Economic Development Analysis Journal
Focus and Scope Economic Development Analysis Journal is a scientific journal who published by Department of Economic Development, Faculty of Economics, Universitas Negeri Semarang, Indonesia. this journal published four times per year on February, May, August, and November and start publishing since 2012. The journal scope is related to the research in developing countries such as a development studies, poverty adequate, inequality, unemployment studies, behavioural economics, human development problems and others economics issues. Economics Development Analysis Journal also publish an articles related to the branch of development studies, such as, industry economics, international trade, bank and financial institutions, agriculture economics, financial studies, digital economics, small and medium enterprises, and tourism economics. It also published the study of development policy such as monetary economics, public economics, macro economics, micro economics, and economics 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 multidicipline articles who related to the economics and development studies.
Articles
585 Documents
<![CDATA[Impact of Road Infrastructure and Foreign Direct Investment to Asean Economy ]]>
<![CDATA[Dyah Maya Nihayah]]>;
<![CDATA[Gilang Fajar Kurniawan]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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<![CDATA[In global economy era, developing countries try to increase their competitiveness. This study aims to analyze the effect of road infrastructure and Foreign Direct Investment (FDI) on Economic Growth as in ASEAN by 2008-2017. Variables in this research included economic growth, road length and FDI. The type of data used is panel data which analyzed by the Ordinary Least Square (OLS) method with fixed effect model specifications. The results showed that road infrastructure and FDI simultaneously had an effect for economic growth in ASEAN, and from the 9 countries the biggest effect is on Brunei Darussalam, Malaysia, and Thailand whose road infrastructure and FDI have a positive effect on economic growth in the period 2008-2017. Individually, road infrastructure variable has a negative effect, and FDI has a positive effect. It means that economic growth in ASEAN is less effected by physical capital and may be derived from other factors such as human resources or technological development, and investment has an important role in ASEAN economic growth. Further research is recommended to develop by adding other variables that are thought to have a relationship and represent the entire population.]]>
<![CDATA[Does Distance Blockade to Trade Interactions in Kalimantan Tengah Province? ]]>
<![CDATA[Dwi Ardi Wicaksana Putra]]>;
<![CDATA[Depi Rusda]]>;
<![CDATA[Abdul Aziz]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 3 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i3.43660
<![CDATA[Previous study has clarified that distance is a deterrent to the communication of exchange relations among districts and a few others show the contrary outcomes. This examination expects to recognize the degree of gravity displaying in keeping up the suspicion that distance is a boundary to trade interactions between the growth poles and its hinterlands. This sort of examination is quantitative spellbinding and was done purposively in the Province of Kalimantan Tengah, considering the welfare’s imbalance occurs. Optional information is acquired by documentation at BPS, in particular the Real GRDP and HDI for the 2014-2018 period by Regency/City, and their distances. Examination of the connection of exchange relations at the development community utilizes a correlation of 2 changed models of the estimation of the gravity list by including pointers of proportions of thriving, specifically GRDP and HDI. The consequences of this examination give another commitment which demonstrates that the HDI as a proportion of flourishing can more readily mirror the hypothesis of gravity than the GDRP. Accordingly, these outcomes affirm that expanding access and offices for wellbeing, instruction, exchange and transportation foundation administrations can be utilized as an answer in endeavors to productivity the collaboration of exchange relations.]]>
<![CDATA[Education Cash Transfer and High School Enrollment in Indonesia ]]>
<![CDATA[Pasman Caniago]]>;
<![CDATA[Elfindri Elfindri]]>;
<![CDATA[Delfia Tanjung Sari]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i2.43922
<![CDATA[Smart Indonesia Program (Program Indonesia Pintar/PIP) is a policy made by the Indonesian government that aims to guarantee and ensure every child has access to a decent education and has the same learning opportunities at all levels of education. However, the enrollment rate at the secondary level, especially in senior high school, is still far from the government target, as stated on the National Medium-Term Development Plan of 2015-2019. This study aims to understand the PIP’s impact on the probability of getting an education in Indonesia's Senior High School (Sekolah Menengah Atas/SMA). This study applied logistic regression analysis to determine PIP's effect regarding children's opportunities at the age of 16-18 years old to attend school. This study uses data from 16-18 years old children who belong to the households categorized as the 40% lowest expenditure group in Susenas 2017, to align with the PIP’s target based on Integrated Database (Basis Data Terpadu /BDT). The result reveals that 16-18 years old children in households included in the lowest 40% of expenditure who receive PIP have higher and significant probabilities of attending high school level in Indonesia. Administration of PIP to 16-18 years old children from the 40% lowest expenditure group will increase their chance to participate in senior high school/equivalent by 15-25 percent. The characteristics of the beneficiaries such as gender, education level of the head of the household, and residence area can affect PIP's performance in escalating the probability of 16-18 years old children attending senior high school/equivalent.]]>
