cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
Economics Development Analysis Journal
ISSN : 22524560     EISSN : -     DOI : -
Core Subject : Economy,
The journal scope is related to the research in developing countries such as development studies, poverty adequate, inequality, unemployment studies, behavioral economics, human development problems and many other issues. Economics Development Analysis Journal also publishes an articles related to the branch of development studies, such, industry economics, international trade, bank and financial institutions, agriculture economics, financial studies, digital economics, small and medium enterprises, tourism economics and many others. It also published the study of development policy such as monetary economics, public economics, macroeconomics, microeconomics, and economic policy. Therefore, this journal also received an articles related to spatial studies such as Urban, Regional, Development planning and Rural economics. Base on the scope, Economics Development Analysis Journal welcome a multi dicipline articles who related to the economics and development studies.
Arjuna Subject : -
Articles 1,040 Documents
Estimation and Analysis of Food Demand Patterns in North Kalimantan
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.66472

Abstract

North Kalimantan Province is in the top five provinces with Indonesia's highest percentage of food-insecure populations in 2018. Meanwhile, of the five provinces, only North Kalimantan Province has the status of a newly expanded province. As a province that is still relatively new, this is a challenge for the local government to ensure the availability of food for its people. Therefore, this research aims to analyze the factors that influence patterns and changes in food consumption due to prices, income, and socio-demographic characteristics of households in North Kalimantan Province. This study uses A Linear Approximated Almost Ideal Demand System (LA/AIDS) for 13 food commodity groups using Susenas data in 2018. The results show that the prices of each commodity group and other commodities significantly influence the proportion of food expenditure. In addition, the number of household members, household residences, and head of household education substantially affects the pattern of household food consumption. Price elasticity provides a positive value for 11 commodity groups, and only two commodities are negative, namely vegetables and fruits, while cross elasticity is quite varied. The policy implications that the government can carry out are to ensure food availability by using this research information to create work programs and strategic policies to ensure the fulfillment of food needs
The Role of Green Budgeting on Environmental Quality on Indonesia
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.68929

Abstract

Law Number 32 of 2009 requires Regional Governments to allocate an adequate environmental protection and management budget. However, the allocation of green budgeting is less than 1% of the Regional Revenue and Expenditure Budget. This study aims to determine the effect of green budgeting, Human Development Index (HDI), Foreign Direct Investment (FDI), and population density on environmental quality in Indonesia from 2011-2020. The research method used is descriptive quantitative with panel data regression analysis techniques. Data were taken from 34 provinces in Indonesia from 2011 – 2020. The research variables are Environmental Quality, Green Budgeting, Human Development Index, Foreign Direct Investment, and Population Density. The data were obtained from the Central Agency of Statistics and the Ministry of Environment and Forestry Republic Indonesia using literature study data collection techniques. The data was processed using the Eviews 9.0 analysis tool, with the Fixed Effects Model as the best model. The finding shows that green budgeting has a positive but insignificant effect, Human Development Index (HDI) has a significant positive effect. In contrast, Foreign Direct Investment (FDI) and population density significantly negatively affect environmental quality in Indonesia.
Determinants of Income Inequality in a Time Perspective in Indonesia Arif Rahman
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.62755

Abstract

The development orientation which is more dominant on growth, has been impaled to widen the inequality gap. The purpose of this study is to analyze the short-term and long-term effects of several determinants of income in Indonesia during 1998-2021. Data sourced from the World Bank in a time series format. The study method uses descriptive quantitative analysis with the Error Correction Model approach. The Gini index is used as the dependent variable, while the independent variables include the ratio of the work force graduates above senior high school, urban population growth, the agricultural sector, haunting, and fisheries, and per capita GDP growth. The stationarity test results show that stationarity occurs in the first derivative data. Cointegration test results using the Engle-Granger method show that the model built has cointegration. The results of the long-term regression show that two variables have a significant effect on the Gini index, namely the ratio of the work force graduates above senior high school which has a positive effect, and the urban population growth rate which has a negative effect. In the short term, the ratio of the work force graduates above senior high school contributes significantly to the increase in the Gini index. Meanwhile, other predictor variables have no significant effect on the Gini index in Indonesia. The lack of support from the agricultural sector in pushing the Gini index down, and the positive role of the highly educated work force, reflects the ongoing development process which still seems exclusive.
Government Spending Effect on HDI Indragiri Hilir: An ECM Approach
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.61053

