scholarly journals DETERMINANTS OF DEMAND FOR MORTGAGE FINANCE IN KENYA: A CASE OF NAIROBI COUNTY

2017 ◽  
Vol 1 (1) ◽  
pp. 30
Author(s):  
Alfred Irungu ◽  
Dr. Brigitte Okonga
Keyword(s):  
Low Income ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Target Population ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Income Levels ◽  
Mortgage Finance ◽  
The Cost ◽  
Mortgage Demand

Purpose: The purpose of the study was to determine the determinants for the demand of mortgage finance in Kenya.Methodology: The study adopted a descriptive research design. The target population of this study was applicants for mortgage finance. Random sampling technique was used. The sample size was 384 respondents. Data was collected using structured questionnaires. The collected primary data was analyzed using Statistical Package for Social Science (SPSS) version 20. A binary logistic regression analysis was conducted. The Pearson Product was used to analyze the data. The findings from the analysis were organized and summarized in form of percentages, means ratios and frequencies and presented using tables and pie charts.Results: The results indicated that the likelihood of cheap mortgage substitutes resulting to low demand for mortgage finance in Kenya was 4.911 times higher than more costly mortgage substitutes. The findings further indicated that the likelihood of high legal cost and high stump duty cost causing low mortgage demand are 2.550 and 2.274 times higher than when the costs are low. The findings also indicate that the likelihood of low income levels causing low demand for mortgage substitutes was 6.369 high than high income levels. Finally the findings indicate that the likelihood of lack of promotion causing low mortgage demand was 5.808 higher than having promotion.Unique contribution to theory, practice and policy: The study recommended that mortgage financing institutions should consider the cost of mortgage substitutes, cost of mortgage, income level and promotion in order to increase the demand for mortgage finance in Kenya.

Effect of Financial Technology Loans on Financial Inclusion Among the Unbanked Low-Income Earners in Makueni County

2021 ◽  
Vol 3 (2) ◽  
pp. 1-12
Author(s):  
Samson Mutuku Mule ◽  
Fredrick Wafula ◽  
Nickson Agusioma
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Rural Areas ◽  
Financial Services ◽  
Small Businesses ◽  
Sampling Technique ◽  
Target Population ◽  
Financial Inclusion ◽  
Primary Data ◽  
Financial Technology

Financial inclusion is crucial in fostering individual prosperity, poverty eradication and stimulating economic growth. It is therefore a major policy concern for majority of governments across the world. Despite the rampant growth of financial technology in Kenya, the number of adults who are financially excluded is still high among the rural area residents. Lack of financial services access in rural areas has resulted to rural economic growth retardation and inequality. Further, financial exclusion has led to increased poverty levels because those excluded have been forced to depend on their limited savings to pursue their entrepreneurial interests. Small businesses have had no choice but to rely on their inadequate earnings to pursue viable business opportunities. The main objective of this study was to establish the effect of financial technology loans on financial inclusion among the unbanked low-income earners in Makueni County. Descriptive research design was used, with the target population being the unbanked low-income earners over the age of 18 in Makueni County. A sample size of 384 respondents was chosen using the convenience sampling technique. Personal interviews were conducted using an interview guide to collect primary data. The study found that fintech loans have a positive and significant effect on financial inclusion among the unbanked low-income earners in Makueni County. According to the findings of the study, since the unbanked people in Makueni County associate the use of financial technology loans to meeting personal financial needs and especially coping up with day-to-day expenses and emergencies, this study recommends that such people embrace the use of the fintech loans more as it will aid them in improving their financial lives to a greater extent. This is because for instance, by using the fintech loans, they can create employment for themselves and generate sufficient income by financing micro businesses using this credit.

