scholarly journals Factors Affecting the Adaptability of Digitalized mode of Payment among the Small Traders: A Logit Model Analysis

2020 ◽  
Vol 12 (2) ◽  
pp. 103-114
Author(s):  
Polakshi Bhattacharyya Baruah ◽  
◽  
Anupam Dutta ◽  
Keyword(s):  
Logit Model ◽  
Small Enterprises ◽  
Factors Affecting ◽  
Logit Regression ◽  
System A ◽  
The People ◽  
Logit Regression Model ◽  
The Impact ◽  
Small Traders ◽  
New System

Digitalization has gained momentum in recent years in all sphere of life aroundthe globe. It has become an important factor of deÖning modernization, and instrumentalin speeding up economic growth by ensuring more transparency. After demonetization andemphasis on cashless transaction, digitalized mode of payment is being prioritized. Accord-ingly, government of India launched several schemes focusing on imparting training on digitalliteracy, but research shows that a section of population is still not adopting this digitaliza-tion process. This study tries to Önd the factors responsible for excluding a section of thepeople, especially the people of rural and semi urban area from this digitalized system. Ac-cordingly, a survey was conducted with the bamboo craft man of Raipur cluster of BarpetaDistrict of Assam, India, who is involved in small enterprises involving bamboo crafting.Direct interaction was being done with the respondents regarding the various problems andinconvenience faced in adapting the new system. A logit regression model has been usedto highlight the impact of various socio-economics factors, level of awareness about the newsystem of digitalization on their adaptability to the digitalized mode of payment

scholarly journals Factors affecting the decision for routine health checkup: evidence from survey data in Khanh Hoa province

2020 ◽  
Vol 4 (4) ◽  
pp. First
Author(s):  
Phạm Thành Thái ◽  
Võ Chí Nam
Keyword(s):  
Survey Data ◽  
Scientific Method ◽  
Education Level ◽  
Health Checkup ◽  
Factors Affecting ◽  
Logit Regression ◽  
The World ◽  
Main Factors ◽  
Logit Regression Model ◽  
The Impact

Routine health checkup is the simplest and most scientific method for early detection, minimizing harm, and preventing complications of diseases. However, until now, only a fraction of the population is aware of its importance. Studies in the world and in Vietnam show that the proportion of the population having routine health checkups remains modest. Understanding which factors affect the decision to have routine health checkups is important in creating a system and environment that encourage people to have regular health checkups. The study is based on the survey data of 420 people in Khanh Hoa province to identify the main factors affecting their decision of routine health checkups, using the Logit regression model. The results shows that factors affecting decisions on routine health checkups include: education level, occupation, income, age, chronic illness, waiting time, and the impact of cost. The study also determines that gender and marital status have no effect on regular health checkups. The results highlight the importance of taking into consideration the priorities of time and cost when developing policies to encourage regular health checkups in the population.

scholarly journals An analysis of women’s self-help groups’ involvement in microfinance program in India

2019 ◽  
Vol 13 (2) ◽  
pp. 2-11
Author(s):  
Gaurav Joshi
Keyword(s):  
Regression Model ◽  
Family Type ◽  
Content Type ◽  
Logit Regression ◽  
Self Help ◽  
Participation Of Women ◽  
Significant Difference ◽  
Self Help Groups ◽  
Logit Regression Model ◽  
The Impact

