This research was conducted to review Islamic insurance within the scope of sharia economics both in terms of scientific research in the form of published journals and the sentiments of the Indonesian people in response to the development of Islamic insurance. The method used is descriptive bibliometric statistical analysis and sentiment analysis from secondary data in the form of more than 50 published papers in the past 5 years and primary data in the form of more than 100 questionnaire respondents from Jabodetabek area which are then processed using VOSViewer and SentiStrength. The results showed that the bibliometric mapping was divided into 5 clusters; cluster 1 consists of 6 topics, cluster 2 consists of 6 topics, cluster 3 consists of 5 topics, cluster 4 consists of 4 topics and cluster 5 consists of 3 topics. The results of the sentiment analysis show good sentiment (positive) by 24%, bad sentiment (negative) by 14% and the rest have neutral sentiment (neutral) 62%. This study is the first comprehensive study to discuss the sentiment analysis of the Islamic insurance theme with primary and secondary data.
The green economy is one of the new economic concepts still popular in research, emphasizing the balance between economic and environmental dimensions. The green economy concept is in line with the existing concept of Islamic finance. As a new concept, research related to a green economy is also developing. Therefore, this study aims to provide qualitative information on the development of green economy literature. There are 1183 papers in journal articles, book chapters, and conference papers indexed by the Scopus database from 1961-2021. We employed VOSViewer and Excel software to synthesize and analyze the data. This research is limited to the Scopus database related to the green economy. In addition, we identified the relevancies between the green economy and Islamic finance, and some research has been discussed these issues. Regarding the result obtained, we found that the rules in Islamic finance support the implementation of the green economy concept. Furthermore, we also found sukuk as a potential instrument in Islamic finance that can be utilized to promotes the green economy concept.
This research was conducted to review the perception of sharia fintech within the scope of the sharia economy from the perspective of sentiment research on Twitter social media users in response to the development of sharia fintech. The method used in this study is a qualitative approach with descriptive statistics from the literature study in the form of 2131 Twitter tweets. A Python library software called VADER (Valence Aware Dictionary and Sentiment Reasoner) is used to classify tweets. Sentiment analysis results tend to perceive neutral sentiment at 80.8%, positive sentiment at 16.2%, and negative sentiment at 3.0%. The diversity of sentiment results shows that there are pros and cons to the development of sharia fintech. The benefits of this research are literature and considerations related to the development of sharia fintech and efforts to identify weaknesses and threats in the form of negative perceptions of the implementation of sharia fintech. In addition, to find out positive perceptions, strengths, potential, and benefits of Islamic fintech. This research is the first comprehensive study to discuss sentiment analysis on sharia fintech themes with Twitter tweet data. Suggestions for further research and recommendations are listed.
This study intends to conduct a comparative test of efficiency of the 3 merged state-owned banks using 5 merged Simulation models which will be measured by the 2-stage Data Envelopment Analysis (2-stage DEA) method with Islamic banks and also conventional in Indonesia. This study uses a quantitative approach using the 2-Stages Data Envelopment Analysis (DEA) method. By using in the first stage this method can measure the efficiency score generated from the input and also the output that has been determined, among others, by inputs namely Savings, Administrative Costs, Personal Costs. The outputs used are Financing and Income. In the second stage the method used is Tobit Regression which will see whether there is an influence between the dependent variables determined on the efficiency score. The dependent variable consists of 2 types, namely macrobanks consisting of GDP, Inflation, and Interest Rate. While the other is the Microbank variable including NPF, FDR, and ROA. In this study, 5 combination simulations will also be examined, which will see which combination is the most efficient. From the results of the study, it was found that the efficiency of Islamic banking as a whole is still below the efficiency of conventional banking. Meanwhile, by using 5 simulations of the merger planned by the government, namely combining BRI Syariah, BNI Syariah, and Mandiri Syariah, it was found that the merger of the 3 banks is the most optimal option in terms of efficiency. In this study also found that the dependent variable that affects the efficiency score is the ROA variable. Meanwhile, for other variables, namely NPF, FDR, GDP, Inflation, and also Interest rate does not significantly affect the efficiency score.
Macroeconomic variables strongly influence investment decisions because macroeconomic variables can affect the stock market according to the country's economic conditions and government policies. The Covid-19 pandemic has harmed the economy of almost all countries in the world, including Indonesia. This study explores the effect of Covid-19 and various macroeconomic variables on Islamic stock prices in Indonesia, namely the Jakarta Islamic Index (JII), by analyzing monthly data from 2015 to 2020. This study uses the Vector Error Correction Model (VECM) to investigate the short-term and long-term effects of each macroeconomic variable and international stock index to the JII index. The results showed that the Covid-19 dummy variable significantly impacts the JII index in the short term. Meanwhile, inflation, exchange rates, money supply, the United States S&P 500 index, China's SSE index, and the Covid-19 dummy variable significantly affect the JII index in the long term. Long-term results show that inflation, exchange rates, the United States S&P 500 index, and the Covid-19 dummy variable harm the JII index. On the other hand, the money supply and China's SSE Index positively affect the JII index. This study confirms that Covid-19 can affect the decline in the Islamic stock index in Indonesia, at least the results of this study can be used as material for discussion and research on the economic impact of the Covid-19 pandemic by providing empirical evidence that the pandemic has a restrictive effect on the performance of the Islamic stock market in Indonesia.
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