Willingness to Purchase Green products: Evidence from Educated Segment of Southern Punjab

Purpose: In this study, we explore the influence of environmental concern on willingness to purchase green product of selected segment of educated consumers. Among environmental concern variables eco-labeling positive & significant and lack of knowledge has negative and significant related to the willingness to purchase green product. Design/Methodology/Approach: It is a questionnaire based survey. 500 questionnaires distributed among selected segment of educated consumers out of which 305 found suitable for empirical analysis. Logistic regression model was used to examine the connection between willingness to purchase green product and environmental concern variables (i.e. Environmental concern, comfort, eco-labeling and lack of knowledge). Findings: Logistic regression result suggest that environmental concern has negative and comfort has positive influence on willingness to purchase green product however relationship is insignificant. Eco-labeling has positive and significant impact on willingness to purchase green product. Lack of information has negative and significant impact on willingness to purchase green product. Implications/Originality/Value: So it is concluded that study has several practical implications, marketers and policy makers can adopt strategies to stimulate the segment of educated people for purchasing green product and reducing pollution.

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Do Informal Sector Businesses Support Women’s Livelihood? A Case of Butwal Sub-Metropolitan in Nepal

10.21203/rs.3.rs-70019/v1 ◽

2020 ◽

Author(s):

Jeevanath Devkota ◽

Devaka Devkota

Keyword(s):

Logistic Regression ◽

Qualitative Analysis ◽

Sample Size ◽

Informal Sector ◽

Women Entrepreneurs ◽

Income Level ◽

Primary Data ◽

Regression Result ◽

Pocket Money ◽

Logistic Regression Result

Abstract Informal sector business is rapidly increasing in Nepal. This paper examines the effect of informal businesses on women’s livelihood, which is not documented in the literature. This study uses primary data collected from the Butwal sub-metropolitan, Nawalparasi District, Province 5 of Nepal. Sample size is 300 women entrepreneurs. There is a positive correlation between income level and married as well as migrated women entrepreneurs. Logistic Regression result shows more educated women entrepreneurs are more likely to earn from their businesses in comparison to the less educated women. Qualitative analysis shows women are learning business doing skills. Most important, old aged women (around/over 60 years) should not depend on their son or daughter for bread and butter and for pocket money after starting such business.

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Role of Perceptions in Health Insurance Buying Behaviour of Workers Employed in Informal Sector of India

Global Business Review ◽

10.1177/0972150916666992 ◽

2017 ◽

Vol 18 (1) ◽

pp. 250-266 ◽

Cited By ~ 2

Author(s):

Pooja Kansra ◽

Harinder Singh Gill

Keyword(s):

Logistic Regression ◽

Health Insurance ◽

Informal Sector ◽

Low Income ◽

Vital Role ◽

Policy Makers ◽

Lack Of Information ◽

Buying Behaviour ◽

Urban Informal Sector

Health insurance can be an effective tool of personal protection. But India’s health insurance market still lags behind the other countries in terms of penetration. The present article identified the role of perceptions in the enrolment of health insurance among the urban informal sector of Punjab, India. First, data were obtained from the urban informal sector of Punjab. Then factor analysis was applied to identify the perceptions associated with enrolment of health insurance. After this, logistic regression was performed to determine the associations of identified perceptions with enrolment of health insurance. The present study identified 12 perceptions factors associated with health insurance enrolment of the informal sector in India. Out of the 12 factors, the logistic regression results proved that 8 were statistically significant influencers of health insurance enrolment decisions. The significant perceptions factors were lack of awareness about the need to buy health insurance; comprehensive coverage; income constraint; future contingencies and social obligations; lack of information; availability of subsidized government health care; linkage with government hospitals; and preference for government schemes. It was found that perceptions play a vital role in the household decisions to enrol for health insurance. Policy makers or marketers of health insurance policies should recognize the household perceptions as a potential barrier and try to develop a health insurance package as per the actual needs of the informal sector (low income) in India.

