Indian MFI at crossroads: sustainability perspective

2014 ◽  
Vol 14 (5) ◽  
pp. 728-748 ◽  
Author(s):  
Pinky Dutta ◽  
Debabrata Das
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Information Exchange ◽  
Financial Sustainability ◽  
Linear Regression Models ◽  
Content Type ◽  
Factors Affecting ◽  
Before And After ◽  
The Impact ◽  
Substantial Change

Purpose – The purpose of this paper is to examine the factors affecting the financial sustainability of the Indian Micro Finance Institutions (MFIs) post-Andhra Pradesh (AP) crisis Design/methodology/approach – Regression analysis is used to test the significance of the independent variables on the variable of interest, i.e. the operational self-sustainability. Three-stage regression analysis, i.e. Partial F-test, residual analysis and Box–Cox-type transformations is applied to see the impact of the variables on financial sustainability of the Indian MFIs. The study is based on the data of the Indian MFIs during three fiscal years from 2010-2011 to 2012-2012 reported in the Microfinance Information Exchange (MIX). Findings – The authors’ results indicate that in 2010-2011, the linear regression model seems to be good fit to the data, whereas in 2011-2012 and 2012-2013, the appropriateness of the linear regression models seems questionable (the error distribution seems to be skewed). It is observed that square root of the dependent variable exhibits adequate fit for 2011 and 2012. Therefore, a substantial change in the model for estimating sustainability of Indian MFIs is observed in the post-AP crisis era. It is observed that portfolio quality and capital management are important determinants for the financial sustainability of the MFIs. Practical implications – This study identifies the factors affecting the sustainability of the Indian MFIs, especially after the reforms following the AP crisis in India. The study suggests that from 2012-2013, the factors such as write-off ratio, capital-to-asset ratio, ratio of financial revenue to assets and provision for loan impairment-to-asset ratio are the main factors which have significant impact on the operational self-sufficiency (OSS) of Indian MFIs. This indicates that the quality of portfolio must be improved to reduce the vulnerability of the Indian MFIs. Social implications – After the AP crisis, the performance of Indian MFIs is stabilized to a greater extent. The various performance indicators are improving. Originality/value – The paper provides a detailed comparative analysis of the factors effecting financial sustainability of the Indian MFIs, before and after the regulatory reforms in 2011. A substantial change is observed after 2011-2012. Such a study on the Indian microfinance sector seems to be new (to the best of the authors’ knowledge).

scholarly journals The Impact of Coating Ingredients on the Aging Resistance of Topcoat Paints by Model Trees

2020 ◽  
Author(s):  
Tzu-Tsung Wong ◽  
Shih-Hsuan Hung
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Prediction Method ◽  
Linear Regression Models ◽  
Key Factors ◽  
Model Trees ◽  
Factors Affecting ◽  
Aging Resistance ◽  
Before And After ◽  
The Impact

Topcoat paint is mainly composed of resin and pigment and hence its quality highly depends on the type and proportion of these two ingredients. This study aims at testing the formula of the topcoat paint for finding one that can achieve better quality for anti-aging. Various formulas of paint are applied on boards that will be put into ultraviolet accelerated test machines to simulate weathering tests. The gloss and color, before and after the tests, are collected and numerical prediction method M5P is used to grow model trees for discovering the key factors affecting aging. Based on the structure and the linear regression models in the trees, a better topcoat paint should be composed of a high proportion of resin and generally a low proportion of pigment. Good types of resin and pigment are also identified for keeping color and gloss.

Supplier flexibility and performance: an empirical research

2020 ◽  
Vol 26 (7) ◽  
pp. 1851-1870
Author(s):  
Asuman Üstündağ ◽  
Mustafa C. Ungan
Keyword(s):  
Literature Review ◽  
Information Exchange ◽  
Structural Equation ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Chain Flexibility ◽  
Content Type ◽  
Factors Affecting ◽  
Supplier Performance ◽  
The Impact

PurposeA literature review conducted for this study showed that although different aspects of supply chain flexibility have been studied, research on the factors affecting supplier flexibility and the impact of supplier flexibility on supplier performance are conspicuously absent. The present study aims to fill in this gap in the literature.Design/methodology/approachA quantitative research design was adopted. Data were collected from 119 manufacturing companies operating in Turkey and analyzed by structural equation modeling.FindingsThe findings show that supplier flexibility is associated with environmental uncertainty, relationships with the buyer and the quality of information shared between the buyer and the supplier, but not with the level of information shared between the buyer and the supplier. The findings also indicate that supplier flexibility affects supplier performance.Research limitations/implicationsThe generalizability of the findings can be considered as a limitation. In the future, sector-based larger-scale studies are desirable. Also, data can be collected from both the main business and suppliers and findings may be compared.Practical implicationsThe findings of this study help decision-makers to make more informed decisions about information exchange, supplier relationships and environmental uncertainties depending on the degree of flexibility that they request from their suppliers.Originality/valueA literature review for this study indicated that there is a lack of research on the factors affecting supplier flexibility. Therefore, this research is expected to make an original contribution to the literature.

