JEJAK
JEJAK: Jurnal Ekonomi dan Kebijakan p-ISSN 1979-715X | e-ISSN 2460-5123 is a scientific journal that contains the results of research and theoretical studies in the field of economic development, especially on matters of economic policy in Indonesia was published by the Department of Economic Development, Faculty of Economics, Semarang State University and Indonesian Economics Bachelor Society.
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<![CDATA[Export Model of Four or More Wheeled Vehicles in Indonesia ]]>
<![CDATA[Emilia, Emilia]]>;
<![CDATA[Achmad, Erni]]>;
<![CDATA[H. Prihanto, Purwaka]]>;
<![CDATA[Mustika, Candra]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34156
<![CDATA[ In the case of Indonesia, manufacturers from abroad have collaborated with Indonesia by buil di ng t hei r own factories so that this is expected to help economic development in the country , but this doesn’t happen in 2020. In the contrary, since the Pandemic of Covid-19, the automotive industry, one of whi ch i s four -wheeled vehicles or cars, experienced a significant decline in exports. Therefore, the purpose of this research is to find out and analyze how the ratio of exports of four or more wheeled vehicles from Indonesia to the main destination countries, especially in the Southeast Asia region and t o di scover and analyze the effect of the exchange rate, population and gross domestic product on the Indonesian export s of four or more wheeled vehicles to main destination countries, especially in the Southeast Asian region. The methods used in this study are descriptive analysis using export ratio and quantitative analysi s using panel data regression. The results showed that based on the ratio of exports of four or more wheeled vehicles from Indonesia to the four main destination countries in Southeast Asi a, t he l argest was t he Philippines with an average of 0.25, followed by Thailand with an average of 0.11 followed by V iet nam with an average of 0.25. an average of 0.049 and finally Malaysia, which is an average of 0.041. The regression results show that the population and exchange rate variables have a significant positive effect while GDP has no significant effect on Indonesia's exports of four or more wheeled vehicles to the four main destination countries in Southeast Asia.]]>
<![CDATA[The Economy of Indonesia: Driven by Physical or Human Capital? ]]>
<![CDATA[Agusalim, Lestari]]>;
<![CDATA[Anggraeni, Lukytawati]]>;
<![CDATA[Pasaribu, Syamsul H.]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34418
<![CDATA[This study aims to analyze whether economic growth in Indonesia is driven by physical or human capital using panel data analysis consisting of all provinces over the last nine years. The estimation results show that the Indonesian economy is more likely to be driven by physical than human capital. The formation of human capital that has a significant positive effect on economic growth is health. However, the education variable represented by the mean years schooling has no significant effect on economic growth when including the control variable in the research model. To improve the quality of education, the state requires the government to provide substantial educational spending. However, the budget has not been used optimally so that the expected achievements of graduates are not achieved. In addition, education spending has not met the criteria for quality spending. In contrast to education spending, an increase in health spending will increase economic growth by improving the quality of health and life expectancy. A healthier society will have a high level of productivity that impacts the regional and national economy.]]>
<![CDATA[Where do Energy-Poor Households Live? Empirical Evidence from Indonesia ]]>
<![CDATA[Hasibuan, Dewi Yuliandini]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.31290
<![CDATA[Empirical analysis on the links between geography and energy access in archipelago setting is still limited. In particular, the territorial identification of energy poverty in Indonesia is still missing. Our study maps geographical location and estimates factors that determines the probability of being energy poor household in relation to electricity. We used the OLS (Ordinary Least Square) estimation and utilized the socioeconomic survey (Susenas) combined with data on terrain elevation, presence of geographic features such as mountainside, topography characteristics, ocean and forest obtained from the village census (PODES). The results show that energy poverty in Eastern part of Indonesia is larger than in the Western. In Eastern Indonesia, we estimate that 13.5% of the total households are energy poor compared to the Western which only 7.21%. Households located in the forest area was the dominant factor to influence prevalence of energy poverty among geographic constraints, with magnitude of influence at 22-23 percentage point to non-forest residents. Secondly, the presence of steep-sloped terrain is the next meaningful geographical constraint with contribution effect to energy poverty prevalence at around 18 percentage point. The result highlighted priority of locations in which resource and policy to reduce energy deprivation need to be allocated.]]>
<![CDATA[Spatial Autocolleration and Economic Convergence in Lampung Province ]]>
<![CDATA[Pratama, Ahmad Dhea]]>;
<![CDATA[Suparta, I Wayan]]>;
<![CDATA[Ratih, Arivia]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34601