Sources of finance for tech startups over its lifecycle: what determines their approach of sources and its success?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shivalik Singh ◽  
Bala Subrahmanya Mungila Hillemane
Keyword(s):  
Venture Capital ◽  
Private Equity ◽  
Growth Stage ◽  
Early Stage ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Content Type

PurposeThe purpose of this paper is to ascertain the factors determining the choice of sources of finance for a tech startup over its lifecycle.Design/methodology/approachThis study adopts simple random sampling technique to choose 93 sample tech startups in Bangalore. Further, this study employs the primary data collection from the sampled startups under study through a semi-structured questionnaire and in-depth interviews with the founders/CEOs of these startups. Furthermore, it carries out binary logistic regression analysis to primarily examine the likelihood of a tech startup to approach and access a particular source of finance over its lifecycle.FindingsOur results indicate that a tech startup's choice for a financial source varies with its lifecycle stage and financial requirements. We find that while in its early stage, a tech startup's choice of a financial source is limited to business angels (BA), in the growth stage, it approaches the institutional sources, viz. Venture Capital (VC), Corporate Venture Capital (CVC), Banks and Private Equity (PE) firms alternatively. Out of the three major categories of financial requirements: Human Capital (HC), Research Capital (RC) and Social Capital (SC), the requirement for HC and SC is predominantly funded by VCs, while the acquisition of RC is facilitated by early stage investors (BAs) as well as growth stage investors (CVC and PEs).Research limitations/implicationsThe research implication of the study lies in bringing out the need to understand both the nature and the quantum of financial requirements of tech startups would influence the sources of finance it would approach and obtain finance for its operations and growth.Practical implicationsThe major policy implication of the study refers to the need to promote the diverse sources of finance to meet the diverse needs of finance in different stages of a tech startup's lifecycle. Particularly in an emerging economy, where we do not see the emergence and growth of highly innovative tech startups, the need to promote adequate availability of RC is especially important.Originality/valueThis study makes a key contribution to the entrepreneurial finance literature by empirically investigating the factors determining a tech startup's propensity to approach and access a particular source of finance over its lifecycle.

scholarly journals Drivers of Cooperation Activity in Kosovo’s Agriculture

Agriculture ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 96 ◽  
Author(s):  
Shyhrete Muriqi ◽  
Maria Fekete-Farkas ◽  
Zsolt Baranyai
Keyword(s):  
Rural Areas ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting ◽  
Level Of Education ◽  
Cooperative Institutions ◽  
High Level

This research aims to determine the demographic and economic factors affecting agriculture cooperation activity in Kosovo. Primary data was collected from 249 farmers in Kosovo through structured questionnaires using the random sampling technique. The results show that the level of cooperation among farmers in Kosovo is low due to the lack of trust in the cooperative institutions. The binary logistic regression analysis used in the study shows that location, gender, age, education level, trust, and farm size have significantly influenced the cooperation activity. Findings also highlight that the farmers who live in rural areas, as well as those who are young and have got a higher level of education and trust, show a higher level of activity associated with cooperation, whereas farms managed by (older) men with lower level of education are less likely to cooperate. Estimation indicates that medium sized farms show a high level of cooperation, which can be statistically verified, and only the type of farming has nonsignificant influence in cooperation.

scholarly journals Socioeconomic determinants of micro and small enterprise growth in North Wollo and Waghimira Zone selected towns

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Erstu Tarko Kassa
Keyword(s):  
Research Design ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Small Enterprise ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Tax Rate ◽  
Socioeconomic Determinant ◽  
North Wollo

AbstractThis study aims to investigate the socioeconomic determinant factors that affect the growth of micro and small enterprises (MSEs) in North Wollo and Waghimira Zone selected towns. In this study, a cross-sectional research design with both descriptive and explanatory research design has been employed, and 303 owners of enterprises have participated. The towns were selected purposely, and the respondents were also selected by using a simple random sampling technique. The data were analyzed by using STATA v-14 and applied descriptive and binary logistic regression analysis (odds ratio). The finding of the study revealed that age of the owner, access to finance, family business background, and interest rate most likely affect the growth of the enterprises with the statistically significant level. On the contrary, entrepreneurship training, the experience of the owner, the inflation rate, and competition less likely affect the growth of the enterprises with a statistical significant level. The remaining factors such as gender of the owners, education background, business age, business type, business location, social responsibility, tax rate, and social attitude were not statistically significant to determine the growth of MSEs.

scholarly journals Analisis Dampak Tax Morale Terhadap Kepatuhan Pajak UMKM: Studi Kasus Kota Semarang