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Analysis of Factors Affecting BPJS Patients Choosing a Class of Care to VIP Room

JOURNAL FOR QUALITY IN PUBLIC HEALTH ◽

10.30994/jqph.v3i1.54 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Febrian Purwatiningrum

Keyword(s):

Logistic Regression ◽

Family Support ◽

P Value ◽

Regression Result ◽

Statistic Analysis ◽

Cross Sectional ◽

Factors Affecting ◽

Independent Variables ◽

Logistic Regression Result ◽

Independent Variable

The increase of assurance participant, impact to increase inpatient at hospital. Some of participant choose to upgrade their treatman class, really if they don’t upgrade treatmen class they don’t need to pay more for their treatman. Purpose of this research are analysis factors that influence behaviour to upgrade class treatmen to VIP class at dr.Iskak hospital that include of perception, knowledge,income, and family support.This is a kuantitatif reseach with approch cross sectional. The population was all BPJS patient that treat at VIP dr. Iskak hospital Tulung Agung since 1st June until 31 of July 2018. Sample of research were some of BPJS patients that treated at VIP class dr.Iskak hospital Tulungagung = 182.The data collect by simple ramdom sampling. Independent variables are Perception, Income,Knowledge, Family Support. Dependent variable is Upgrade treatment class to VIP. Statistic analysis with logistic regression. Result of the research, all of independent variable are simultanetaneously influence BPJS patient choosing to upgrade treatmen class to VIP class at dr.Iskak hospital Tulungagung p value=0,008. In partial, perception p-value 0,956 ( >0,05 ), income p-value 0,001 ( <0,05 ), knowledge p-value 0,854 ( >0,05 ), family support p-value 0,021 (< 0,05).In this research, income and family support are influencing BPJS patient to upgrade treatmen class. But perception and knowledge are not influencing. And the dominan factor is income. Without good income, behaviour upgrade class treatmen not going to do

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THE RISK FACTOR TOWARDS CHILDBIRTH WITH CAESAREAN (SECTION)

10.31227/osf.io/zfa5v ◽

2018 ◽

Author(s):

ANDI NURAINA SUDIRMAN

Keyword(s):

Logistic Regression ◽

Risk Factor ◽

Caesarean Section ◽

Antenatal Care ◽

Control Design ◽

Case Control ◽

P Value ◽

Regression Result ◽

Statistic Analysis ◽

Logistic Regression Result

Caesarean (section) is one way of childbirth by giving the surgery acted. According to the Base of Heath Research (Riskesdas) 2010, the number of Caesarean (section) in Indonesia has passed maximal limit of WHO standard that is 5 – 15 %. Therefore, a research has been held to see the risk factor towards childbirth with Caesarean (section) at Sitti Khadijah mom and baby hospital, Gorontalo. Type of this research is analytic by using case control design with sample is that consist of 68 cases and 68 control. The data is analyzed by statistic analysis logistic regression. Result of the research shows that parity, distance between pregnancy, check-up of antenatal care and disease complication history have risk towards childbirth with Caesarean (section). The variable that is more risky towards childbirth with Caesarean (section) is the disease complication history with p value = 0,000 (Cl 95 %) and OR value = 9,430 (3,861 – 23,035). Suggested for health parties to be more active in promotion program about childbirth, check-up of antenatal care, etc. in the way of deciding the policy in selecting Caesarean (section).

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Why Not Green Marketing? Determinates of Consumers’ Intention to Green Purchase Decision in a New Developing Nation

Sustainability ◽

10.3390/su12197880 ◽

2020 ◽

Vol 12 (19) ◽

pp. 7880 ◽

Cited By ~ 3

Author(s):

Md. Nekmahmud ◽

Maria Fekete-Farkas

Keyword(s):

Structural Equation ◽

Environmental Concern ◽

Perceived Quality ◽

Negative Influence ◽

Positive Influence ◽

Green Marketing ◽

Purchase Decision ◽

Purchase Decisions ◽

Green Products ◽

Willingness To Purchase

Consumers are paying close attention to green products to reduce the environmental impact on health issues. As the scope of this research, this current study focuses on determining consumers’ purchase decisions regarding green products using a survey conducted in a fast-growing developing country. This research was descriptive and considered a conceptual framework for extending the Theory of Planned Behavior (TPB), which was selected as the primary theoretical model. The significant contributions and main objectives of this study are as follows—to explore the present scenario of green marketing in Bangladesh with previous studies, and to fill a research gap regarding green purchase decisions by applying the TPB model with adding additional constructs, such as environmental concerns, green perceived quality, and future green estimates. A range of qualitative and quantitative techniques were adopted to collect data from the target groups, where a sample of young educated Bangladeshi consumers (n = 638) was used to consider the measurement and structural models by applying a partial least squares-structural equation modelling (PLS-SEM) method. The empirical findings show that consumers’ environmental concern (EC), green perceived benefits (GPB), green awareness of price (GAP), green willingness to purchase (GWP), and future estimation of green marketing (GFE) have a strong positive influence on consumer’ green purchase decision (GPD). Still, the green perceived quality (GPQ) has a negative influence on green purchase decisions (GPD). To inform consumers about green or eco-friendly products, this study provides valuable suggestions to companies, marketers, and policymakers for designing green marketing tools such as green advertising, green branding, and eco-labels. Based on these findings, it gives some managerial insights for the promotion of green products and green marketing.

