scholarly journals To Relocate Or Not to Relocate: A Logit Regression Model of Factors Influencing Corporate Headquarter Relocation Decision in China

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110326
Author(s):  
Biyue Lin ◽  
Shoukat Iqbal Khattak ◽  
Bei Zhao
Keyword(s):  
Regression Model ◽  
Policy Implications ◽  
Central Cities ◽  
Factors Affecting ◽  
Logit Regression ◽  
Maritime Silk Road ◽  
Tax Management ◽  
Industry Environment ◽  
Road Project ◽  
Logit Regression Model

China’s 21st-Century Maritime Silk Road Project (involving USD1 trillion) is one of the most ambitious projects in human history. Although this trans-continental project presents tremendous development opportunities for businesses and cities within and outside China, there is nascent progress in some cities, for example, Quanzhou. With limited development prospects, enterprises are considering partial or total relocation to central cities to overcome bottlenecks and exploit future opportunities. Past relocation literature offers limited and contrasting insight into enterprise relocation’s antecedents and outcomes, especially for China. This article has attempted to fill this gap by exploring the factors affecting relocation decisions in Quanzhou using a sample of 441 employee self-reports. The logit regression model indicated that employees and cadre groups consider four factors before headquarter relocation, including preferential policies and industry environment (e.g., subsidies and tax), management resources (e.g., standardized management), intelligence and software resources (e.g., brand awareness), and international communication and market space (e.g., market openness). The intelligence and software resources were the least prioritized relocation factors among all four factors. The article presents important policy implications based on current results.

scholarly journals Delineating investment opportunities for stakeholders in sorghum seed systems: a logit model perspective

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Judith Ndossi ◽  
Essegbemon Akpo ◽  
Chris O. Ojiewo ◽  
Justin Ringo ◽  
Eliud Kongola ◽  
...  
Keyword(s):  
Regression Model ◽  
Descriptive Statistics ◽  
Policy Implications ◽  
Seed Systems ◽  
African Countries ◽  
Gross Margin ◽  
Sustainable Business ◽  
Logit Regression ◽  
Investment Opportunities ◽  
Logit Regression Model

Abstract Background Seed systems are considered as a vehicle through which the sustainable agricultural intensification can be achieved. However, most sub-Saharan African countries have been ineffective to provide sufficient incentives for stakeholders to consistently invest in the seed systems specifically for crops like sorghum. This study was therefore conducted to uncover investment opportunities for stakeholders in the sorghum seed systems to attain an impact-oriented seed production and delivery systems. Results The study applied descriptive statistics, Logit regression model, and Gross margin to analyze possible areas for investments. Descriptive statistics analyzed the percentage of farmers using sorghum improved varieties and sources used to obtained improved variety seeds. Logit regression model was applied to analyze factors correlating with planting of improved seeds. Gross margin was applied to show profitability of growing improved sorghum seeds and grain. Findings revealed that 39.2% of the sampled farmers were growing improved sorghum variety seeds. Farmers obtained improved variety seeds from both informal (57.8%) and formal (42.2%) sources. Logit estimates indicate that variety preference, unavailability of seeds, resistance to diseases, and drought had significant correlation with planting of improved variety seeds. Seed companies and quality declared seed (QDS) producers earned high margin of 53,08,900 Tanzanian Shillings per hectare (TZS/ha, 1 USD = 2315 TZS during the period of data collection) and 33,94,709 TZS/ha, respectively. Farmers using improved variety seed earned higher margin (8,19,805 TZS/ha) than farmers who did not use improved variety seeds (3,17,373 TZS/ha) Conclusions The identified investment opportunities were increasing number of farmers using improved variety seeds that would drive increased production, distribution, and marketing of quality seed. The large number of farmers still sourcing seed from the informal channel provides avenue to reach out to these farmers through demand creation and wide variety popularization meeting farmer preferences. The huge margin seed producers make provides good incentive to drive private seed companies and individual seed entrepreneurs to make sustainable business out of sorghum seed. The policy implications for reviving sorghum production and productivity are further discussed.

The Determinants of Poverty: Case of Indonesia

2017 ◽  
Vol 5 (3) ◽  
pp. 58-68
Author(s):  
Lilik Sugiharti ◽  
Martha Ranggi Primanthi
Keyword(s):  
Rural Area ◽  
Poverty Reduction ◽  
Jel Classification ◽  
Policy Implications ◽  
Education Attainment ◽  
Education Access ◽  
Logit Regression ◽  
Rural And Urban ◽  
Poor Households ◽  
Logit Regression Model

Objective - The objectives of the study were to analyze the general picture of poverty, and determinants of poverty in Indonesia. Understanding poverty characteristic is a main point for designing an effective poverty reduction strategy. During the last five years Indonesia has experienced a slowing down growth and the poverty rates has declined slightly. Some provinces or regions have managed to reduce the poverty well, while others have been slower, and also the distribution of the poor is uneven across both rural and urban, generally the rural is more than urban area. Methodology/Technique - Factors determining poverty of households were estimated and anayzed using a logit regression model, and it is found that such demographic factors as gender and age of households head, size of households, factors of production included accessibility to the technology and credit, working status, and education attainment, and also geographic characteristics significantly explain reasons for being poor. Moreover, increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention. Findings - The results of the determinants of poverty in Indonesia shows that poor households are those with large number of dependents and equipped with limited education access, and the majority of these households live in rural area. Novelty - Study suggests that increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention or policy implications. Type of Paper: Empirical Keywords: Logit Regression; Poverty Reduction, Indonesia. JEL Classification: I21, I22, I24.

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 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 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.

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.

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