Purpose The purpose of this is to classify the social and economic factors which impact the involvement of women in self-help groups (SHGs) for their economic as well as social empowerment. Design/methodology/approach The research has been conducted in Nainital district of Uttarakhand (India) in 2018. Primary data have been gathered from women respondent only on factors relating to the ownership of asset, housing characteristics and other demographic details. Both SHG and non-SHG women members have been chosen as key informants during the survey. Multi-stage purposive and stratified random sampling has been used for the selection of respondents and SHGs. The logit regression model has been formulated to describe the causes that influence the participation of women in SHGs. Also, an empowerment index has been constructed to measure the effect of SHGs on women empowerment. Findings The results show that factors including age, education, family type and distance from the market have a significant impact on the participation of women in SHGs. Also, there is a significant difference in both these values which suggests that the value of the empowerment index gets significantly increased after joining the SHGs. Practical implications Analytically derived factors have been used to develop an empowerment index. Hence, the present research is valuable for marketing practitioners, entrepreneurs and professionals from the development sector who intend to work amongst SHGs, primarily with women. The paper is valuable for academic researchers in this area so that the limited body of knowledge, on the empowerment index, could be developed. Originality/value The present research is unique because the authors did not find work, especially in the context of rural India, in the said area. Factors impacting the participation of women in SHGs along with the impact of participation on empowerment have been explored using the logit regression model, leading to the development of an empowerment index.

Vetoing Co-operation: The Impact of Veto Players on Preferential Trading Arrangements

2007 ◽  
Vol 37 (3) ◽  
pp. 403-432 ◽  
Author(s):  
EDWARD D. MANSFIELD ◽  
HELEN V. MILNER ◽  
JON C. PEVEHOUSE
Keyword(s):  
Second World War ◽  
Economic Consequences ◽  
Veto Players ◽  
Political Factors ◽  
Factors Affecting ◽  
System A ◽  
Preferential Trading ◽  
Preferential Trading Arrangements ◽  
The Impact ◽  
Second World

Since the Second World War, preferential trading arrangements (PTAs) have become increasingly pervasive features of the international economic system. A great deal of research has addressed the economic consequences of these arrangements, but far less effort has been made to identify the political factors leading states to enter them. In this article, the domestic political factors affecting whether countries enter PTAs are investigated, placing particular emphasis on the number of veto players within a state. It is argued that the probability of forming a PTA declines as the number of such players rises. The results, covering 194 countries from 1950 to 1999, strongly support this argument. Holding various political and economic factors constant, increasing the number of veto players within a country significantly reduces the probability of signing a PTA.

Factors Contributing to Child Drownings and Near-Drownings in Residential Swimming Pools

1989 ◽  
Vol 31 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Gregory B. Rodgers
Keyword(s):  
Risk Factors ◽  
Intervention Strategies ◽  
The Other ◽  
Swimming Pools ◽  
Factors Affecting ◽  
Near Drowning ◽  
Logit Regression ◽  
Survey Results ◽  
Development Literature ◽  
Logit Regression Model

This article examines and quantifies factors affecting the risk of child drowning and near-drowning accidents in residential swimming pools. Two surveys were conducted. One survey provided information on children and pools involved in accidents; the other provided information on children exposed to the risk of drowning and their swimming environment. A logit regression model was used to analyze the survey results. The accident determinants were estimated, and risk factors calculated. The results are analyzed within the context of the child drowning and child development literature. Possible intervention strategies are discussed.

scholarly journals Determining Impacts of Certification and Digitalization on Poverty of Smallholder Gayo Coffee Farmers in Indonesia

2021 ◽  
Vol 232 ◽  
pp. 03027
Author(s):  
Wahyu Karami ◽  
Musa Mustada ◽  
Nonny S Navega ◽  
Humam Hamid ◽  
Agus Nugroho
Keyword(s):  
Dynamic Environment ◽  
Short Term ◽  
Adoption Of Technology ◽  
Factors Affecting ◽  
Voluntary Standards ◽  
Logit Regression ◽  
Determining Factors ◽  
Aceh Province ◽  
Coffee Farmers ◽  
Logit Regression Model

The benefit of global coffee certification schemes on farmers’ economy is still arguable. A dynamic environment in voluntary standards and digitalization in the coffee trades has resulted in more complicated effects on the farmers' livelihood. This study aims to analyze the determining factors of certification schemes and digitalization on smallholder Gayo coffee farmers’ livelihood. A total number of 488 Gayo coffee farmers located in eight sub-districts of Aceh Tengah and Bener Meriah Regencies of Aceh Province have been interviewed. A logit regression model was applied to determine the factors affecting farmers’ poverty. This study found that in the “low management-low yields” coffee farmings, certification increases the income than the conventional coffees. However, the benefits only covered for farmer’s basic expenditure in the short term. This study implies that the Gayo coffee certification schemes have less impacts on the adoption of technology and digitalization.

