scholarly journals How Does Digital Finance Affect Carbon Emissions? Evidence from an Emerging Market

2021 ◽  
Vol 13 (21) ◽  
pp. 12303
Author(s):  
Hui Zhao ◽  
Yaru Yang ◽  
Ning Li ◽  
Desheng Liu ◽  
Hui Li

The existing literature finds that finance has a significant impact on carbon emissions, but there is a lack of theoretical explanation on whether and how digital finance, an important new financial form, affects carbon emissions. This paper uses balanced panel data at the provincial level in China from 2011 to 2018 as a sample to empirically test the relationship between digital finance and carbon emissions and introduces three exogenous events to test the impact of policy shocks. The results show that digital finance has a significant inhibitory effect on carbon emissions; the implementation of the policies of ‘G20 High-Level Principles for Digital Financial Inclusion’, ‘Environmental Protection Tax Law of the People’s Republic of China’, and ‘Interim measures for the management of greenhouse gas voluntary emission reduction’ strengthens the suppression of carbon emissions by digital finance, and the robustness test also supports the protection of digital finance. The research conclusions of this article provide theoretical evidence for understanding the relationship between digital finance and other new financial formats and carbon emissions and provide an empirical basis for policy-makers to promote the development of digital finance to reduce carbon emissions.

2014 ◽  
Vol 11 (4) ◽  
pp. 399-411
Author(s):  
Qaiser Rafique Yasser ◽  
Abdullah Al-Mamun

We adopt a multi-theoretic approach to investigate a previously unexplored phenomenon in extant literature, namely the differential impact of ownership identity and director dominate shareholding on the performance of emerging market firms. The main research question addressed is, whether the impact of this relationship is conditional on the identity of the block investor. First, the relationship between overall block ownership and firm performance is tested by employing multiple regressions on 500 firm-year observations for the period from 2007 to 2011. Then, the block ownership is classified as the state, individuals, insiders, financial institutions, corporate and foreign investors and the influence of these identities on firm performance is examined. It was found that only the ownership categories such as the government, institutions and foreign ownership have positive influence on the firm performance. The results also indicate that high level of insider ownership also negatively associated with the firm performance. The main contribution of this paper is the examination of the relationship between block ownership and firm performance from the perspective of the identity of investors


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 152-152
Author(s):  
Afeez Hazzan

Abstract Family caregivers of older people living with dementia are relatives, friends, or neighbors who provide assistance related to this condition, but who are unpaid for the services they provide. Although caregiving could be personally rewarding, many caregivers report a high level of strain. Compared to caregivers of older adults who do not have dementia, family caregivers of older people living with dementia report lower quality-of-life (QoL). In a published systematic review examining the relationship between family caregiver QoL and the quality of care provided, only one study was found to be somewhat relevant. The study suggested that the primary reason for an absence of research into the link between family caregiver QoL and quality of care was the absence of a questionnaire for measuring quality of care in dementia. Therefore, any attempt to investigate the impact of caregiver QoL on the care provided to older people with dementia must first address the lack of an instrument to measure quality of care. To address this issue, we interviewed approximately 20 family caregivers in order to elicit feedback on measurements and interpretation of the quality of care provided by family caregivers of older people living with dementia. Content analysis of the interview transcripts revealed that the quality of relationships with family, caregiver availability to provide or supervise care, and availability of paid or volunteer help are important for the quality of care provided. These results have important implications, particularly for the development of an instrument to measure quality of care in dementia.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lei Li ◽  
Anrunze Li ◽  
Xue Song ◽  
Xinran Li ◽  
Kun Huang ◽  
...  

PurposeAs academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.Design/methodology/approachThe study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.FindingsThe findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.Originality/valueThis study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.


2021 ◽  
Vol 13 (2) ◽  
pp. 233-248
Author(s):  
Manogna R.L. ◽  
Aswini Kumar Mishra

Purpose The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure. Design/methodology/approach The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity. Findings The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms. Research limitations/implications This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries. Originality/value To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.