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The Structural Equation Models Of Environmental Concern and Knowledge To Green Trust and Green Purchase Intention Towards Green Products (Guideliness)

10.31227/osf.io/sqm28 ◽

2018 ◽

Author(s):

rizka zulfikar

Keyword(s):

Structural Equation Model ◽

Purchase Intention ◽

Structural Equation ◽

Goodness Of Fit ◽

Environmental Concern ◽

Equation Model ◽

Environmental Knowledge ◽

Green Product ◽

Green Trust ◽

Fit Index

This research aims to find a structural equation model that can explain the relationship and influence of the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product. This study is a survey research using questionnaires as an instrument. Population and sample used in this study is public of South Kalimantan Province and taken as many as 150 respondents using non-purposivesampling method. The analysis technique used are : the instruments test, the construct validity and reliability test, the suitability of the model based on the goodness of fit index, pathways analysis and the Influence test according to the model of SEM that complies with the goodness of fit index to determine the effect of variable perception value and risk to public trust. The study found that: (1) Structural equation model of the correlation between the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product are comply with the criteria and standards of goodness of fit index, (2) (3) (4)

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Analyzing Regional Geographic Challenges: The Resilience of Chinese Vineyards to Land Degradation Using a Societal and Biophysical Approach

Land ◽

10.3390/land10020227 ◽

2021 ◽

Vol 10 (2) ◽

pp. 227

Author(s):

Yang Yu ◽

Jesús Rodrigo-Comino

Keyword(s):

Soil Erosion ◽

Land Degradation ◽

Environmental Concern ◽

Point Of View ◽

Irreversible Damage ◽

Erosion Rates ◽

Erosion Processes ◽

Lack Of Information ◽

Scientific Hypothesis ◽

Vineyard Soil

Land degradation, especially soil erosion, is a societal issue that affects vineyards worldwide, but there are no current investigations that inform specifically about soil erosion rates in Chinese vineyards. In this review, we analyze this problem and the need to avoid irreversible damage to soil and their use from a regional point of view. Information about soil erosion in vineyards has often failed to reach farmers, and we can affirm that to this time, soil erosion in Chinese vineyards has been more of a scientific hypothesis than an agronomic or environmental concern. Two hypotheses can be presented to justify this review: (i) there are no official and scientific investigations on vineyard soil erosion in China as the main topic, and it may be understood that stakeholders do not care about this or (ii) there is a significant lack of information and motivation among farmers, policymakers and wineries concerning the consequences of soil erosion. Therefore, this review proposes a plan to study vineyard soil erosion processes for the first time in China and develop a structured scientific proposal considering different techniques and strategies. To achieve these goals, we present a plan considering previous research on other viticultural regions. We hypothesize that the results of a project from a regional geographic point of view would provide the necessary scientific support to facilitate deriving guidelines for sustainable vineyard development in China. We concluded that after completing this review, we cannot affirm why vine plantations have not received the same attention as other crops or land uses.

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Predictors of Quality Internship Programs—The Case of Romanian Business and Administration University Education

Sustainability ◽

10.3390/su10124741 ◽

2018 ◽

Vol 10 (12) ◽

pp. 4741

Author(s):

Cristian Marinaș ◽

Simona Goia (Agoston) ◽

Ramona Igreț ◽

Laura Marinaș

Keyword(s):

Positive Influence ◽

Third Parties ◽

University Education ◽

Business Professionals ◽

Policy Makers ◽

Future Potential ◽

Main Factors ◽

Internship Programs ◽

Economic Studies

To a large extent, research regarding internship programs emphasizes their crucial role in the future career of students. Business professionals and educators acknowledge the positive influence in the engagement of companies towards future potential employees. However, the quality of these internship programs in Romania is sometimes questionable and further research is needed in the field. Our paper aims at identifying and analyzing the main factors which influence the quality of an internship program from Romanian business and administration students’ perspective. The findings and analysis of the current paper are based on a survey conducted on 458 undergraduate and master students of the Bucharest University of Economic Studies. By acknowledging these qualitative factors, third parties such as policy makers in educational sector, universities, and companies receive important information to better organize internships in order to meet students’ expectations and discover real high potential candidates.