scholarly journals The Impact of Market Outlets Choice on Beekeepers’ Income in Rural Poor: A Case Study of Badakhshan Province

2021 ◽  
Author(s):  
Jamshid Yolchi
Keyword(s):  
Family Size ◽  
Multinomial Logit ◽  
Rural Poor ◽  
Factors Affecting ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
The Government ◽  
The Impact

This research carried out to uncover the effect of beekeeping on the income of rural poor and to which extent that market outlet choice affects the income of beekeepers. The findings of Multinomial Logit regression, from 129 questionnaires of 4 districts indicate that there is no relationship between market outlet choice and income of beekeepers. The income of beekeepers is mostly affected by their family size and working experience. But the factors affecting to choose the home selling market outlet is very different from those of three other channels. In order to promote the income of beekeepers, it’s recommended that the government and other involved NGOs work on arrangements on wholesale opportunities for beekeepers. Because over 102 out of 129 samples have indicated that their products aren’t sold out on time. It means that there is a huge opportunity of filling the gap of honey demand in Afghanistan by promoting the links between producers and buyers.

scholarly journals The functional shift in social media; prepositions and conjunction as a sample: الانزياح الوظيفي في مواقع التواصل الاجتماعي "حروف الجر والعطف أنموذجا"

2019 ◽  
Vol 5 (4) ◽  
Author(s):  
NUJUD ISMAIL ALANAZI, MOHD AZIDAN ABDUL JABAR, ABDURRAUF HAS
Keyword(s):  
Social Media ◽  
Arab World ◽  
Arabic Language ◽  
Study Data ◽  
Third Party ◽  
Factors Affecting ◽  
Social Events ◽  
The People ◽  
Functional Shift ◽  
The Impact

  Arabic language is exposed to many negative linguistic manifestations, such as the phenomenon of widespread grammatical error in social media. The aim of the current study is to monitor grammatical errorin in social media and to identify factors affecting mistakes for (prepositions, conjunctions). The study also seeks to investigate the impact of grammatical variation on the understanding and to detect the effect of grammatical erroron Level. In order to verify the validity of the hypotheses and to answer all the questions, the researcher used the statistical analytical descriptive method in order to obtain the study data. invention “Application third party” by the researcher to correct mistakes among people in social media. The study sample consist of only 200 sentences from (2016 to 2018). with many Arab political and social events occurring in this period, so the social media has become an important and influential medium in the Arab world. The main of results of research was descriptive and statistical results: The Mistake was just in conjunctions, prepositions; because the people used it misplaced. The mistake in the prepositions were %82, while the mistake in the conjunctions just %17.    

scholarly journals SOSIALISASI PENTINGNYA TIDAK MEMBUANG AIR BESAR DI SUNGAI (STOP BABS) DI DESA GAMPANG KECAMATAN PRAMBON

2017 ◽  
Vol 1 (1) ◽  
pp. 43-48
Author(s):  
Shoim Anwar
Keyword(s):  
Direct Contact ◽  
River Flow ◽  
Flow Characteristics ◽  
Influential Factor ◽  
Factors Affecting ◽  
Intentional Behavior ◽  
The People ◽  
The One ◽  
The Impact ◽  
The Village

Sanitation is the one component of environmental health as intentional behavior for cultivate human hygiene to prevent direct contact with dirt and other hazardous waste material, with the hope to maintain and improve human health. This is because, the environment may play a direct cause influential factor in supporting the outbreak of disease and as factors affecting the course of the disease. All feces is a medium as breeding and seed base of infectious diseases. The impact of the disease is most often caused by defecation to the river is the widespread bacterium Escherichia coli, which can cause diarrhea. After that could be dehydrated, and because of the condition of human body’s down then get other diseases. The river is a very important source of water to support human’s life. Dynamism watersheds are influenced by the weather, river flow characteristics and human behaviour of the people who live around the river banks. As a result of effluent from people behaviour causes disturbance to the ecosystem of the river flow. Starting from the non-fulfillment of water quality 3B standarts (colorless, odorless and non-toxic), reduced numbers of fish and water animals, the emergence of a rundown neighborhood until the emergence of health problems and others, therefore, to KKN-PPM in the field of Environmental Sanitation and Supply water in the village Easy in Subdisrtict Prambon, Sidoarjo, the program will be made by "socialization of Great Importance Not Throw water on the River (STOP BABS)".

