Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

scholarly journals Rainfall and self-selection patterns in Mexico-US migration

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Shan Li
Keyword(s):  
Self Selection ◽  
Migration History ◽  
History Of ◽  
Migration Flows ◽  
And Migration ◽  
Migration Costs ◽  
The Relationship ◽  
The Empirical Analysis ◽  
Different Levels

AbstractThis article studies the role of rainfall in determining the education composition of Mexico-US migration. Emphasizing the relationship between rainfall and migration costs, a revised Roy model indicates that rainfall affects selection on education through not only households’ liquidity constraints but also the comparisons between changes in migration costs and wage differentials at different levels of education. With retrospective data on the migration history of male Mexicans, the empirical analysis shows that the inverted U-shaped relationship between migration probabilities and education is less dispersed with a higher vertex when rainfall decreases, suggesting higher migration costs and reinforced self-selection patterns. The impacts of rainfall on selection and education are stronger for the migrant stock than for migration flows. Studying how rainfall influences migrants’ return decisions provides consistent results.

Tourism and migration: Identifying the channels with gravity models

2020 ◽  
pp. 135481662097259
Author(s):  
Maria Santana-Gallego ◽  
Jordi Paniagua
Keyword(s):  
Gravity Models ◽  
Travel Costs ◽  
Visiting Friends And Relatives ◽  
Multilateral Resistance ◽  
And Migration ◽  
The Impact ◽  
Tourism Flows ◽  
The Relationship ◽  
The Empirical Analysis

As a result of the role played by migrants in supporting host economies, the interest in understanding the impact of migration is growing. However, the literature remains silent on the channels by which migration affects tourism. The present article aims to isolate the effect of migrant networks on tourism by exploring the role of information, travel costs, and demand for visiting friends and relatives. To this end, a theoretical framework that rests upon a structural gravity model is developed. The model allows not only a better understanding of the relationship between tourism and migration but also to overcome several empirical biases like the omission of multilateral resistance in tourism flows or controlling for endogeneity. The empirical analysis considered a sample of 34 OECD countries as destination/home and 157 origin/countries-of-birth for tourist arrivals/migration stock. A positive and robust effect of migration on inbound tourism is estimated and the three channels proposed to drive this nexus become relevant.

scholarly journals Online Reviews and Product Sales: The Role of Review Visibility

2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada
Keyword(s):  
Decision Making ◽  
Dynamic Models ◽  
Generalized Method Of Moments ◽  
Online Reviews ◽  
Consumer Decision Making ◽  
Product Sales ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.

Could Be % MMEF and sGaw Determinant Diagnostic Parameters Between Partial Reversibility and Reversibility in Evaluating Short-Acting Bronchodilator Response?

2021 ◽  
Author(s):  
Gökhan Erdoğan ◽  
Elif Altuğ ◽  
Sacide Rana Işık ◽  
Levent Tabak
Keyword(s):  
Independent Predictor ◽  
Binary Logistic Regression ◽  
Threshold Value ◽  
Test Results ◽  
Binary Logistic Regression Model ◽  
Bronchodilator Response ◽  
Significant Difference ◽  
Post Hoc ◽  
The Relationship ◽  
Airway Conductance

INTRODUCTION: By examining the relationship between changes in maximum mild-expiratory flow( MMEF) and specific airway conductance(sGaw), parameters with the change in FEV1 when evaluating the spirometer test and the bronchodilator response, we investigated their diagnostic contribution to the bronchodilator response in those with partial responses to FEV1. METHODS: The retrospective study sample consists of data from 112 patients between Jun 1, 2019, and Feb 1, 2020 who applied to the pulmonary function laboratory with a pre-diagnosis of bronchial hyperreactivity as well as body plethysmography test performed together with the reversibility test. RESULTS: MMEF% and ▲sGaw were linearly correlated with ▲FEV1 (respectively r = 0.752; p <0.001, r = 0.611; p <0.001). While there was a significant difference between ▲MMEF% and ▲sGaw between reversible, partially reversible, and irreversible groups (P <0.001), there was no significant difference in ▲sGaw between partial reversible and reversible groups in post-hoc comparisons (P> 0.05). In the binary logistic regression model created between the partially reversible and reversible groups, demographic characteristics, MMEF% and ▲sGaw variables, ▲MMEF was an independent predictor [OR: 1.132; 95% CI (1.036-1.238), p = 0.006]. The 24% threshold for absolute reversibility or partial reversibility calculated with MMEF% was significant, indicating significance at 86.2% sensitivity and 80.8% specificity (AUC: 0.811, 95% CI: 0.686-0.936; p <0.001). This value we found defined 81% of the partially reversible group as reversible. DISCUSSION AND CONCLUSION: We observed that ▲sGaw alone didn' have a determinant contribution for determining reversibility in bronchodilator response, which showed partial reversibility with respect to FEV1 change. We believe that ▲MMEF% can be an independent predictor between these two groups and the calculated threshold value of 24% can be used as a criterion for determining the reversibility in cases where FEV1 is not determinant.