Abstract

Indragiri Hilir Regency has the second lowest Human Development Index compared to the newly established regencies and cities in Riau province. However, Indragiri Hilir Regency has a relatively high allocation of development budget and per capita income compared to other regencies and cities. The objectives of the study were to determine whether the effect of the Indragiri Hilir government expenditure realization on the Human Development Index is cointegrated, to examine the long-term impact of expenditure realization on education, health, infrastructure, environmental, and social protection functions on the Human Development Index in Indragiri Hilir, and to analyze the short-term effects of environmental and social protection functions on the Human Development Index. The study employed the Error Correction Model (ECM) method, utilizing data from the period 2007 to 2021 obtained from the Directorate General of Fiscal Balance (DJPK) of the Indonesian Ministry of Finance for independent variables, while dependent variables were sourced from the Central Statistics Agency (BPS). The study findings revealed that government spending has a cointegrated influence on the Development Index. Furthermore, it was observed that the realization of government spending on education, health, and infrastructure functions did not significantly affect the Human Development Index in the Indragiri Hilir regency. In contrast, the realization of government spending on environmental functions showed a significant positive correlation. Similarly, the realization of Indragiri Hilir's government spending on social protection functions had a significant negative correlation. Therefore, the government of Indragiri Hilir Regency should assess expenditure realization on education, health, and infrastructure functions and introduce innovative programs. Increased spending on social protection led to a reduction in the Human Development Index.
Map Distribution of Factors Affecting Stunting in East Nusa Tenggara
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.64908

Abstract

Stunting is chronic malnutrition in children under five years of age, which results in disturbances in the growth and development of children. Several factors, such as economic, health, and environmental factors, can influence stunting. In this study, a distribution map of the factors influencing stunting in East Nusa Tenggara districts/cities will be formed using Geographically Weighted Regression with a Spatial Lag of X. The variables used are the percentage of infants under two years who are breastfed, the percentage of toddlers who receive complete immunization, the percentage of households that do not use defecation facilities, the percentage of mothers who do not attend formal education, the GRDP growth rate, actual expenditure per capita, and the newly formed variable, namely GRDP growth rate around the i-th observation locations. From the results, it can be concluded that the western part of East Nusa Tenggara has unaffected economic factors, and the eastern part is an area where almost all variables are influential. Only the percentage of mothers who do not attend formal education has no effect, and the northern part is an area with economic factors which has an effect. The southern part is an area with child health factors that have no effect
The Impact of Seaport Activities on Growth: Evidence from Indonesia Tauhid Ahmad; Rusli Abdulah; Riza Annisa Pujarama; Dhenny Yuartha Juniftha
Economics Development Analysis Journal Vol 12 No 3 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i3.46580

Abstract

The research aims to analyse the impact of seaport activity on economic development in Indonesia. The time series of data has ranged between 2008 – 2018. This cross-section of data covers 33 provinces in Indonesia. The research uses secondary sources, such as the Central Statistics Agency, CEIC, and Ministries, and employs panel data analysis, which chooses the fixed effect as the best model. The results show that : (i) capital expenditure to gross investment in the economy (PMTB) positively affects boosting economic growth, (ii) the university workforce has a positive impact on per capita income growth (iii) the depreciation appears to erode gross regional domestic product per capita, and (iv) the variables associated with port activity in the model have no significance at a p-value of 1 % or 10 %. Furthermore, the variable with a lag of one year significantly affected growth. It meant that the investment activities impacted the economy in the following year. The policy implications include: (i) Increased government capital expenditure is needed, (ii) Providing the broadest possible access to higher education is one of the policies that can be taken to improve the quality of workers; (iii) improve access to and from the seaport to facilitate the flow of goods both for unloading and loading and unloading at the seaport.
Banking Credit Risk and Efficiency: Some Countries in ASEAN Mahjus Ekananda
Economics Development Analysis Journal Vol 12 No 3 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i3.62124

Abstract

Banking efficiency is an important strategy to increase competitiveness. The ultimate goal of improving bank performance is the ability of business groups, banks, or countries to excel in competition. Banking can increase competitiveness in various ways, including increasing efficiency. This study presents an empirical analysis of the effect of credit risk on the value of banking cost efficiency in ASEAN. Cost efficiency is measured using panel data of banks in 10 ASEAN countries, employing stochastic frontier analysis and assuming a fixed effect. The efficiency is obtained using the Panel Stochastic Frontier Analysis method. The relationship between loan risk and efficiency is assessed using a linear regression model, specifically, Feasible Generalized Least Squares. In general, banking efficiency in ASEAN exceeds 80%. Another finding from this study is a negative relationship between credit risk and banking efficiency. In this case, the risk that most significantly reduces efficiency is the risk obtained from the loan-to-asset ratio indicator. The greater the risk the bank takes, the lower the cost-efficiency value of the bank. The implications of this research include that bank managers must reduce credit risk to increase the efficiency of bank operational costs.
The Causality Relationship Between Growth and Inequality: Java and Sumatera Studies Candra Mustika; Parmadi Parmadi; Emilia Emilia; Rahma Nurjanah
Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i2.64333