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Αποτίμηση κινδύνων των ευρωπαϊκών τραπεζών και συστήματα έγκαιρης προειδοποίησης

10.12681/eadd/44525 ◽

2018 ◽

Author(s):

Παντελής Σταυρούλιας

Keyword(s):

Logistic Regression ◽

Discriminant Analysis ◽

Cross Validation ◽

Multinomial Logistic Regression ◽

Classification Tree ◽

Probit Regression ◽

Macroprudential Policy ◽

Policy Makers ◽

Out Of Sample ◽

Sample Testing

Οι έγκυρες προβλέψεις χρηματοοικονομικών κρίσεων διασφάλιζαν ανέκαθεν την σταθερότητα τόσο ολόκληρου του χρηματοοικονομικού οικοδομήματος γενικότερα, όσο και του τραπεζικού τομέα ειδικότερα. Με την παρούσα διατριβή επιτυγχάνεται η πρόβλεψη συστημικών τραπεζικών κρίσεων για χώρες της EE-14 αρκετά τρίμηνα προτού αυτές γίνουν αντιληπτές με την χρησιμοποίηση των πιο διαδεδομένων μεταβλητών (μακροοικονομικών, τραπεζικών και αγοράς) μέσω δύο προσεγγίσεων, της δυαδικής και της πολυεπίπεδης. Ακολουθώντας τη δυαδική προσέγγιση, εξάγονται μοντέλα ταξινόμησης με την εφαρμογή της Διακριτής Ανάλυσης (Discriminant Analysis), της Γραμμικής Παλινδρόμησης (Linear Regression), της Λογιστικής Παλινδρόμησης (Logistic Regression) και της Παλινδρόμησης Πιθανοομάδας (Probit Regression), για την έγκαιρη πρόβλεψη των κρίσεων -12 έως -7 τρίμηνα πριν την εμφάνισή τους. Επιπροσθέτως, συγκρίνεται η απόδοση της ανωτέρω ανάλυσης χρησιμοποιώντας τις νεότερες και πλέον υποσχόμενες μεθόδους του Δέντρου Ταξινόμησης (Classification Tree), του Τυχαίου Δάσους (Random Forest) και της C5. Ταυτόχρονα προτείνεται ένα νέο μέτρο επιλογής κατωφλίων και απόδοσης προσαρμογής (GoF) των μοντέλων πρόβλεψης και μια νέα συνδυαστική (combined) μέθοδος ταξινόμησης. Προκειμένου να διερευνηθεί η απόδοση της ανωτέρω ανάλυσης, χρησιμοποιείται ο εκτός του δείγματος έλεγχος (out-of-sample testing) με τη μέθοδο της ανά χώρα σταυρωτής επικύρωσης (country-blocked cross validation). Σύμφωνα με τη μέθοδο αυτή, πραγματοποιείται η ανάλυση και εξάγονται τα μοντέλα πρόβλεψης με τη χρήση των δεκατριών από τις δεκατέσσερις χώρες του δείγματος (in-sample), εφαρμόζονται τα εξαγόμενα μοντέλα για την δέκατη τέταρτη χώρα που είχε εξαιρεθεί από το αρχικό δείγμα (out-of-sample) και ελέγχονται τα αποτελέσματα πρόβλεψης με τα πραγματικά δεδομένα της χώρας αυτής. Η παραπάνω διαδικασία επαναλαμβάνεται δεκατέσσερις φορές, αφήνοντας δηλαδή κάθε φορά μια χώρα εκτός δείγματος και τελικά εξάγεται ο μέσος όρος των επαναλήψεων. Στην παρούσα διατριβή, και χρησιμοποιώντας τον εκτός του δείγματος έλεγχο, επιτυγχάνεται η κατά 82.4% σωστή ταξινόμηση (Ακρίβεια – Accuracy), 78.4% ποσοστό Αληθινών Θετικών (Τrue Ρositive Rate - TPR) και 80.6% ποσοστό Θετικής Τιμής Πρόβλεψης (Positive Predictive Value - PPV). Σύμφωνα με την πολυεπίπεδη προσέγγιση, διακρίνονται δύο επίπεδα-περίοδοι πρόβλεψης των Συστημικών Τραπεζικών Κρίσεων. Το πρώτο επίπεδο ονομάζεται έγκαιρη πρόβλεψη (early warning) και αφορά περίοδο -12 έως -7 τρίμηνα πριν την έλευση της κρίσης ενώ το δεύτερο επίπεδο ονομάζεται καθυστερημένη πρόβλεψη (late warning) και αφορά περίοδο -6 έως -1 τρίμηνα πριν την έλευση της κρίσης. Για την πολυεπίπεδη αυτή ταξινόμηση, γίνεται χρήση των Νευρωνικών Δικτύων (Neural Networks), της Πολυωνυμικής Λογιστικής Παλινδρόμησης (Multinomial Logistic Regression) και της Πολυεπίπεδης Γραμμικής Διακριτής Ανάλυσης (Multinomial Discriminant Analysis). Εφαρμόζοντας τον ίδιο εκτός του δείγματος έλεγχο με την πρώτη προσέγγιση επιτυγχάνεται η κατά 85.7% σωστή ταξινόμηση με την βέλτιστη μέθοδο που αποδεικνύεται ότι είναι η Πολυεπίπεδη Γραμμική Διακριτή Ανάλυση. Εφαρμόζοντας την ανωτέρω ανάλυση, οι ενδιαφερόμενοι φορείς άσκησης πολιτικής (policy makers) μπορούν να ανιχνεύσουν την ύπαρξης κρίσης σε βάθος χρόνου έως τριών ετών με τα προτεινόμενα μοντέλα, χρησιμοποιώντας μόνο δεδομένα που υπάρχουν ελεύθερα προσβάσιμα στο κοινό, ασκώντας με τον τρόπο αυτό την κατάλληλη ανά περίπτωση μακροπροληπτική πολιτική (macroprudential policy).