scholarly journals Assessing the effectiveness of financial regulation in the English Football League

2019 ◽  
Vol 32 (7) ◽  
pp. 1876-1897 ◽  
Author(s):  
Richard Evans ◽  
Geoff Walters ◽  
Richard Tacon
Keyword(s):  
Financial Regulation ◽  
Statistical Significance ◽  
Graphical Form ◽  
Financial Sustainability ◽  
Content Type ◽  
Football Clubs ◽  
Management Protocol ◽  
Before And After ◽  
Sports Leagues ◽  
The Impact

Purpose The purpose of this paper is to provide an assessment of the effectiveness of the Salary Cost Management Protocol, a form of financial regulation introduced by the English Football League in 2004 to improve the financial sustainability of professional football (i.e. soccer) clubs. Design/methodology/approach The analytical approach is to assess the effect of the regulation from evidence of change in measures of the financial performance of clubs drawing on three criteria: profitability, liquidity and solvency. A unique database was created from the published financial statements and notes to the accounts of the clubs in the Tier 4 league (known since 2004 as League Two) from 1994 to 2014 to encapsulate the 10-year period before and after the regulation was introduced. To show trends in the data within the study period, the data are reported in graphical form. The statistical significance of change in both the slope and intercepts for trends between breaks of interest in the data is estimated by linear regression. Findings The results show that financial regulation failed to significantly improve the profitability or the solvency of football clubs in League Two. Whilst the liquidity of the clubs improved in response to the introduction of the financial regulation, the results show this was only in the year in which the financial regulation was introduced. Research limitations/implications The results extend theoretical debate on financial regulation in sports leagues by moving beyond the assumption that financial regulation is a “technical exercise” to provide an alternative way of thinking about financial regulation as a “legitimising exercise”. Originality/value This is the first study to assess the impact of financial regulation for football league clubs over a longitudinal period. It is also extends previous research in which only single aspects of the financial sustainability of football clubs, such as insolvency, have been considered.

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

Consumer preference and satisfaction of M-wallets: a study on North Indian consumers

2017 ◽  
Vol 35 (6) ◽  
pp. 944-965 ◽  
Author(s):  
Nidhi Singh ◽  
Shalini Srivastava ◽  
Neena Sinha
Keyword(s):  
Regression Analysis ◽  
Mobile Technology ◽  
Consumer Preference ◽  
North India ◽  
Content Type ◽  
Factors Affecting ◽  
Usage Rate ◽  
Proposed Model ◽  
Indian Consumers ◽  
The Impact

Purpose The purpose of this paper is to test the conceptual model of consumers’ intention and satisfaction towards mobile wallets. This study uses the integrated UTAUT model which includes variables such as ease of use, trust, security, self-efficacy, etc., and an additional variable (hedonism) to test consumers’ behaviour in the context of mobile banking technologies. Regression analysis, ANOVA and descriptive analysis are used to test the relationship among several dimensions such as perceptions, preferences, satisfaction and usage rate of mobile wallets in North India. A sample of 204 North Indian consumers was taken to understand the consumers’ adoption behaviour towards mobile wallet. The study explains the significance of the proposed model and its effectiveness to understand the behaviour of North Indian consumers. The result shows a significant association between consumers’ perception, preference, usage and satisfaction. Security, trust and hedonism are few of the most influencing variables in the study. Demographic variables such as gender and age also influence consumer satisfaction and usage rate of mobile wallets in North India. The proposed model and results of the study bring valuable insights into researchers and practitioners in the context of usage of mobile wallets. Design/methodology/approach Various standardized scales were used in the present study. Statistical techniques like descriptive statistics, analysis of variance, t-test, χ2 and regression analysis were used to assess the data. The data were collected with three separate questionnaires on variables perception, preference, usage and satisfaction. Findings Findings of this study show a strong relation between customer’s perception, preference and satisfaction of mobile wallet users. The result also shows the impact of customer’s perception, satisfaction and preference on the usage rate of mobile wallets in India. The authors have collected responses from the various regions in south and North India. Research limitations/implications The first contribution of this study is that it shows a strong correlation between consumers’ perception, preferences and satisfaction. Various studies are available to understand the impact of perception on satisfaction (Samudra and Phadtare, 2012; Venkatesh and Davis, 2000, Thakur, 2013), but very few studies have integrated it with preference and mobile wallet usage. Moreover, no study is available on these variables specifically for North Indian consumers. This study is unique in the sense that it discuss the association of consumer’s perception with type of transactions they prefer to do in M-wallets. This paper also identify one more crucial factors, “hedonism” which is not discussed extensively in the literature. Practical implications The study has several implications to the mobile technology industry and the banking system to identify new strategies for mobile wallet usage. Factors like security, convenience and trust influence consumers’ intention. This indicates that industries and banks must verify users’ privacy norms and evaluate social trends to enhance user’s satisfaction and usage rate. Hedonism is determined as one of the significant variable to measure consumer’s satisfaction and usage tendency. Mobile technology providers should work on the appearances and design of the apps, and promote its convenience and benefits to increase its usage in North India. Based on the findings of this study, companies can also evaluate preferred wallet services for consumers, and factors affecting those services. This will help them to add more attractive services based on consumers’ feedback, and remove unwanted services. Social implications The study also stressed the impact of society and family/friends on mobile wallet’s usage. Customers learn new things from family and society and get influence with their choice and preferences. This will help institutions to understand various factors leads to mobile wallet usage and enhance the satisfaction level of customers. Originality/value Although various studies have been conducted on the perception of customers on various mobile payment systems, but this paper is the first of its kind to study customer’s perception about wallets and type of transactions; they prefer to do through mobile wallets. This paper also study the impact of mobile wallet usage and various factors affecting the usage rate. This paper also identified one crucial factor, “hedonism”, which is not discussed thoroughly in the literature, and its significance in North India.