Abstract

This research article has the theme of the causal relationship between growth and inequality with the object of research being the provinces on the island of Java and Sumatra island. The purpose of this study is to identify and analyze conditions of inequality in income distribution and economic growth and to analyze whether there is a causal relationship between inequality income with economic growth in provinces on the island of Java and provinces on the island of Sumatra during the 2015-2020 period. The research method used is quantitative descriptive using the Granger causality test analysis tool. Based on the research results, the condition of economic growth in each province on Sumatra Island fluctuated, with the highest average economic growth in South Sumatra Province and the lowest in Riau Province. Inequality in the distribution of provincial income on the island of Sumatra fluctuates, the highest average income distribution inequality is in the provinces of South Sumatra and Bengkulu, and the lowest is in the province of the Bangka Belitung Islands. Meanwhile in Java, economic growth also fluctuated. The highest average economic growth was in DI Yogyakarta Province, and the lowest was in Central Java Province. Inequality in the distribution of provincial income in Java Island fluctuates, with the highest inequality in Yogyakarta province and the lowest in Central Java province. In addition, the results of the Granger causality test show that there is no one-way or two-way causality relationship between economic growth and income inequality on the islands of Sumatra and Java.
Micro Small Industries Performance Improvement: Analysis of the KUR Program Rezha Arlanda Berliansyah; Khoirunnurofik Khoirunnurofik
Economics Development Analysis Journal Vol 12 No 3 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i3.65457

Abstract

MSMEs contribute 61.07% to Indonesia's GDP, but over 40% face capital problems. Kredit Usaha Rakyat, or People’s Business Credit (KUR), is a government program to solve that by giving subsidies through financial institutions to strengthen MSME’s capital. Since 2015, the processing industry sector has been a priority sector of the KUR program, with KUR's realization target Micro Small Industries (MSI) is 40%, and the target continues to rise to 60% in 2019. This study analyzes the KUR program's impact on MSI performance in Indonesia. This study uses secondary cross-section data from the MSI survey of Badan Pusat Statistik or Central Bureau of Statistics (BPS) from 2014, 2015, and 2019 with Pooled Least Square (PLS) analysis method. The estimation results show that MSI who access the KUR program have a higher average income of 45% compared to MSI who do not access the KUR program. This means the KUR program significantly positively affects increasing MSI income in Indonesia. The results of the sub-sample analysis show that the income of the industrial sub-sectors, such as tobacco, paper, rubber, plastics, machinery, and equipment, are positively significantly affected by the KUR program, and the others, such as printing and recording media industry, base metals, computers, electrical equipment, electronic goods, motor vehicles, other transportation equipment, and repair services, installation of machinery and equipment are not significantly affected. Thus, the government should continue the KUR program, especially for the positively affected processing industry and sub-sector, to improve the performance of micro-small enterprises and industries in Indonesia.
Does Women’s Role Have an Influence on Economy Growth in Indonesia? Detris Sulisto; Nurhayati Nurhayati; Syafri Syafri; Samuel Fery Purba; Kezia Br Aritonang
Economics Development Analysis Journal Vol 12 No 3 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v12i3.67081

Abstract

Economic growth is one of the goals that every country strives for because it is a measurement of a country's success. Gender equality and gender empowerment are important goals for Indonesia's development and economic growth. The purpose of this study is to examine the effect of women’s role on the indicators of the gender development index, gender empowerment index, women's life expectancy, mean years of schooling for women, and women's income contribution to gross regional domestic product (GRDP), which is a proxy for Indonesian economic growth. This quantitative study uses a panel data regression model, secondary data from Statistics Indonesia, time series data from 2014 to 2021 and cross-section data for 34 provinces in Indonesia. The study's findings yielded 272 observations. Empirical results show that all indicators used to measure women's role, namely gender development index, gender empowerment index, women's life expectancy, mean years of schooling for women, and women's income contribution, have a positive and significant effect on Indonesia’s economic growth. The findings of the study show the Indonesian government's dedication to increasing women's role in various economic sectors in Indonesia. The influence of women's roles indicates additional household income and economic growth.

Filter by Year

2012 2024


Filter By Issues
All Issue Vol 13 No 1 (2024): Economics Development Analysis Journal Vol 12 No 4 (2023): Economics Development Analysis Journal Vol 12 No 3 (2023): Economics Development Analysis Journal Vol 12 No 2 (2023): Economics Development Analysis Journal Vol 12 No 1 (2023): Economics Development Analysis Journal Vol 11 No 4 (2022): Economics Development Analysis Journal Vol 11 No 3 (2022): Economics Development Analysis Journal Vol 11 No 2 (2022): Economics Development Analysis Journal Vol 11 No 1 (2022): Economics Development Analysis Journal Vol 10 No 4 (2021): Economics Development Analysis Journal Vol 10 No 3 (2021): Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal Vol 10 No 1 (2021): Economics Development Analysis Journal Vol 9 No 4 (2020): Economics Development Analysis Journal Vol 9 No 3 (2020): Economics Development Analysis Journal Vol 9 No 2 (2020): Economics Development Analysis Journal Vol 9 No 1 (2020): Economics Development Analysis Journal Vol 8 No 4 (2019): Economics Development Analysis Journal Vol 8 No 3 (2019): Economics Development Analysis Journal Vol 8 No 2 (2019): Economic Development Analysis Journal Vol 8 No 1 (2019): Economics Development Analysis Journal Vol 8 No 1 (2019): Economics Development Analysis Journal Vol 7 No 4 (2018): Economics Development Analysis Journal Vol 7 No 4 (2018): Economics Development Analysis Journal Vol 7 No 3 (2018): Economics Development Analysis Journal Vol 7 No 3 (2018): Economics Development Analysis Journal Vol 7 No 2 (2018): Economics Development Analysis Journal Vol 7 No 2 (2018): Economics Development Analysis Journal Vol 7 No 1 (2018): Economics Development Analysis Journal Vol 7 No 1 (2018): Economics Development Analysis Journal Vol 6 No 4 (2017): Economics Development Analysis Journal Vol 6 No 4 (2017): Economics Development Analysis Journal Vol 6 No 3 (2017): Economics Development Analysis Journal Vol 6 No 3 (2017): Economics Development Analysis Journal Vol 6 No 2 (2017): Economics Development Analysis Journal Vol 6 No 2 (2017): Economics Development Analysis Journal Vol 6 No 1 (2017): Economics Development Analysis Journal Vol 6 No 1 (2017): Economics Development Analysis Journal Vol 5 No 4 (2016): Economics Development Analysis Journal Vol 5 No 4 (2016): Economics Development Analysis Journal Vol 5 No 3 (2016): Economics Development Analysis Journal Vol 5 No 3 (2016): Economics Development Analysis Journal Vol 5 No 2 (2016): Economics Development Analysis Journal Vol 5 No 2 (2016): Economics Development Analysis Journal Vol 5 No 1 (2016): Economics Development Analysis Journal Vol 5 No 1 (2016): Economics Development Analysis Journal Vol 4 No 4 (2015): Economics Development Analysis Journal Vol 4 No 4 (2015): Economics Development Analysis Journal Vol 4 No 3 (2015): Economics Development Analysis Journal Vol 4 No 3 (2015): Economics Development Analysis Journal Vol 4 No 2 (2015): Economics Development Analysis Journal Vol 4 No 2 (2015): Economics Development Analysis Journal Vol 4 No 1 (2015): Economics Development Analysis Journal Vol 4 No 1 (2015): Economics Development Analysis Journal Vol 3 No 4 (2014): Economics Development Analysis Journal Vol 3 No 4 (2014): Economics Development Analysis Journal Vol 3 No 3 (2014): Economics Development Analysis Journal Vol 3 No 3 (2014): Economics Development Analysis Journal Vol 3 No 2 (2014): Economics Development Analysis Journal Vol 3 No 2 (2014): Economics Development Analysis Journal Vol 3 No 1 (2014): Economics Development Analysis Journal Vol 3 No 1 (2014): Economics Development Analysis Journal Vol 2 No 4 (2013): Economics Development Analysis Journal Vol 2 No 4 (2013): Economics Development Analysis Journal Vol 2 No 3 (2013): Economics Development Analysis Journal Vol 2 No 3 (2013): Economics Development Analysis Journal Vol 2 No 2 (2013): Economics Development Analysis Journal Vol 2 No 2 (2013): Economics Development Analysis Journal Vol 2 No 1 (2013): Economics Development Analysis Journal Vol 2 No 1 (2013): Economics Development Analysis Journal Vol 1 No 2 (2012): Economics Development Analysis Journal Vol 1 No 2 (2012): Economics Development Analysis Journal Vol 1 No 1 (2012): Economics Development Analysis Journal Vol 1 No 1 (2012): Economics Development Analysis Journal More Issue