scholarly journals Global fintech entrepreneurship and its influencing factors: An evolutionary economic analysis

2021 ◽  
Vol 11 (1) ◽  
pp. 61-79
Author(s):  
Thomas Holtfort ◽  
Andreas Horsch ◽  
Joachim Schwarz
Keyword(s):  
Financial Markets ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Point Of View ◽  
Future Market ◽  
Statistical Relevance ◽  
The Empirical Analysis ◽  
Data Period ◽  
Evolutionary Point ◽  
Different Levels

Fintech entrepreneurship has already influenced financial markets and their players worldwide in a disruptive, but also a risky way (Thakor, 2020; Zeranski & Sancak, 2020). In this context, it seems worthwhile to analyze which factors drive the design and development of global fintech entrepreneurship. Thus, the paper takes fintech-related research a step further by exploring the drivers of fintech evolution in different countries and continents that display different levels of fintech activity. For this purpose, first economic, technological, legal, and cultural factors influencing the development of fintech entrepreneurship are examined from an evolutionary point of view, and second, a generalized linear mixed model is used in order to evaluate the statistical relevance of these factors on fintech entrepreneurship more comprehensively. The analyzed data period from 2000 to 2017 also makes it possible to assess the influence of the dot.com bubble and the financial crisis on fintech entrepreneurship. The results of the empirical analysis suggest that the gross domestic product (GDP), regulatory burden, government tech procurement and the degree of individualism are important drivers of fintech startup activity. These findings help gauge the present and future market position of fintechs, leading to implications for entrepreneurs, competitors, and regulators alike.

scholarly journals A heuristic method to identify runs of homozygosity associated with reduced performance in livestock

2017 ◽  
Author(s):  
J.T. Howard ◽  
F. Tiezzi ◽  
Y. Huang ◽  
K.A. Gray ◽  
C. Maltecca
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Regression Coefficient ◽  
Heuristic Method ◽  
Simulated Data ◽  
Real Data ◽  
Runs Of Homozygosity ◽  
Genome Wide ◽  
Performance Results ◽  
Different Levels

ABSTRACTWhile for the most part genome-wide metrics are currently employed in managing livestock inbreeding, genomic data offer, in principle, the ability to identify functional inbreeding. Here we present a heuristic method to identify haplotypes contained within a run of homozygosity (ROH) associated with reduced performance. Results are presented for simulated and swine data. The algorithm comprises 3 steps. Step 1 scans the genome based on marker windows of decreasing size and identifies ROH genotypes associated with an unfavorable phenotype. Within this stage, multiple aggregation steps reduce the haplotype to the smallest possible length. In step 2, the resulting regions are formally tested for significance with the use of a linear mixed model. Lastly, step 3 removes nested windows. The effect of the unfavorable haplotypes identified and their associated haplotype probabilities for a progeny of a given mating pair or an individual can be used to generate an inbreeding load matrix (ILM). Diagonals of ILM characterize the functional inbreeding load of individual (IIL). We estimated the accuracy of predicting the phenotype based on ILL. We further compared the significance of the regression coefficient for IIL on phenotypes to genome-wide inbreeding metrics. We tested the algorithm using simulated scenarios (n =12) combining different levels of linkage disequilibrium (LD) and number of loci impacting a quantitative trait. Additionally, we investigated 9 traits from two maternal purebred swine lines. In simulated data, as the LD in the population increased the algorithm identified a greater proportion of the true unfavorable ROH effects. For example, the proportion of highly unfavorable true ROH effects identified raised from 32 to 41 % for the low to the high LD scenario. In both simulated and real data the haplotypes identified were contained within a much larger ROH (9.12-12.1 Mb). The IIL prediction accuracy was greater than zero across all scenarios for simulated data (high LD scenario mean (95% confidence interval): 0.49 (0.47-0.52)) and for nearly all swine traits (mean ± SD: 0.17±0.10). On average across simulated and swine datasets the IIL regression coefficient was more closely related to progeny performance than any genome-wide inbreeding metric. A heuristic method was developed that identified ROH genotypes with reduced performance and characterized the combined effects of ROH genotypes within and across individuals.

scholarly journals Globalna nierównowaga finansowa we współczesnej gospodarce światowej

2018 ◽  
Vol 18(33) (1) ◽  
pp. 149-158
Author(s):  
Piotr Misztal
Keyword(s):  
Foreign Language ◽  
Financial Markets ◽  
International Finance ◽  
Current Account ◽  
Point Of View ◽  
Production Factors ◽  
Polish Language ◽  
Current Account Imbalances ◽  
Main Determinants ◽  
Different Levels

The aim of this article is to assess the scale of global financial imbalance in countries with different levels of economic development, and to identify the main determinants of this phenomenon. In the paper, a research method based on literature studies in the field of international finance and international economics is used. In particular, rich foreign-language literature and Polish-language publications related to the analyzed subject were used. All statistical data used in the work comes from the International Monetary Fund's statistical database. Based on the literature, it has been found that the most important determinants of this phenomenon are surplus of global savings, mercantilism in East Asia and disturbances in international financial markets. The results of these studies have great importance, in particular from a macroeconomic point of view, as rising surpluses or current account deficits cause chronic surpluses or deficits in national budgets through the so-called twin deficits effect. In addition, current account imbalances affect the international competitive position of economies, prices of goods, services, currencies and production factors.