2018 ◽  
Vol 1 (1) ◽  
pp. 14
Author(s):  
Muslimah Mahmudah ◽  
Deden Dinar Iskandar
Keyword(s):  
Small And Medium Enterprises ◽  
Tax Compliance ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Ethical Business ◽  
Tax Morale ◽  
Business Size ◽  
Medium Enterprises ◽  
The Impact

This study aims to analyze the impact of tax morale on Micro, Small, and Medium Enterprises (MSMEs) tax complianceSemarang City as the case study. This study uses primary data generated from 117 samples of MSMEs in Semarang. Data analysis is performed  using binary logistic regression analysis. The results showed that environmental, institutional, ethical, business, and business size variables significantly influence MSMEs tax compliance. On the other hand, variables whose effect on tax compliance is not statistically significant include happiness, religiosity, gender, age, education, and marital status.

scholarly journals Pengaruh Faktor Keuangan Dan Karakteristik Pemerintah Daerah Terhadap Financial Distress

2020 ◽  
Vol 2 (3) ◽  
pp. 3160-3178
Author(s):  
Yoli Wulandari ◽  
Fefri Indra Arza
Keyword(s):  
Financial Distress ◽  
Local Governments ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Total Sample ◽  
Binary Logistic Regression Analysis ◽  
Financial Independence ◽  
Growth Ratio ◽  
Audit Opinion ◽  
West Sumatra

This study aims to determine the effect of Financial Factors (Effectiveness Ratios, Efficiency Ratios, And Growth Ratios) and Local Government Characteristics (Financial Independence Of Local Governments, Population, Area, And Audit Opinion) on the Financial Distress on the Districts/ Cities in West Sumatra Province in 2016-2018. The data in this study use secondary from BPK and BPS. The sampling technique uses a total sampling method with a total sample of 19 districts / cities wtih a period of time of 4 years. Analysis of the data using binary logistic regression analysis. The results of this study indicate that (1) ratio of effectiveness has a negative and not significant effect on financial distress, (2) Efficiency ratio has a positive and not significant effect on financial distress, (3) growth ratio has a positive and not significant effect on financial distress, (4) The financial independence of local governments has a negative and not significant effect on financial distress, (5) population has a negative and significant effect on financial distress, (6) Area has a positive and significant effect on financial distress, (7) Audit opinion has a negative and not significant effect on financial distress.

scholarly journals Corporate Environmental Performance and the Choice of Export Mode – Based on the Theory of Heterogeneous Firm Trade

2021 ◽  
pp. 1131-1146
Author(s):  
Cuihong Yao ◽  
Alisha Ismail ◽  
Noor Azura Azman
Keyword(s):  
Environmental Performance ◽  
Positive Impact ◽  
Binary Logistic Regression ◽  
Positive Influence ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Chinese Government ◽  
Corporate Environmental Performance ◽  
Trade Theory ◽  
Heterogeneous Firm

Heterogeneous firm trade theory holds that firms' productivity is closely related to firms' export mode and Corporate Environmental Performance (CEP). CEP as one of the important elements associated with firms' productivity, has a significant impact on firms' export mode. The objective of the paper is to assess the enterprises with import and export business in Maoming City. Primary data was used to obtain data, while binary logistic regression analysis was used to analyse the data to determine the influence of CEP on export mode. The results show that the CEP has a positive impact on the export mode. Furthermore, results show that enterprises with better CEP are more inclined to choose the direct export mode, and vice versa. This result is consistent with the theory of heterogeneous firm trade. The study recommends that the Chinese government should give full consideration to the export mode of enterprises when making export policies and make full use of CEP's positive influence on the export mode to promote the internationalisation strategy of enterprises and realise the maximisation of enterprise value.

scholarly journals Enhancing understanding of food purchasing patterns in the Northeast US using multiple datasets

2019 ◽  
pp. 1-15 ◽  
Author(s):  
Anne Palmer ◽  
Alessandro Bonanno ◽  
Kate Clancy ◽  
Clare Cho ◽  
Rebecca Cleary ◽  
...  
Keyword(s):  
Low Income ◽  
Race And Ethnicity ◽  
Geographic Location ◽  
Secondary Data ◽  
Research Area ◽  
Primary Data ◽  
Income Levels ◽  
Food Purchasing ◽  
New Findings ◽  
Purchasing Patterns