Factors affecting performance of co-operatives in Malaysia

2016 ◽  
Vol 65 (5) ◽  
pp. 641-671 ◽  
Author(s):  
Hafizah Hammad Ahmad Khan ◽  
Mahazril 'Aini Yaacob ◽  
Hussin Abdullah ◽  
Siti Hajar Abu Bakar Ah
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Intangible Assets ◽  
Pearson Correlation ◽  
Content Type ◽  
Factors Affecting ◽  
Structural Capital ◽  
The Impact

Purpose – The purpose of this paper is to investigate the factors affecting co-operatives performance by focussing on the roles of its intangible assets which are in the form of intellectual capital and members’ participation. Design/methodology/approach – Questionnaires have been distributed among co-operatives board of members of the 100 best co-operatives in Malaysia. This study used Pearson correlation and multiple regression analysis to examine the impact of intellectual capital and members’ participation on the co-operatives performance and determine the most influencing factors that affect the performance. Findings – Results showed that there is a positive relationship between structural capital, relational capital and members’ participation with the co-operatives performance while human capital has been found to have a negative relationship. This is further supported by the findings based on the multiple regression analysis whereby all the independent variables were found to be significant expect for structural capital. Based on the findings, this study proposed a model for co-operatives’ performance which is based on its intangible assets. Practical implications – Findings of this study would provide guidance for the co-operatives sector to improve its performance and indirectly help the government in realizing the nation economic goals. Originality/value – This study provided a better understanding on the performance of the co-operatives by focussing on the roles of its intangible assets. Apparently, there are very limited studies on intellectual capital which is based on co-operative framework and thereby this present study would fill in the gap. In addition, due to the objective of the co-operatives which differs from other types of organization, findings of this study might provide significant contribution on the study of intellectual capital.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Análise da relação entre O3, NO e NO2 usando técnicas de regressão linear múltipla.

GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Nitrogen Dioxide ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Environmental Pollutant ◽  
Environmental Research ◽  
Linear Regression Models ◽  
Mato Grosso ◽  
The Impact

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

scholarly journals Understanding consumer loyalty to technology-based self-services with credence qualities

2015 ◽  
Vol 29 (6/7) ◽  
pp. 522-532 ◽  
Author(s):  
Lisa Schuster ◽  
Judy Proudfoot ◽  
Judy Drennan
Keyword(s):  
Professional Services ◽  
Content Type ◽  
Consumer Responses ◽  
Factors Affecting ◽  
Behavioral Loyalty ◽  
Behavioral Domain ◽  
Continued Use ◽  
Self Service ◽  
The Impact ◽  
Goal Directed Behavior

Purpose – This paper aims to use the Model of Goal-Directed Behavior (MGB) to examine the factors affecting consumers’ continued use of emerging technology-based self-services (TBSSs) with credence qualities. Professional services, which traditionally require specialized knowledge and high levels of interpersonal interaction to produce owing to their credence qualities, are increasingly delivered via self-service technologies. Health services delivered via mobile devices, for example, facilitate self-care without direct involvement from health professionals. Design/methodology/approach – A mental health service delivered via the Internet and mobile phone, myCompass, was selected as the research context. Twenty interviews were conducted with users of myCompass and the data were thematically analyzed. Findings – The findings of the study showcase the unique determinants of consumers’ continued use of TBSSs with credence qualities relative to the more routine services which have been the focus of extant research. The findings further provide support for the utility of the MGB in explaining service continuance, although the importance of distinguishing between extrinsic and intrinsic motivational components of behavioral desire and capturing the impact of social influence beyond subjective norms is also highlighted. Originality/value – This study contributes to recent research examining differences in consumer responses across TBSSs and behavioral loyalty to these services. It also provides empirical evidence for broadening and deepening the MGB within this behavioral domain.

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