency of the country's healthcare system while also paying attention to changes in its level, factors influencing it, spatial diversity and impact on the sector functioning.