Estimation of Factors Affecting Job Migration in Vietnam

2020 ◽  
pp. 9-17
Keyword(s):  
Positive Impact ◽  
Living Standards ◽  
Key Factors ◽  
Negative Effects ◽  
Factors Affecting ◽  
Job Migration ◽  
Agricultural Income ◽  
Logit Regression ◽  
Logit Regression Model ◽  
Number Of Males

This study utilized the logit regression model with data from the Vietnamese Household Living Standards Survey (VHLSS) in 2016 to discover key factors that determined the probability of job migration in Vietnam. The estimated results of the model indicated that there were seven factors affecting job migration of households including the proportion of people with high school or higher qualification, the proportion of dependents, the number of males, the rate of income from non-agricultural fields, ethnics, areas and households’ living standards compared to the previous five years. In particular, the rate of non-agricultural income had a positive impact on households’ job migration, while other factors had negative effects on households’ job migration. Households’ accommodations and living standards had made great impacts on households whose family members working far away from home and even being helpers.

scholarly journals Assessment of Quarantine Understanding and Adherence to Lockdown Measures During the COVID-19 Pandemic in Palestine: Community Experience and Evidence for Action

2021 ◽  
Vol 9 ◽  
Author(s):  
Hamzeh Al Zabadi ◽  
Noor Yaseen ◽  
Thair Alhroub ◽  
Maryam Haj-Yahya
Keyword(s):  
Social Media ◽  
Group Living ◽  
The Elderly ◽  
High Risk Group ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
The People ◽  
Adequate Food ◽  
The Impact

Background: Containment of the coronavirus pandemic relied extensively on the combination of early implementation of quarantine and massive behavioral changes to ensure effectiveness. Decision-makers need to constantly monitor the outbreak situation and the impact of the measures implemented. Yet little is known about the factors influencing adherence and understanding of lockdown measures among the Palestinian community. This study aimed to assess the impact and factors affecting these early public health interventions.Materials and Methods: A cross-sectional web-based questionnaire was distributed throughout social media (Facebook and Instagram). We used a snowball recruiting technique to target Palestinian adult citizens during the coronavirus pandemic quarantine between 6 and 16 April 2020, which corresponded to almost the middle interval of the strict massive lockdown measures in Palestine that lasted from 22 March to 5 May 2020. Multivariate logistic regression models were developed for the outcome variables (staying home adherence, in-home precautions adherence, and quarantine understanding).Results: Our questionnaire was completed by 2,819 participants. The mean (range) age was 29.47 (18–71) years. Of them, 1,144 (40.6%), 1,261 (44.7%), and 1,283 (45.5%) reported low levels of staying home adherence, in-home precautions adherence, and quarantine understanding, respectively. Females, city residents, those with higher educational levels, and those informed by official government sources were associated significantly with higher levels of both staying home adherence and quarantine understanding. Adequate food supply was associated with a higher level of staying home adherence. Higher levels of in-home precautions adherence were noticed in the elderly and those with a high-risk group living at home. Higher monthly income was inversely associated with higher levels of in-home precautions adherence and lower levels of quarantine understanding (P < 0.05).Conclusions: The socio-economic and financial status of the general population and coordination between the major information resources (official government), social media, and the press were the major factors affecting the community in regard to quarantine adherence. For maximum effectiveness and commitment levels amongst the people to decrease the spread of infection, policymakers need to address all those factors. In addition, clear communication between policymakers and the population is essential for reassuring the people and minimizing their fears regarding the unknown future.

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