Dataset Information

A model of green investment decision making for societal well-being.

ABSTRACT: To ensure the sustainable development, the sustainable capital market comes into picture as companies require substantial amount to develop or implement the green initiatives. The main purpose of this study is to examine the motivational factors to trust and trust to the intention to invest in the green initiatives companies among Malaysia retail investors. Partial least square modelling technique is employed to perform the data analysis. The findings suggested that the greater control as perceived by investors, the greater the trust towards investing in green initiatives companies. The element of trust appeared to be critical to encourage investors to invest in companies with green initiatives. In other words, trust has become the key component to ensure the sustainable capital among the green initiatives companies. Hence, the finding suggested the companies' management to promote the green incentive activities to create awareness among the investors. Finally, collaboration between companies and policy makers played an importance role in encouraging investment among investors towards green initiatives companies.

SUBMITTER: Chan KH

PROVIDER: S-EPMC9379570 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A model of green investment decision making for societal well-being.

Chan Kar Hoong KH Chong Lee Lee LL Ng Tuan Hock TH Ong Wan Ling WL

Heliyon 20220730 8

To ensure the sustainable development, the sustainable capital market comes into picture as companies require substantial amount to develop or implement the green initiatives. The main purpose of this study is to examine the motivational factors to trust and trust to the intention to invest in the green initiatives companies among Malaysia retail investors. Partial least square modelling technique is employed to perform the data analysis. The findings suggested that the greater control as percei ...[more]

PMID: 35982845

Similar Datasets

Project description:ObjectiveWe assessed the association between household decision-making and mental well-being among Asian immigrant women residing in Korea. We also investigated if the impact varies by the regional origin and examined potential factors for joint decision-making.MethodsWe conducted a cross-sectional study using the Korean National Survey of Multicultural Families 2015 and logistic regression. We analyzed data from 11,188 married immigrant women ages 20 to 59 who were originally from East Asia or Southeast/South Asia and co-living with their spouses. We defined households as joint-decision, wife-decision, or husband-decision based on who decides how living expenses are spent. Mental well-being encompassed a depressive mood for two consecutive weeks, and life and marital satisfaction.ResultsAfter controlling for covariates, we showed that immigrant women in husband-decision households were more likely to have depressive mood (odds ratio [OR] 1.26, 95% confidence interval [CI]: 1.14-1.38), poorer life satisfaction (OR 1.49, 95% CI: 1.24-1.78), and poorer marital satisfaction (OR 1.81, 95% CI: 1.47-2.22) than women in joint-decision households. Immigrant women in wife-decision households had a similar but slightly lower odds of poor mental well-being. This association was less prominent for Southeast/South Asian origin than East Asian origin, while the age-adjusted prevalence rates of poor mental well-being among them were higher than their East Asian counterparts. Factors that restricted the odds of husband-decision did not necessarily guarantee wife-decision.ConclusionsThis study suggests one-sided decision-making can be a risk factor for immigrant women's poor mental well-being, while joint decision-making is protective. Differences across regional origins suggest domestic decision-making might be a less important predictor for mental well-being in immigrants more occupied with adapting to the host society. Factors for joint decision-making should be addressed to improve the mental well-being of immigrant women.

Project description:Considering the risk aversion characteristics of supply chain members, how to effectively design the government subsidy strategy and green supply chain strategy is a realistic and urgent issue. Regarding this, we optimize and compare four three-stage Stackelberg game models between government and a two-echelon green supply chain, namely both manufacturer and retailer risk neutral (BN), manufacturer risk aversion while retailer risk neutral (MA), retailer risk aversion while manufacturer risk neutral (RA) and both manufacturer and retailer risk aversion (BA). The government as the leader decides the subsidy rate of green input cost with the goal of maximizing social welfare; the manufacturer as the first follower makes decisions on product greenness and wholesale price to maximize its own interests; and the retailer as the second follower determines retail prices to maximize its own interests. Employing mathematical reasoning and numerical simulation investigate thoroughly the effects of the government subsidies and the members' risk aversion. Results indicate that an appropriate government subsidy investment has a positive effect on optimal decisions and related benefits. Risk aversion is in favor of improvement of product greenness and social welfare while reduction of retail price. With the increase of manufacturer risk aversion, green subsidy investment rate and retailer expected revenue increase; on the contrary, the wholesale price and manufacturer expected revenue decrease. With the increase of retailer risk aversion, the wholesale price and manufacturer expected revenue increase, while green subsidy investment rate and retailer expected revenue decrease. In the model of BN, product greenness and social welfare are the lowest, while retail price is the highest. BA is opposite to BN. In the model of RA, green subsidy investment rate and retailer expected revenue the lowest, while wholesale price and manufacturer expected revenue the highest. RA is opposite to MA. The government should formulate appropriate subsidy policies to encourage manufacturers to produce green products and raise consumers' green awareness. Enterprises should control their own risk aversion and assess the risk aversion of the other party reasonably.

Project description:BackgroundAlthough previous studies have shown that a high level of health literacy can improve patients' ability to engage in health-related shared decision-making (SDM) and improve their quality of life, few studies have investigated the role of eHealth literacy in improving patient satisfaction with SDM (SSDM) and well-being.ObjectiveThis study aims to assess the relationship between patients' eHealth literacy and their socioeconomic determinants and to investigate the association between patients' eHealth literacy and their SSDM and well-being.MethodsThe data used in this study were obtained from a multicenter cross-sectional survey in China. The eHealth Literacy Scale (eHEALS) and Investigating Choice Experiments Capability Measure for Adults were used to measure patients' eHealth literacy and capability well-being, respectively. The SSDM was assessed by using a self-administered questionnaire. The Kruskal-Wallis one-way analysis of variance and Wilcoxon signed-rank test were used to compare the differences in the eHEALS, SSDM, and Investigating Choice Experiments Capability Measure for Adults scores of patients with varying background characteristics. Ordinary least square regression models were used to assess the relationship among eHealth literacy, SSDM, and well-being adjusted by patients' background characteristics.ResultsA total of 569 patients completed the questionnaire. Patients who were male, were highly educated, were childless, were fully employed, were without chronic conditions, and indicated no depressive disorder reported a higher mean score on the eHEALS. Younger patients (SSDM≥61 years=88.6 vs SSDM16-30 years=84.2) tended to show higher SSDM. Patients who were rural residents and were well paid were more likely to report good capability well-being. Patients who had a higher SSDM and better capability well-being reported a significantly higher level of eHealth literacy than those who had lower SSDM and poorer capability well-being. The regression models showed a positive relationship between eHealth literacy and both SSDM (β=.22; P<.001) and well-being (β=.26; P<.001) after adjusting for patients' demographic, socioeconomic status, lifestyle, and health status variables.ConclusionsThis study showed that patients with a high level of eHealth literacy are more likely to experience optimal SDM and improved capability well-being. However, patients' depressive status may alter the relationship between eHealth literacy and SSDM.

Dataset Information

A model of green investment decision making for societal well-being.

Publications

A model of green investment decision making for societal well-being.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets