Why Does Indonesia Have a High Covid-19 Case-Fatality Rate?

The COVID-19 pandemic has taken the world by storm, but the magnitude of its impact differs from country to country. As of August 2020, Indonesia’s COVID-19 case-fatality rate is higher than the world average. The aim of our research is to find out why Indonesia has a high COVID-19 case-fatality rate. Using OLS regression models, we found the number of COVID-19 related deaths, the number of COVID-19 tests performed, population age, population, voice and accountability index, and control of corruption index are significant predictors of a country’s COVID-19 case-fatality rate. Based on our results, we conclude that Indonesia’s COVID-19 case-fatality rate is higher than it is supposed to be, mainly because of a lack of COVID-19 testing and accurate public information.

Effectiveness Economic Welfare Through Bansos During Covid-19 in Payakumbuh City

The purpose of this study was to determine the effectiveness of mitigating the economic vulnerability of the community through the allocation of social assistance during the Covid-19 pandemic in Payakumbuh City. The data used are primary data and secondary data. Collecting data in the form of observation, documentation and interviews with a sample size of 100 respondents. The analytical method used is descriptive qualitative. The results of the analysis show 1) the input aspect with an effectiveness ratio of 60% and 65% can be said to be quite effective, meaning that KPM is right on target and utilizes social assistance appropriately for the economic benefit of the community in the midst of the Covid-19 outbreak. 2)which consists of socialization and monitoring, each with an effectiveness ratio of 100%. 3) the output aspect of social welfare with an indicator of the level of fulfillment of needs where the percentage obtained is 74% in the category of economic welfare which is quite effective.

Factors Affecting the Composite Stock Price Index during Covid-19 Pandemic Crisis

This paper aims to analyze factors affecting the Composite Stock Price Index (IHSG) on the Jakarta Stock Exchange (IDX) during the Pademi Corona Crisis. This study uses the multiple linear regression analysis technique where the variable number of confirmed Covid-19 cases in the world, the number of confirmed Covid-19 cases in Indonesia, the Rupiah exchange rate per 1 US dollar, and the world crude oil price are used as independent variables (X) and the IHSG as the dependent variable (Y), the data used in this study are weekly time series data from the period December 2019 to September 2020. Based on the results of variable regression between the IHSG, Exchange Rates, Oil Prices, cases of COVID-19 in Indonesia and COVID-19 World, It is concluded that collectively the independent variables have a significant effect on the IHSG. Partially, Oil Prices, COVID-19 cases in Indonesia and COVID-19 cases in the world have a significant effect on the IHSG. Meanwhile, the exchange rate has no significant effect on the IHSG.

Technology Transformation: Promoting Sustainable Indonesia MSMEs and Cooperative by Digitalization

This research was conducted to find out what steps the government has taken in striving for society to be 'digital literate', what obstacles are faced and what digital forms have been implemented by MSME players and cooperatives that have gone digital. The method used is an integrative review. The results of this study found that the government has tried various ways to make SMEs and cooperatives more “digitally literate”, from infrastructure, training to collaborating with related institutions and companies that have gone online first in terms of systems of operational (transaction), marketing and also payment. Obstacles to infrastructure and available facilities as well as the lack of information and human resource skills in utilizing digital are challenges faced by the government, SMEs and cooperatives. Therefore, better coordination from up to bottom is needed so that understanding and utilization of digital can be distributed evenly. For MSMEs and cooperatives that have “go digital”, found that they are still at the basic and intermediate levels, while the platforms used are still in the sharing economy, e-commerce, social media, cloud computing and other digital platforms related to applications to simplify transactions and operations.

Pandemic Impact of Covid-19 on Social - Economic Conditions in West Sumatera

This study aims to determine and analyze the impact of Covid-19 pandemic in terms of socio-economy based on the demographic characteristics of the people in West Sumatra. The data collection method is secondary data, namely data from West Sumatra Provincial BPS and Padang City BPS 2020. Data processing is descriptive quantitative. The discussion of the research analysis is explained in depth and the interpretation of the data is presented in a straightforward and detailed manner in order to produce conclusions containing short answers to the formulation of the problem based on the data that has been collected. The results of the study concluded that there were changes in the socio-economic conditions of the people of West Sumatra according to demographic characteristics due to the Covid-19 pandemic, including the emergence of new habits, workers being temporarily laid off, using restricted public transportation, implementing WFH at work, the service sector being the most affected. As a result of Covid-19, workers in the Wholesale and Retail Trade, Car and Motorcycle Repair, Transportation and Warehousing sectors, as well as the Accommodation and Food and Drink Provision sectors were the most affected, increasing spending and decreasing income.

The Household Food Insecurity Amidst the Covid-19 Pandemic in Indonesia

The Coronavirus Disease 2019 (Covid-19) pandemic creates both the demand and supply shocks problem that may affect the households’ food insecurity. Among mechanisms, it ranges from the limited physical access to food due to social distancing to the drop in economic access to food due to (partial) lockdown. This study aims to lay out an early warning assessment of the food security situation in Indonesia amidst the Covid-19 outbreak. We use the cartogram analysis which visualize the geographical features throughout the Indonesia archipelago, both in the small and big island setting. The analysis involves the use of both the simple score and latent measurement-based scale of the Rasch model for the food insecurity based on the Susenas data from 2017-2019. The finding reveals that there existed a variation of the household proportion that suffers from severe food insecurity across the Indonesia archipelago. The more eastern the island, the worse the measure is. Papua and Maluku suffer more from such condition compared to the other big islands. As the government has applied any containment measures, the surge in Covid-19 cases may potentially worsen both the existing households under severe food insecurity and even create new households under such conditions.

Public Behaviour on Cash Waqf: Evidence from Indonesia

Despite the potential governmental agenda towards cash waqf, this area has been givessn limited attention in academic literature with special regards to the supply side. Therefore, this study aims to investigate the factors influencing the public intention in endowing cash waqf by utilizing an extended theory of planned behaviors (TPB); in which religiosity, knowledge, and trust variables are added. Primary data from 685 respondents in Indonesia are analyzed using structural equation modeling (SEM). The result showed that the intention to endow cash waqf is positively affected by all of the TPB variables (attitude, subjective norms, and perceived behavioral control) and other extended variables. The findings suggest an optimization in waqf fund collection and waqf fund management. For waqf collection, it is important to improve public literacy and the quality and quantity of supporting facilities and systems. Meanwhile, institutional management should be strengthened for waqf management.

An Examination of Exchange Rates on Foreign Tourist Flows into ASEAN-3

This research aims to analyze the effect of exchange rates on foreign tourist flows in ASEAN-3. A fixed-effect model is used to estimate data from three ASEAN countries, namely: Indonesia, Malaysia, and Thailand from 1995 to 2016. The result shows that the exchange rate has a significant positive effect on foreign tourist flow. In other words, the depreciation of domestic currency increasing foreign tourist flow. Other control variables such as income per capita, HIV prevalence, trade, and consumer price index significantly affect a different sign.

Impact of Strengthening Internal Audit’s Roles towards State Budget Loss

This research evaluates the effect of strengthening government internal audit’s (APIP) roles on reducing state budget loss in Indonesia. Since 2014, the role of internal audit as a provider of objective quality assurance is strengthened by adding comprehensive consulting activities that are inherent in each cycle of state budget process to make sure that there are no irregularities on managing the stage budget. By using the difference-in-differences (DID) approach, this study analyzes state budget loss data obtained from the Audit Board of Republic of Indonesia (BPK) in 492 cities/districts during 2009-2018. The results show that strengthening internal audit’s roles decreased state budget losses in the regions that have a relatively high capital expenditure by 0.435% and it is significant at 1% level. This finding shows the positive effect of adding a consulting role to government internal audit on reducing the state budget losses in Indonesia.

The Impact of Climate Change on Economic Conditions: Evidence in Indonesia

Climate change has consequences and influences on agricultural productivity, especially in tropical areas such as Indonesia. Agricultural produce contributes to the level of Gross Domestic Product. Climate change is a challenge for the environment that has the most extensive impact on the economic, natural resources, and agricultural sectors, even as a concern for climate change on agricultural production. So it is needed to discuss climate change which has an impact on various sectors, especially the economic sector. This research was carried out during 2016-2018 using all provinces in Indonesia. This study uses panel data regression method, and the chosen model is the Fixed Effect Model (FEM) by displaying the effects of each region. The results of this study show that R-squared value is 0.990095 which means that 99% of independent variables collectively determine the value of GDP. Meanwhile, changes in temperature, increased rainfall, and increased air quality index partially have no effect on GDP. Only the extent of agricultural land area partially has a positive effect on GDP.