scholarly journals Modeling determinants of anemia among pre-school children in Ethiopia: application of marginal and subject-specific models

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Ashenafi Abebe Gaenemo ◽  
Nebiyu Dereje Abebe ◽  
Kebede Alemu Eliso
Keyword(s):  
School Children ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Research Question ◽  
Correlated Data ◽  
Strongly Correlated ◽  
Disease Clustering ◽  
Subject Specific ◽  
Alternating Logistic Regression ◽  
Different Levels

Anemia is a chronic disease that seriously affects young children and pregnant women. Knowledge of disease clustering is important because it may provide insights into the etiology of disease and risk factors operating within different levels of the clusters. In this study, we tried to identify determinants of anemia among pre-school children aged 6-59 months in the 11 regions of Ethiopia, with higher probability of occurrence of these determinant factors would be inferred to be most likely to experience anemia. To answer the objective of the research question, models that handle the complexities of correlated data were employed. Hence, both marginal and subject-specific models are employed. The models used were: Generalized Estimating Equations, Alternating Logistic Regression, Proportional Odds Model and Generalized Linear Mixed Model. Statistical findings revealed that the risk of being anemic reduced with age in girls, while boys showed higher risk. Children in rural were found to be less likely to be anemic. Children in large households were found to be more having a higher risk of anemia. Similarly, malaria occurrence was strongly correlated to anemia

scholarly journals Effects of Weed Control Practices on Plant Diversity in a Homogenous Olive-Dominated Landscape (South-East of Italy)

Plants ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1090
Author(s):  
Massimo Terzi ◽  
Emanuele Barca ◽  
Eugenio Cazzato ◽  
Francesco Saverio D’Amico ◽  
Cesare Lasorella ◽  
...  
Keyword(s):  
Weed Control ◽  
Plant Diversity ◽  
Weed Management ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Floristic Composition ◽  
Life Forms ◽  
Point Of View ◽  
Olive Groves ◽  
The Individual

Olive groves represent an important economic, agro-ecological, and cultural resource in the Mediterranean Basin. Weed management plays a fundamental role in their sustainable management. The aim of this work was to characterize and assess the plant diversity associated with different weed control practices, in a homogeneous olive-dominated landscape in the South-East of Italy. Sixty-five vegetation plots were sampled in orchards treated with different weed control practices: mowing, tillage, and use of chemical herbicides. The multi-response permutation procedure was used to test the hypothesis of no difference among the treatments. The relationships between plots were visualized by means of non-metric multidimensional scaling ordination. A generalized linear mixed model was used to analyze the relationships between weed control practices and life forms, chorotypes, and diversity indexes. The results showed that the three weed control practices determined slightly different plant communities. Chemically weeded orchards showed an impoverished floristic composition and the lowest diversity, whereas mowing and tillage yielded similar values. These latter two treatments differed for the percentages of hemicryptophytes and therophytes. Moreover, different from other studies, we did not find plant species of particular concern for biodiversity conservation. We hypothesize that this result is due to the monotonous structure of the agro-landscape we investigated, where natural elements are almost lacking. From this point of view, a correct management of agro-districts should consider both the agronomic practices at the level of the individual olive groves and the structure of the agro-landscape.

Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.

2020 ◽  
Author(s):  
James L. Peugh ◽  
Sarah J. Beal ◽  
Meghan E. McGrady ◽  
Michael D. Toland ◽  
Constance Mara
Keyword(s):  
Count Data ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Longitudinal Count Data

Predicting bycatch hotspots based on suitable habitat derived from fishery-independent data

2020 ◽  
Vol 641 ◽  
pp. 159-175
Author(s):  
J Runnebaum ◽  
KR Tanaka ◽  
L Guan ◽  
J Cao ◽  
L O’Brien ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Gulf Of Maine ◽  
Homarus Americanus ◽  
Management Tool ◽  
American Lobster ◽  
Suitable Habitat ◽  
Climate Conditions ◽  
Suitability Index

Bycatch remains a global problem in managing sustainable fisheries. A critical aspect of management is understanding the timing and spatial extent of bycatch. Fisheries management often relies on observed bycatch data, which are not always available due to a lack of reporting or observer coverage. Alternatively, analyzing the overlap in suitable habitat for the target and non-target species can provide a spatial management tool to understand where bycatch interactions are likely to occur. Potential bycatch hotspots based on suitable habitat were predicted for cusk Brosme brosme incidentally caught in the Gulf of Maine American lobster Homarus americanus fishery. Data from multiple fisheries-independent surveys were combined in a delta-generalized linear mixed model to generate spatially explicit density estimates for use in an independent habitat suitability index. The habitat suitability indices for American lobster and cusk were then compared to predict potential bycatch hotspot locations. Suitable habitat for American lobster has increased between 1980 and 2013 while suitable habitat for cusk decreased throughout most of the Gulf of Maine, except for Georges Basin and the Great South Channel. The proportion of overlap in suitable habitat varied interannually but decreased slightly in the spring and remained relatively stable in the fall over the time series. As Gulf of Maine temperatures continue to increase, the interactions between American lobster and cusk are predicted to decline as cusk habitat continues to constrict. This framework can contribute to fisheries managers’ understanding of changes in habitat overlap as climate conditions continue to change and alter where bycatch interactions could occur.