<![CDATA[Strategy to Actualize Green Campuses Through Sustainable Transportation ]]>
<![CDATA[Amin Pujiati]]>;
<![CDATA[Prasetyo Ari Bowo]]>;
<![CDATA[Reza Nadya Isabella Putri]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i2.43974
<![CDATA[The green campus program is an effort made by the Indonesian government to overcome environmental problems that occur due to pollution, one of which is the Surakarta City Government. By involving tertiary institutions, it is hoped that it will be able to become a concrete example of the realization of greening for the surrounding community to help create a green and environmentally friendly city. The high level of pollution that occurs is certainly accompanied by the high use of motorized vehicles. The purpose of this research is to determine the priority order of strategies that must be carried out to realize a green campus through sustainable transportation at Universitas Sebelas Maret. The method used in this research is descriptive qualitative. The data used are primary data. The analytical tool used is the Analytical Hierarchy Process (AHP) which is used to determine the priority order of strategies in realizing a green campus through sustainable transportation at Universitas Sebelas Maret. The results showed that the order of priority strategies in realizing a green campus through sustainable transportation is improving the quality of the environment, developing facilities and infrastructure and university policies. Based on these priorities, there must be collaboration that is also carried out by the academic community in order to realize this green campus. In addition, all strategic plans that have been prepared must be carried out accordingly.]]>
<![CDATA[Analysis of Factors Affecting Poverty in the North Sumatra Province ]]>
<![CDATA[Arif Rahman]]>;
<![CDATA[M Syafii]]>;
<![CDATA[Sukma Hayati Hakim]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i2.44164
<![CDATA[North Sumatra is the province with the largest number of poor people in 2019 with the fifth highest poverty percentage on the island of Sumatra. This province has a good potential for accelerating economic growth and improving the quality of life if all levels of society are empowered with all their capabilities in carrying out productive business activities, and can access to socio-economic resources. This study aimed to determine and analyze the effect of the real GDP per capita variable, the open unemployment rate, and the average length of schooling simultaneously and partially on the poverty rate in 33 cities and regencies of North Sumatra Province in 2017-2019. It used secondary data using the Eviews program, while analysis technique used was panel data regression. Based on the research results, it was found that the real GDP per capita, the open unemployment rate, and the average length of schooling simultaneously had a significant effect on the poverty level. Per capita real GRDP and average length of schooling partially had a negative and significant effect on poverty rate. Meanwhile, the open unemployment rate had no significant effect on poverty. The variable that has the most dominant influence on the level of poverty was real GDP per capita.]]>
<![CDATA[Financial Inclusion, Poverty, Inequality: Empirical Evidence from Provincial in Indonesia ]]>
<![CDATA[Dipta Fitriatinnisa]]>;
<![CDATA[Khoirunurrofik Khoirunurrofik]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i2.44483
<![CDATA[Current financial inclusion studies generally use partial indicators from access and use dimensions and are still limited in using multi-dimensional indicators. This study investigates the nexus between financial inclusion, poverty, and inequality by looking at empirical evidence from 33 provinces in Indonesia during 2009 - 2019. The Financial Inclusion Index (FII) for each province is constructed following Wang & Guan (2017) approach, which is more objective in weight assignment and avoids correlations between dimensions, namely access dimension, and usage dimension. The results show that financial inclusion has a significant effect on reducing poverty in Indonesia. There is evidence that FII supports the existence of an inverted U-curve relationship between financial inclusion and inequality. If we dispart the FII, the result shows that the only access dimension has a significant effect on reducing poverty levels in Indonesia and supports an inverted U-curve relationship with inequality. To make financial inclusion a tool for combat poverty and inequality, Indonesia needs to provide broad and greater financial access, engage unbanked people to make an account, and use financial services, especially for poor people. Alongside that, Indonesia also needs to make usage dimension has an impact on financial inclusion. Financial institutions need to design the right products so that they can provide based on people's needs.]]>
<![CDATA[Gold, Uncertainty, Macroeconomy, Inflation Hedging and Safe Haven in Indonesia ]]>
<![CDATA[Muhammad Edhie Purnawan]]>;
<![CDATA[Inda Fresti Puspitasari]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 2 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i2.44653
<![CDATA[This study examines the impacts of monetary policy uncertainty and macroeconomic variables on gold price dynamics in Indonesia. Monthly time series data was used for the period of January 2009 till December 2018. Indonesia has the second place after Thailand as a country with the highest gold demand in Southeast Asia. but, there are less studies about role of gold as safe haven in Indonesia and this study is the first one that specifically included the uncertainty variable of US monetary policy in the model using ARDL-ECM approach. The ARDL-ECM approach is applied to find out are the gold price dynamics in Indonesia influenced by macroeconomic shocks or by the movements of gold price itself in the previous period. The empirical results of this study indicate that gold plays an important role as inflation hedging and safe haven in Indonesia. This study proved that in the short-term and long-term, gold price in the previous period, exchange rate, and IHSG have a negative and significant relationship on gold prices dynamics in Indonesia, while the London gold price and inflation have a positive and significant relationship on gold price movement in Indonesia. The high level of US monetary policy uncertainty and uncertainty in global economic conditions has led to an increase in gold prices in Indonesia.]]>
<![CDATA[The Impact of Asian Games 2018 on Indonesian Economy ]]>
<![CDATA[Epson Prasetyo]]>;
<![CDATA[I Gede Agus Ariutama]]>;
<![CDATA[Acwin Hendra Saputra]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 4 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i4.44666
<![CDATA[Organizing the 18th Asian Games 2018 in Indonesia, specifically in DKI Jakarta, South Sumatra, West Java, and Banten spent a large amount of state and regional budget (APBN and APBD), which was more than Rp10 trillion in the 2018 fiscal year. The government policy to host the mega event and expend a large amount of budget in terms of government consumption and investment was expected to have an impact on the Indonesian economy, both directly and indirectly. Thus, this study aims to identify the impact of government expenditure using the 2010 Input-Output table issued and updated by the Central Bureau of Statistics in July 2019 with 17 sectors. The study found that the multiplier effect on the economy is greater than government expenditure with the manufacturing sector being the most affected sector by government spending with a value of six point seven trillion rupiah. In addition to the multiplier effect, this study also calculates the estimated Value Added Tax of government spending. The result of the estimated Value Added Tax potential is one point sixty one trillion rupiah. It can be concluded that the Asian Games 2018 brought positive impact on economy and government revenue in the form of taxation.]]>
<![CDATA[A Multidimensional Optimum Ecotope Base Algorithm Labour Central Java ]]>
<![CDATA[Caroline Caroline]]>;
<![CDATA[Etty Puji Lestari]]>;
<![CDATA[Ceasilia Srimindarti]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 3 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i3.44844
<![CDATA[The workforce of Central Java Province in 2019 as many as 18.26 million has the potential to increase the economic growth of Central Java Province by increasing Labour productivity. Labour productivity will increase through the role of education and health. Education and health of workers, which are components of human capital, which in fact are inherent in the workforce. Problems will arise when the workforce experiences health problems. The purpose of this study was to analyze the spatial interaction patterns of Labour in Central Java Province. This research method uses the Multidirectional Optimum Ecotope Base Algorithm (AMOEBA) approach to analyze the spatial interaction patterns of the workforce of Central Java Province by using a spatial weight matrix of euclidean distances. This study uses spatial panel data from 29 districts and 6 cities in Central Java Province from 2014 to April 2020. The results of this study indicate the variables that affect the economic growth of Central Java Province are spatial lag (ρ), capital, average length of schooling (RLS), spatial weight matrix with Euclidean Distance Labour with ρ value less than 5%. The results of this study showed that there was a strong change in the spatial interaction pattern of the workforce between 2014 and April 2020. Initially in 2014 there were 11 districts / cities with strong spatial interaction patterns of Labour, then in April 2020 there were only 5 districts city. The strong spatial interaction pattern of Central Java's workforce has decreased in April 2020, presumably due to government policies regarding activity restrictions in the form of social distancing and physical distancing policies.]]>
<![CDATA[The Determination of Leading Sectors to Improve Bandung City’s Competitiveness ]]>
<![CDATA[Bayu Kharisma]]>;
<![CDATA[Sutyastie Soemitro Remi]]>;
<![CDATA[Adhitya Wardhana]]>;
<![CDATA[Herlina Roseline]]>;
<![CDATA[Muhammad Bayu Permana Rosiyan]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 3 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i3.44884
<![CDATA[This study aims to identify the leading sectors in 2010-2019 and future economic development strategies in order to increase the economic competitiveness of Bandung City, Indonesia. The method used is a combined analysis of static and dynamic Location Quotient (LQ), Shift-Share, Growth Ratio Model (MRP), Overlay and Klassen Typology. The results showed that 8 (eight) sectors are classified into advanced and rapidly growing sectors: construction; wholesales, retail, car and motor repair; transportation and warehousing; accommodation and food and beverage; information and communication; financial and insurance services; corporate services; health services; and social activities and others. Economic development strategies to improve the economic competitiveness of Bandung can be done in the short, medium, and long term. In the short term, it is maintaining the advanced and rapidly growing sectors and encouraging others in the advanced category sector but are depressed to be advanced and grow rapidly. In the medium term, local government can strive for potentially growing rapid sectors into advanced and growing rapidly sectors; additionally, it can support relatively lagging sectors to become potential or still develop. Furthermore, in the long-term, other lagging sectors are aimed to become advanced and grow rapidly.]]>
