Innovation And Entrepreneurship For Competitiveness In The ASEAN: An Empirical Analysis

ASEAN economies face new challenges in achieving sustainable, inclusive development, namely entrepreneurial innovation, impacting ASEAN's competitiveness. This research investigates the relationship between the power of innovation, entrepreneurship, and national competitiveness at the ASEAN country level. This study also examines how innovation and entrepreneurship can affect a country's competitiveness and inclusive development. The results of the comparative analysis based on means-testing using an independent sample t-test at the ASEAN level show a significant difference between the group of countries with a low-medium level of innovation ability and the group of countries with a high level of innovation ability. High levels of innovation imply that these countries have high competitiveness, entrepreneurship, and inclusive development levels. Meanwhile, the regression and correlation analysis results show that several ASEAN countries have high national competitiveness due to high levels of innovation, entrepreneurship, and inclusive development. The findings of this study may help develop policies to boost national competitiveness in inclusive growth.

Investors Reaction to Bad News of COVID 19 (Evidence for Food and Beverage stocks: Comparison between IDX and BIST)

The study aims to examine the reaction of stock investors in the food and beverage sub-sector to the announcement of COVID-19 on the Indonesia Stock Exchange (IDX) and the Turkish Istanbul Exchange (BIST). The approach method is an Event Study by comparing the return and volume of trading activity before and after the announcement of COVID-19 on the Indonesian and Turkish Stock Exchanges. The research sample is 32 IDX stocks and 27 BIST stocks. Observation period 13 weeks before and after the announcement. The distribution of the data is the basis for the selection of hypothesis testing. The study results showed that IDX investors reacted positively to the announcement of the COVID-19 pandemic, where stock returns were higher than before. Likewise, VTA was higher after the information, although not significant. Meanwhile, on the Turkish Stock Exchange, investors' positive reactions were shown by stock returns and trading volume activity, which was significantly higher after the COVID-19 announcement than IDX, which tends to stagnate.

Effect of Education and Unemployment on Poverty in Jambi Province

This study aimed to determine the effect of education and unemployment on poverty in Jambi Province. This study uses quantitative methods to analyze the impact of the average length of schooling, expected years of schooling, and the open unemployment rate on poverty in Jambi Province for the 2017-2019 period. The subjects of this study were residents of every district and city in Jambi Province. The type of data in this study is secondary data obtained and collected indirectly from the object under investigation. The things of this research are nine districts and two cities in Jambi province for the period 2017-2019 from the official portal of the Central Statistics Agency (BPS) Jambi Province. The data used are the average length of schooling (RLS), expected years of education (HLS), and the open unemployment rate (TPT), and the number of poor people in Jambi Province in the 2017-2019 period. The results of the study show that education and unemployment simultaneously affect poverty in Jambi Province

Testing Of Economic Convergence In The Middle Of The Covid-19 Pandemic

This study aims to see whether the process of export and import convergence occurs with the control variable of the size of the country's economy affected by the COVID-19 pandemic as measured by GDP and spatial interactions. The method of analysis in this study uses the Spatial Dynamic Panel. The research objects are 64 countries affected by the COVID-19 pandemic—data taken in the period 2019q4-2020q3. The results show that GDP and spatial elements influence the process of export and import convergence. The speed of convergence and the length of time to reach a steady-state, imports are better than exports reaching 28-38% with about one semester and reaching 15-16% with a duration of 1 year (export model). Exports and imports during the COVID-19 pandemic reflect interactions between countries, with distance as a determining factor. However, the role of interaction between countries tends to be insignificant in the long run.

Analysis of Cooperative Development on Economic Performance in Padang Munipacility 2012-2019

This research aimed to analyze the influence of Cooperative Development on Economic Performance and Public Welfare in Padang Municipality and analyze the indirect and direct effect of Economic Performance as a mediator construct related to Cooperative Development on Public Welfare in Padang Municipality. Cooperative Performance data used in this research as panel data consists of 17 sub-sectors of Cooperative groups in Padang Municipality within 2012–2019 (8 years). Data analysis using quantitative statistical analysis approached by structural equation modeling-partial least square (SEM-PLS) method. This research found that Cooperative Development positively and significantly influenced Economic Performance and Public Welfare in Padang Municipality. Economic performance has a positive and significant influence on Public Welfare in Padang Municipality. Cooperative Development on Public Welfare through Economic Performance has a considerable contribution compared to direct influenced Cooperative Development on Public Welfare in Padang Municipality. Finally, Economic Performance has effective and complete mediation to improve Public Welfare by Cooperative Development in Padang Municipality within 2012–2019.