A Futures Study on the Quality Of Life from the Point Of View of Iranian Youth

2017 ◽  
Vol 14 (2) ◽  
pp. 1
Author(s):  
Sina Saeedy ◽  
Mojtaba Amiri ◽  
Mohammad Mahdi Zolfagharzadeh ◽  
Mohammad Rahim Eyvazi
Keyword(s):  
Quality Of Life ◽  
Life Satisfaction ◽  
Mixed Model ◽  
Satisfaction With Life ◽  
Point Of View ◽  
Human Society ◽  
Futures Studies ◽  
The Social ◽  
The University

Quality of life and satisfaction with life as tightly interconnected concepts have become of much importance in the urbanism era. No doubt, it is one of the most important goals of every human society to enhance a citizen’s quality of life and to increase their satisfaction with life. However, there are many signs which demonstrate the low level of life satisfaction of Iranian citizens especially among the youth. Thus, considering the temporal concept of life satisfaction, this research aims to make a futures study in this field. Therefore, using a mixed model and employing research methods from futures studies, life satisfaction among the students of the University of Tehran were measured and their views on this subject investigated. Both quantitative and qualitative data were analysed together in order to test the hypotheses and to address the research questions on the youth discontentment with quality of life. Findings showed that the level of life satisfaction among students is relatively low and their image of the future is not positive and not optimistic. These views were elicited and discussed in the social, economic, political, environmental and technological perspectives. Keywords:  futures studies, quality of life, satisfaction with life, youth

Long-term seizure outcomes after pediatric temporal lobectomy: does brain MRI lesion matter?

2019 ◽  
Vol 24 (2) ◽  
pp. 200-208
Author(s):  
Ravindra Arya ◽  
Francesco T. Mangano ◽  
Paul S. Horn ◽  
Sabrina K. Kaul ◽  
Serena K. Kaul ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Hippocampal Sclerosis ◽  
Brain Mri ◽  
Temporal Lobectomy ◽  
Seizure Freedom ◽  
Seizure Onset

OBJECTIVEThere is emerging data that adults with temporal lobe epilepsy (TLE) without a discrete lesion on brain MRI have surgical outcomes comparable to those with hippocampal sclerosis (HS). However, pediatric TLE is different from its adult counterpart. In this study, the authors investigated if the presence of a potentially epileptogenic lesion on presurgical brain MRI influences the long-term seizure outcomes after pediatric temporal lobectomy.METHODSChildren who underwent temporal lobectomy between 2007 and 2015 and had at least 1 year of seizure outcomes data were identified. These were classified into lesional and MRI-negative groups based on whether an epilepsy-protocol brain MRI showed a lesion sufficiently specific to guide surgical decisions. These patients were also categorized into pure TLE and temporal plus epilepsies based on the neurophysiological localization of the seizure-onset zone. Seizure outcomes at each follow-up visit were incorporated into a repeated-measures generalized linear mixed model (GLMM) with MRI status as a grouping variable. Clinical variables were incorporated into GLMM as covariates.RESULTSOne hundred nine patients (44 females) were included, aged 5 to 21 years, and were classified as lesional (73%), MRI negative (27%), pure TLE (56%), and temporal plus (44%). After a mean follow-up of 3.2 years (range 1.2–8.8 years), 66% of the patients were seizure free for ≥ 1 year at last follow-up. GLMM analysis revealed that lesional patients were more likely to be seizure free over the long term compared to MRI-negative patients for the overall cohort (OR 2.58, p < 0.0001) and for temporal plus epilepsies (OR 1.85, p = 0.0052). The effect of MRI lesion was not significant for pure TLE (OR 2.64, p = 0.0635). Concordance of ictal electroencephalography (OR 3.46, p < 0.0001), magnetoencephalography (OR 4.26, p < 0.0001), and later age of seizure onset (OR 1.05, p = 0.0091) were associated with a higher likelihood of seizure freedom. The most common histological findings included cortical dysplasia types 1B and 2A, HS (40% with dual pathology), and tuberous sclerosis.CONCLUSIONSA lesion on presurgical brain MRI is an important determinant of long-term seizure freedom after pediatric temporal lobectomy. Pediatric TLE is heterogeneous regarding etiologies and organization of seizure-onset zones with many patients qualifying for temporal plus nosology. The presence of an MRI lesion determined seizure outcomes in patients with temporal plus epilepsies. However, pure TLE had comparable surgical seizure outcomes for lesional and MRI-negative groups.

Sign in / Sign up

Export Citation Format

Share Document