Author(s):  
Raúl Payá Castiblanque

The aim of this research was to study the relationship between the different levels of direct participation of workers (passive, consultative or active-delegated) in risk prevention management with the levels of absenteeism in Spain. To this end, a transversal study was carried out using microdata from the Second European Survey of Companies on New and Emerging Risks (ESENER-2-Spain, 2014) with a master population of 3162 work centres. A multinomial logistic regression model was carried out, with the dependent variable being the levels of absenteeism and the independent variables, the participation indicators and preventive management, calculating the adjusted odds ratio (aOR) between all the independent and control variables, with their corresponding 95% confidence intervals (95% IC). The results obtained showed how the active-delegative participation of workers in the design and adoption of psychosocial risk prevention measures reported 2.33 less probabilities of having a very high or fairly high level of absenteeism (aOR = 0.43; 95%IC:0.27–0.69). However, having documented aspects of preventive management (plan, risk assessment, planning measures) did not have any impact on absenteeism levels, which shows that we can fall into an unrealistic institutional mirage of security with active policies of co-education or co-management being necessary to reduce absenteeism.


2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>


2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.


2019 ◽  
Vol 7 (4) ◽  
pp. 371-376
Author(s):  
Syarul Azman Shaharuddin ◽  
Muhammad Yusuf Marlon ◽  
Mariam Abd Majid ◽  
Abur Hamdi Usman ◽  
Fakhri Sungit ◽  
...  

Purpose and problem of the study: This study to identify the level of impact of zakat distribution and the level of religious practice among the mualaf (convert) in Selangor. The aim is also to analyse the relationship between the level of impact of zakat distribution and the level of religious practice of mualaf in Selangor. The problem of the study is issues which related to the granting of zakat rights to Muslims and its impact on strengthening the faith of these groups and their appreciation of Islamic teachings. Methodology: This study applies quantitative methodology which involves 454 Muslim converts as respondents and they were randomly selected to get the data of this study. Main Findings: The descriptive analysis findings demonstrate that the level of impact of zakat distribution and the level of religious practice of mualaf in Selangor is at high level, where each has a mean value (4.20 and 4.63). The result of the Pearson correlation analysis proves that there is a significant relationship between the impact of the distribution (r = 0.643, p < 0.01) and religious practice (r = 0.677, p < 0.01).       Applications of this study: This study involves respondents from the mualaf group in Selangor. Selangor has chosen to be the area of study as the total number of muallaf registered in this state is greater than those in other states in Malaysia. Novelty/Originality of this study: The implementation of zakat distribution based on the principals and concepts dictated by Islamic law will give a great impact to the group of mualaf (convert). 


Author(s):  
Ravineet Kaur ◽  
Rakesh Kumar Sharma ◽  
Apurva Bakshi

Abstract. Marketers are increasingly relying on covert advertising tactics to persuade consumers. This empirical study selected the context of an emerging market to examine the effectiveness of product placements. Using an experimental design, we captured the affective and behavioral responses of young Indian adults. The results indicated that young adults are positive about product placements. The mediating role of brand attitude change in the relationship between attitude toward product placements and purchase intentions is established. The study provides valuable insights into the impact of execution factors on viewers’ responses. Implications and directions for future research are discussed based on the results of this study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jun Shao ◽  
Zhukun Lou ◽  
Chong Wang ◽  
Jinye Mao ◽  
Ailin Ye

PurposeThis study investigates the impact of AI finance on financing constraints of non-SOE firms in an emerging market.Design/methodology/approachUsing a sample of non-SOE listed companies in China from 2011 to 2018, this research employs the cash–cash flow sensitivity model to examine the effect of AI finance on financing constraints of non-SOE firms.FindingsWe find that the development of AI finance can alleviate the financing constraints of non-SOE firms. Further, we document that such effect is more pronounced for smaller firms, more innovative firms and firms in developing areas.Practical implicationsThis study suggests that emerging market countries can ease the financing constraints of non-SOE firms by promoting AI finance development.Originality/valueThis study, to the best of our knowledge, is the first one to explore the relationship between AI finance development and financing constraints of non-SOE firms in emerging markets.


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