Modeling Financial Performance District/City in East Java

This study aims to determine the relationship between Local Own-Source Revenue, Capital Expenditure, and Leverage on District/City Government's Financial Performance in East Java Province. The data used is the District/City Government's financial report data in East Java Province 2014-2018. The method used is panel data regression with the parameter estimation method, namely Generalized Least Square (GLS). The results obtained are the appropriate estimation model is the REM model. The variables that significantly affect districts/cities' financial performance in East Java are Capital Expenditure and Leverage, while Local Own-Source Revenue does not have a significant effect

Role Of Economic Sectors In Bali On Economic Growth Of West And East Nusa Tenggara

Bali is a province that has significant economic strength in various sectors. Bali has proximity to the West Nusa Tenggara and East Nusa Tenggara Provinces, and financial interaction can occur. This study analyzes the spillover effect of the Balinese economy on West Nusa Tenggara and East Nusa Tenggara. It looks at the West Nusa Tenggara and East Nusa Tenggara economies' response when the Bali economic sector experiences a shock. The method used is VECM using quarterly real GRDP data of 35 observations. This study found a positive relationship between the service sector and the Bali industry in West Nusa Tenggara's economic growth. The Balinese industrial sector also has a positive relationship with East Nusa Tenggara's economic growth. The spillover effect did not occur between the Bali industrial sector in general and the development of West Nusa Tenggara and the Bali service sector in general and East Nusa Tenggara's economic growth. The Balinese economy, which has a spillover effect on West Nusa Tenggara and East Nusa Tenggara's economic growth in several sectors, can be used as a reference for the government to make economic development policies.

The Effect of Regional Minimum Wage and Inflation on HDI in Central Java

Since 2017 Central Java has a high Human Development Index (HDI); its rank in 2019 is still the same as in 2010. The study investigates regional minimum wage and inflation facts in Central Java and how the HDI estimation model's constants differ differregency/city in different regions of Central Java. The study utilizes the Fixed Effect Model built using panel data for 2010-2019. It employs the Least Square Dummy Variable Model to get the difference constant for each regency and city in Central Java. The FEM model implies that the effects of RMW and inflation are the same for all regencies/cities, caused by the same cultural background. The results of this study show that RMW and inflation have significant positive effects on HDI and that cities tend to have higher constants compared to regencies

Analysis of Multidimensional Poverty Indicators in Indonesia with Association Rules

This study was conducted to find patterns of relationships between 14 multidimensional poverty indicators in Indonesia from 2015-2019. To provide a more specific description of the relationship pattern, association rules with the apriori algorithm is used as the analysis method. The preprocessing stage to transform data was carried out using fuzzy functions and data reduction with Multiple Correspondence Analysis (MCA) to support the association analysis process. The results obtained are 15 relationship patterns or rules between items from the multidimensional poverty indicator with a support value of 60%-80% and 100% confidence. This means that the relationship pattern is significantly formed from objects with a strong relationship between the items and can represent poverty records in the last five years. The relationship pattern consists of four combinations of things. Suppose there is a high category decrease in the percentage of poor people indicator, a low category decrease in the open unemployment indicator, a high category increase in the percentage of households indicator according to the source of lighting from electricity, and a low category increase in the percentage indicator of households according to the broadest wall, not bamboo / other. In that case, there is a reduction in multidimensional poverty in Indonesia.

Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province

Agriculture is a dominant sector in Indonesia, mostly because many people work in this sector, especially in agricultural centers such as East Java Province. However, it is ironic that the farm sector does not have a considerable contribution to Indonesia's national income. This study aimed to measure rice farming's efficiency in East Java and determine whether education, access to credit, farmer group membership, age, and agricultural extension affected rice farming efficiency. The data source comes from the Central Statistics Agency (Agricultural Business Household Income Survey) in 2013 for East Java Province. The number of samples used was 8603 farmer households. The research method uses Stochastic Frontier Analysis. The results showed that the average efficiency for the Cobb-Douglas production function was 0.764, while the average efficiency for the translog production function was 0.759. The Cobb-Douglas production function is not suitable for this study; the translog production function is considered more appropriate. The variables of education, access to credit, membership of farmer groups, age, and agricultural extension significantly influence rice farming's technical efficiency in East Java. The extension variable has the most significant effect.