Deciphering Links Between Sexual Violence and Castes in India

2021 ◽  
pp. 2455328X2110325
Author(s):  
Yogendra Musahar
Keyword(s):  
Regression Model ◽  
Sexual Violence ◽  
Economic Status ◽  
Family Health ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Explanatory Variables

The recent incident, the gang rape and murder of a 19-year-old woman in Hathras, a small village in Uttar Pradesh of India, once again sparks a debate on links between sexual violence and castes in India. This article aims to examine the links between sexual violence and castes in India. This study utilizes the national representative National Family Health Survey 4 (NFHS-4, 2015–16) data. A bivariate analysis was carried out to analyse the data. A binary logistic regression model was applied to predict the effect of explanatory variables, viz. type of place of residence, years of schooling complete, economic status in terms of wealth index and finally castes on predicted variable, i.e. sexual violence. The binary regression model indicates that there were links between sexual violence and castes. For secured and dignified life of women, caste-based sexual violence must be annihilated.

scholarly journals The Relationship between Non-audit Services and Auditor Independence: Evidence from Chinese Listed Companies

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Xiaobo Hao
Keyword(s):  
Rapid Development ◽  
Binary Logistic Regression ◽  
Listed Companies ◽  
Auditor Independence ◽  
Binary Logistic Regression Model ◽  
Western Countries ◽  
Chinese Listed Companies ◽  
Independent Variable ◽  
The Relationship ◽  
Non Audit Services

The rapid development of non-audit services (NAS) has jeopardized the independence of auditors, which has led many Western countries to enact regulations that restrict the provision of NAS. While in China, NAS have just emerged, and its development in China is far less mature than in Western countries. The purpose of this paper is to explore whether NAS in China have damaged auditor independence and whether Chinese regulators need to emulate Western countries and strongly limit the provision of NAS. In order to achieve this objective, 213 Chinese listed companies are selected in this study. The audit opinions issued by the auditors are used as substitute variables for auditor independence (dependent variables), and the ratio of non-audit service fees to the total of audit service fees and non-audit service fees as a substitute variable for the provision of NAS (independent variable), and meanwhile some suitable control variables are also selected. Analyse these data by building a binary logistic regression model. The results show that there is no evidence in China that NAS can undermine auditor independence and there is no need for China to enact regulations to prohibit the provision of NAS.

The Role of Slave Markets in Migration from the Near East to Rome

Klio ◽  
2016 ◽  
Vol 98 (1) ◽  
Author(s):  
Morris Silver
Keyword(s):  
Near East ◽  
Credit Constraints ◽  
Archaeological Evidence ◽  
Labor Power ◽  
Economic Advancement ◽  
Greek East ◽  
And Migration ◽  
Positive Light

SummaryThis paper begins with a brief review of evidence for migration to the relatively affluent city of Rome during the earlier Empire. Then it is suggested that most slaves coming to Rome at this time originated in the Greek East and that these slaves were volunteers not forcible captives. Slavery by contract made it possible for individuals to overcome credit constraints limiting their ability to borrow to finance training and migration. This view is tested by examining literary, epigraphic and archaeological evidence to decide whether slave markets in the Greek East (at Acmonia, Ephesus, Magnesia on Meander, Thyatira and Delos) and in Rome itself were suitable for processing „dangerous merchandise“ (= forcible captives). The totality of the evidence suggests they were not. Near Easterners conveyed through local and Roman slave markets were probably willing self-sellers seeking economic advancement. A new, positive, light is cast on the role of slave dealers who profited from reallocating labor power from less to more productive uses.

The role of sustainability in the relationship between migration and smart cities: a bibliometric review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Mohamad Mouazen ◽  
Ana Beatriz Hernández-Lara
Keyword(s):  
State Of The Art ◽  
Smart Cities ◽  
Developed Countries ◽  
The State ◽  
Social Dimension ◽  
Content Type ◽  
Bibliometric Review ◽  
And Migration ◽  
The Relationship

Purpose Smart cities attract efficient and profitable economic activities, contribute to the societal welfare of their citizens and foster the efficient use and conservation of natural resources. Developing smart cities has become a priority for many developed countries, but as they are preferred destinations for migrants, this raises sustainability issues. They attract people who are seeking a better quality of life, smart services and solutions, a better environment and business activities. The purpose of this paper is to review the state of the art on the relationship between smart cities and migration, with a view to determining sustainability. Design/methodology/approach A bibliometric review and text mining analyses were conducted on publications between 2000 and 2019. Findings The results determined the main parameters of this research topic in terms of its growth, top journals and articles. The role of sustainability in the relationship between smart cities and migration is also identified, highlighting the special interest of its social dimension. Originality/value A bibliometric approach has not been used previously to investigate the link between smart cities and migration. However, given the current relevance of both phenomena, their emergence and growth, this approach is appropriate in determining the state of the art and its main descriptors, with special emphasis on the sustainability implications.

Human pregnancy: the role of chemokine networks at the fetal–maternal interface

2004 ◽  
Vol 6 (11) ◽  
pp. 1-14 ◽  
Author(s):  
Kristy Red-Horse ◽  
Penelope M. Drake ◽  
Susan J. Fisher
Keyword(s):  
Chemokine Receptors ◽  
Immune Cell ◽  
Leukocyte Trafficking ◽  
Placental Development ◽  
Effector Cells ◽  
Chemokine Expression ◽  
Multifunctional Molecules ◽  
And Migration ◽  
The Relationship

Chemokines are multifunctional molecules initially described as having a role in leukocyte trafficking and later found to participate in developmental processes such as differentiation and directed migration. Similar events occur in pregnancy during development of the fetal–maternal interface, where there is extensive leukocyte trafficking and tissue morphogenesis, and this is accompanied by abundant chemokine expression. The relationship between chemokines, leukocytes and placental development is beginning to be delineated. During pregnancy a specialised population of maternal leukocytes infiltrates the implantation site. These leukocytes are thought to sustain the delicate balance between protecting the developing embryo/fetus and tolerating its hemiallogeneic tissues. A network of chemokine expression by both fetal and maternal components in the pregnant uterus functions in establishing this leukocyte population. Intriguingly, experiments investigating immune cell recruitment revealed the additional possibility that chemokines influence aspects of placental development. Specifically, cytotrophoblasts, the effector cells of the placenta, express chemokine receptors that can bind ligands found at key locations, implicating chemokines as regulators of cytotrophoblast differentiation and migration. Thus, as in other systems, at the fetal–maternal interface chemokines might regulate multiple functions.

scholarly journals Interpreting Aggregate Wage Growth: The Role of Labor Market Participation

2003 ◽  
Vol 93 (4) ◽  
pp. 1114-1131 ◽  
Author(s):  
Richard Blundell ◽  
Howard Reed ◽  
Thomas M Stoker
Keyword(s):  
Working Hours ◽  
Recent Experience ◽  
Labor Market Participation ◽  
Close Correspondence ◽  
Real Wages ◽  
Compositional Changes ◽  
The Relationship ◽  
The Empirical Analysis ◽  
Bias Terms

A new and easily implementable framework for the empirical analysis of the relationship between aggregate and individual wages is developed. Aggregate real wages are shown to contain three important bias terms: one associated with the dispersion of individual wages, a second deriving from compositional changes in the (selected) sample of workers, and a third reflecting the distribution of working hours. Their importance for interpreting the path of aggregate wages and of the returns to education for recent experience in Britain is highlighted. A close correspondence between the estimated biases and the patterns of differences shown by aggregate wages is established.

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