scholarly journals Rethinking Westernization in Destination: Tourists’ Perception of a Touristic City

2021 ◽  
Vol 12 (23) ◽  
pp. 1-25
Author(s):  
Niranjan Devkota ◽  
Udaya Raj Poudel ◽  
Iveta Hamarneh ◽  
Udbodh Bhandari
Keyword(s):  
Regression Model ◽  
Logistic Model ◽  
Descriptive Study ◽  
Local Culture ◽  
Cross Sectional ◽  
Cultural Traditions ◽  
Logit Regression ◽  
Tourism Destinations ◽  
Logit Regression Model

The impacts of westernization are increasing globally in the tourism entrepreneurship practices. Understanding it contributes to the growth and sustainability of the business even in local touristic cities. This paper aims to judge tourists’ perception of westernization about one of the most important touristic cities – Pokhara, Nepal. Purposive sampling was used to collect responses from 248 tourists in Pokhara, which included both open and closed-ended questionnaires. In order to understand the perception of tourists and check the determinants about the prevalence of westernization among tourists, the cross-sectional descriptive study has been used, and Logit Regression Model is applied. The study reveals that 78.22% of the respondents find westernization has influenced tourism entrepreneurship up to a certain extent in Pokhara. Similarly, a majority (89.11%) of tourists reveal that they expect and enjoy local culture than their own culture in tourism destinations, where 95.56% of the tourists suggest preserving the local culture for the sustainability of tourism business in Pokhara. Results from the Ordered Logistic model show that westernization, problems faced in destination, the similarity of destination as per their expectation and level of tourists’ existence at destination play significant roles in their preferences to visit touristic destinations. This study indicates that the first two reduce tourists’ preferences while the latter two stimulate their preferences to visit Pokhara, Nepal. Therefore, entrepreneurs in Pokhara should identify, conserve, encourage, and maintain local socio-cultural traditions to have long-term tourism prosperity and development.

scholarly journals Examination of the Educational Needs of Home Visit Nurses: A Cross-Sectional Descriptive Study

2021 ◽  
Vol 18 (5) ◽  
pp. 2319
Author(s):  
Kyuri Lee ◽  
Dukyoo Jung
Keyword(s):  
Home Visit ◽  
Medication Management ◽  
Health Assessment ◽  
Descriptive Study ◽  
Educational Needs ◽  
Cross Sectional ◽  
Term Care ◽  
Long Term Care Insurance ◽  
And Training

This study aimed to identify educational needs and determine priorities in nursing care for home visit nurses providing services within the national long-term care insurance system in South Korea. This cross-sectional descriptive study assessed the educational needs of 92 home visit nurses. Participants’ characteristics were analyzed using percentages, averages, and standard deviations. Educational needs were calculated for participants’ current and required competency levels, utilizing the paired t-test, Borich’s educational needs formula, and the locus for focus model. Four main categories were identified as top priorities: (1) health assessment, (2) cognitive function care, (3) disease management, and (4) medication management. The study’s findings could support the development of appropriate and responsive education and training programs for home-visit nurses—as it reflects the actual needs of this group.

scholarly journals Access to bank credit by smallholder farmers in Tanzania: a case study

Afrika Focus ◽  
2018 ◽  
Vol 31 (1) ◽  
Author(s):  
Nsubili Isaga
Keyword(s):  
Regression Model ◽  
Financial Services ◽  
Smallholder Farmers ◽  
Bank Credit ◽  
Survey Method ◽  
Cross Sectional ◽  
Study Objective ◽  
Factors Affecting ◽  
Logit Regression ◽  
And Gender

Tanzania like many other developing countries is highly dependent on agriculture for income generation and job creation for its citizens. Because the sector is mainly composed of smallholder farmers, lack of finance remains the leading obstacle to development. This study seeks to determine factors that affect access to bank credit by smallholder farmers in the Mvomero District of Morogoro, Tanzania. The study used a cross-sectional design, with data being collected via the survey method. Purposeful sampling was used to obtain the respondents who fitted into the study objective. The data were analyzed using descriptive statistics and a logistic regression model. The Logit regression model in particular was employed to determine factors that affect smallholder farmers’ access to bank services. The study reveals that the value of assets invested in farming activities, education and gender are significant factors affecting smallholder farmers’ access to bank credit. Policy recommendations include the establishment of a government bank that would exclusively provide financial services to agriculturalists by establishing a credit guarantee scheme, and the development of new financial products by the banks that would cater to the needs of smallholder farmers. Key words: access, bank credit, smallholder farmers, logit regression

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.