Abstract Due to correlations between purchasing patterns and diet disparities, differences in food shopping patterns and strategies across income levels and other socio-economic characteristics is a widely-studied research area. Most extant literature uses either primary or secondary data, which are often characterized by, respectively, limited geographical scope and considerable level of detail, or wide geographical reach but low detail. That literature also reveals contrasting results based on methods, data sources and geographic location. In this paper, we use three different datasets to characterize the differences in purchasing patterns across income levels, rural–urban status and other variables of food shoppers in the Northeastern USA and compare these trends with existing research. While many of the findings corroborate previous studies, new findings include less reliance on superstores overall, except for rural respondents, and a greater reliance on limited assortment supermarkets for SNAP and low-income households. Food purchasing differences are described by race and ethnicity, income and education, and children in the household. The analysis presented here includes a portion of the work performed by an interdisciplinary team of researchers engaged in the USDA National Institute of Food and Agriculture's Agriculture and Food Research Initiative project Enhancing Food Security in the Northeast (EFSNE). By using primary data from shoppers' intercept surveys, and secondary data from two large datasets, one of household food purchases and the other of food expenditures, we identify purchasing decisions holding at both the case-study (limited geography) and broader geographic (entire Northeast) levels, which both support previous findings and reveal the need for additional research in this area.

scholarly journals Profitabilitas Memoderasi Pengaruh Financial Distress pada Opini Audit Going Concern

2019 ◽  
Vol 29 (1) ◽  
pp. 420
Author(s):  
Anak Agung Gde Oka Maheswara ◽  
A.A. Ngurah Bagus Dwirandra
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Participant Observation ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Binary Logistic Regression Analysis ◽  
Manufacturing Companies ◽  
Audit Opinion ◽  
Going Concern ◽  
Observation Methods

The purpose of this study was to determine the effect of partial financial distress on the going concern audit opinion, to determine the effect of partial profitability on the going concern audit opinion and to know the moderating ability of profitability on financial distress that affects the going concern audit opinion. This research conducted at manufacturing companies listed on the Stock Exchange in 2015-2017. The research sample was obtained using purposive sampling technique. Data collection is done by non-participant observation methods. Data analysis techniques are carried out using the method of binary logistic regression analysis. The test results show that financial distress has an effect on the going concern audit opinion, profitability has no effect on the audit opinion, and profitability weakens the effect of financial distress on the going concern audit opinion. Keywords : Financial Distress; Going Concern Audit Opinion; Profitability.

scholarly journals Cost-benefit Analysis of Seedling Production on Floating Beds in a Few Selected Areas of Bangladesh

2019 ◽  
Vol 7 (2) ◽  
pp. 75
Author(s):  
Mohammod Akbar Kabir ◽  
Md. Moniruzzaman ◽  
Kawsar Jahan ◽  
Md. Shahjahan
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Sampling Technique ◽  
Primary Data ◽  
Seedling Production ◽  
Benefit Analysis ◽  
Net Benefit ◽  
Government Aid ◽  
Combat Climate Change ◽  
The Cost

The aim of this study was to calculate the cost benefit analysis and economic viability of seedling production on the floating bed at Nazirpur Upazila in Pirojpur district of Bangladesh. The study area was selected purposively and 50 households (HHs) were surveyed through purposive sampling technique from a population of 80 households. From the results of those primary data, it was found that 68% farmers were engaged in seedling production as business purpose, and 30% as both own and business, 21 vegetables and spices seedlings were cultivated in the studied area. Average per square meter cost for floating seedling cultivation found BDT (Bangladeshi taka) 281 and benefit was BDT 401. The net benefit of floating agriculture found BDT 120 and with a BCR of 1.43. Income from floating seedlings mainly utilized in winter vegetable cultivation (Kandi), mainstream agriculture, business, house development and land purchase etc. Fifty percent (50%) of the floating farmers mentioned various constraints regarding floating seedling production such as lack of government aid, higher interest from NGOs and lack of capital. Among the surveyed respondents, 64% agreed that floating cultivation is effective to combat climate change and 76% replied as beneficial to the environment. Although floating agriculture is an indigenous age-old practice in the South-western region of Bangladesh, it can be replicated with the help of subsidy and agro-technology.

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