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PENGARUH KARAKTERISTIK IBU DAN PELAYANAN ANTENATAL CARE TERHADAP KEJADIAN BAYI BERAT LAHIR RENDAH DI KLINIK PRATAMA BERTA TAHUN 2015

Elisabeth Health Jurnal ◽

10.52317/ehj.v1i2.199 ◽

2016 ◽

Vol 1 (2) ◽

pp. 37-47

Author(s):

Juliana Ambarita ◽

Merlina Sinabariba

Keyword(s):

Logistic Regression ◽

Antenatal Care ◽

Pregnant Women ◽

Birth Spacing ◽

Observational Research ◽

Easy Access ◽

Regression Result ◽

Multiple Logistic Regression ◽

Number Of Visits ◽

Maternity Clinic

Babies born with low birth weight (LBW) are babies born with weight ≤ 2500 grams. The causes of LBW are age, birth spacing, education, antenatal care. Goals : This study aims to analyze the influence of mother characteristics (education, maternal age, age of pregnancy, parity and distance between births) and antenatal care service (ANC) (number of visits and 7T examination components) to events at Primary Maternity Clinic Berta. Methods : This type of research is an observational research using cross sectional design approach. The population is all mothers giving birth at Maternity Clinic Pratama Berta 172 people. The sample amounted to 153 people with simple random sampling technique. Analysis of data with Chi Square and Multiple Logistic Regression (multiple logistic regression). Result : The results showed that the incidence of BBLR of 11.1%. Multiple logistic regression results stated the distance between births (p = 0.027) and the number of visits (p = 0.042) had an effect on the occurrence of LBW. The Exp value (B) of the birth distance is 3.386, so it can be concluded that pregnant women whose birth distance <24 months have 3 times greater probability of baby experiencing LBW and Exp (B) ANC service amounted to 8,496, so it can be concluded that pregnant women His ANC service is not good has a probability 8,496 times larger the baby has LBW. Conclution : For Employees at the Maternity Clinic, Berta provides easy access to ANC services and conducts reproductive health education for pregnant women about the health of pregnant women, the importance of ANC testing during pregnancy and the importance of using long-term contraceptives to regulate birth spacing.

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