Functional PLS logit regression model

2007 ◽  
Vol 51 (10) ◽  
pp. 4891-4902 ◽  
Author(s):  
M. Escabias ◽  
A.M. Aguilera ◽  
M.J. Valderrama
Keyword(s):  
Regression Model ◽  
Logit Regression ◽  
Logit Regression Model

scholarly journals Factors Affecting Farm Succession and Occupational Choices of Nominated Farm Successors in Gilgit-Baltistan, Pakistan

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1203
Author(s):  
Muhammad Abid Shahzad ◽  
Syed Abubakr ◽  
Christian Fischer
Keyword(s):  
Regression Model ◽  
Farm Size ◽  
Agricultural Activity ◽  
Infrastructure Development ◽  
Occupational Choices ◽  
Agricultural Income ◽  
Logit Regression ◽  
Part Time ◽  
Logit Regression Model ◽  
Gilgit Baltistan

Mountain farming communities in Pakistan are exhibiting an increased rate of rural-to-urban migration and a rapid growth in the non-farm sector, which has threatened the sustenance of agricultural activity. This study examined the determinants of farm succession using a logit regression model and employed a multinomial logit regression model to study the factors influencing the future occupational choices of the potential farm successors. The study was based on quantitative survey data obtained from 421 farm managers and 155 potential farm successors and qualitative data from 12 key informants from two different districts in Gilgit-Baltistan. The survey results show that around 67% of the farmers had a potential successor. Farm succession was mainly explained by farmer characteristics (e.g., farmer age, gender and education), farm characteristics (e.g., farm size, specialization in horticulture, etc.) and agricultural income. Regarding the occupational choices, part-time farming (66%) was the most commonly reported choice. The results indicate that it was mainly farm successors’ personal characteristics (such as age, education and marital status) and agricultural income that led to the choices “undecided” and “exit”, whilst farm characteristics (e.g., farm size) and the main farm operators’ non-farm activity were significantly associated with the choice “part-time”. Policies aimed at improving the local income situation and investments in skill-building and infrastructure development can assist in farm sustenance.

ADOPTION DYNAMICS OF TITHONIA DIVERSIFOLIA FOR SOIL FERTILITY MANAGEMENT IN PILOT VILLAGES OF WESTERN KENYA

2008 ◽  
Vol 44 (4) ◽  
pp. 473-484 ◽  
Author(s):  
EVELYNE KIPTOT
Keyword(s):  
Soil Fertility ◽  
Regression Model ◽  
Smallholder Farmers ◽  
Tithonia Diversifolia ◽  
Soil Fertility Management ◽  
Western Kenya ◽  
Fertility Management ◽  
Logit Regression ◽  
Logit Regression Model ◽  
Adoption Dynamics

SUMMARYThis paper presents the results of a study that was undertaken to assess adoption dynamics of Tithonia diversifolia in Siaya and Vihiga districts of western Kenya from 1997 to 2004. The study was undertaken among a random sample of 120 farmers from eight pilot villages exposed to the technology. Descriptive statistics and a logit regression model were used to analyse data. The findings show that more farmers in pilot villages of Siaya are taking up the use of Tithonia than in Vihiga. As of 2004, 52% of farmers in Siaya were adopters compared to only 8% in Vihiga. Results of the logit regression model show that the use of Tithonia biomass for soil fertility management (SFM) is more likely to be adopted in a context where there is a scarcity of animal manure, farmers are willing to plant it on farms and hire casual labour. The use of Tithonia by smallholder farmers for SFM is therefore a promising low-cost option that can be scaled up to areas where farmers face similar constraints.

A COMPARISON OF FEMALE- AND MALE-HEADED HOUSEHOLDS IN TANZANIA AND POVERTY IMPLICATIONS

2005 ◽  
Vol 38 (3) ◽  
pp. 327-339 ◽  
Author(s):  
R. S. KATAPA
Keyword(s):  
Regression Model ◽  
Marital Status ◽  
Health Survey ◽  
Rural Areas ◽  
Logit Regression ◽  
Head Of Household ◽  
Chi Squared ◽  
Using Data ◽  
Female Headed Households ◽  
Logit Regression Model

Female- and male-headed households were compared using data from a Demographic and Health Survey conducted in Tanzania in 1996. Chi-squared tests showed that sex of head of household was highly significantly associated with: residence, household size and composition, radio ownership, having enough food to eat, and age and marital status of head of household. An analysis by the logit regression model showed that female-headed households were more likely than male-headed households to be in rural areas, be small, have fewer men, not have radios and not have enough food to eat. The majority of female heads of households were unmarried and older than male heads of households. The implication is that female-headed households are poorer than male-headed households.

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