<![CDATA[The regional economy is in space and time, space is an important strength in the activity of an economy. This study examines spatial dependencies in observing economic activity in the form of regions and the convergence hypothesis as a study to see the economic gap between poor and rich regions. The spatial interaction of the economy in this study uses the Moran I statistical method, LISA Signification, and LISA Clustered map, the Convergence Study is analyzed using ordinary least square panel data using the Fixed Effect model approach. This study uses secondary data and panel data with 15 districts and cities and the 2015-2019 time series. Testing Results spatial relationship between the GDP per capita 15 districts and cities in the province of Lampung year 2015-2019, there has been a positive spatial autocorrelation spatial pattern formation has a regional grouping of Economy with the indication of the same characteristics. A process of absolute convergence is marked and significant negative coefficient, an indication of speed- reducing the economic gap of 4.8%, so that the time required in a process of reducing the gap from the initial gap was 14.17 years in 15 districts and cities in the province of Lampung Year 2015-2019.]]>
<![CDATA[Analyzing Agricultural Trade-Off and Composing Strategies to Advance Sustainable Development ]]>
<![CDATA[Prajanti, Sucihatiningsih Dian Wisika]]>;
<![CDATA[Pratama, Bayu Rizky]]>;
<![CDATA[Amelia, Dhea Rizky]]>;
<![CDATA[Adzim, Fauzul]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.33492
<![CDATA[Agriculture takes an important role for economy by more than 14% of economic contribution. Nevertheless, it has indirective effects, where it has commonly a negative impact, but somehow in the long term, offers a better environmental service. This study, therefore, aimed to evaluate both impact by estimating the Indonesia food barn to estimate how far the impact to environment through the Environmental Kuznets Curve (EKC). In order to improve the environmental quality in the long term, the sustainable practices through ecolabelling product have to be conducted. Thus, the evaluation of consumers’ WTP for ecolabelling product has been observed through 300 respondents depicting their preferences. Following by AHP analysis to construct the priority of strategies to develop the sustainable agriculture. Based on the results, EKC model showed it initially leads to environmental damage, but at a certain level, people begin to increase environmental awareness by a decrease of methane (CH4) about 0.12%. It is proved by their WTP where 82.6% respondents were willing to pay for ecolabelling product. Finally, to support sustainable agriculture, reforming the market access is a top priority (0.312 points) which aimed to progressively encourage the farmers’ supply. Otherwise, the pricing strategy becomes the consumers’ main perspective to buy (0.264 points).]]>
<![CDATA[The Classification of Leading Sectors Utilized Weighting Technique Analysis ]]>
<![CDATA[Nurfariswan, Agi]]>;
<![CDATA[Putra, Dwi Ardi Wicaksana]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34767
<![CDATA[Related to the previous studies, there are still questions about what sectors are produced from several economic based approaches each year. This study aims to determine the “very potential” business fields to be developed. This research was led purposively in Sukamara Regency, Kalimantan Tengah Province thinking about that macroeconomic exhibition information actually should be additionally improved. Auxiliary information got by documentation at the Central Statistics Agency, specifically GRDP at 2010 Constant Market Prices for the 2015-2020 period. Arrangement of business fields is done utilizing a weighting come closer from the estimation of Location Quotient, Growth Ratio Model, Sectoral Contribution Percentage and Growth Rate, Shift Share Analysis, and Overlay. The consequences of the review show the pattern of the improvement of the quantity of driving areas that are getting less and less and not in any manner observe any area that is completely equipped for satisfying the normal financial based methodology presumptions consistently. Moreover, the weighting system carried out proposes a new contribution in determining the leading sectors with a clearer classification. Therefore, the results of this study at the same time provide recommendations for the need for an analysis of the leading sector every year as consideration for regional planning.]]>
<![CDATA[External Debt and Economic Growth: Evident from South Asian Countries ]]>
<![CDATA[Zuhroh, Idah]]>;
<![CDATA[Pristiva, Desy]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34293
<![CDATA[External debt is one of the fiscal policies that are still widely used by developing countries as an instrument of development capital. Limited capital in development in developing countries is one of the obstacles to the accelerated development of a country, one of which is in South Asian countries. This study aims to determine the effects of external debt, exports, foreign direct investment (FDI), and exchange rates on economic growth in South Asian countries using panel data in eight countries with a 2005–2019 series. data in the form of panel data from several data sources, including the World Bank, UnctadSTAT, and the Asian Development Bank. The panel data regression method is used to see the effect of external debt and other macroeconomic variables on economic growth as proxied by GDP growth for South Asian countries. The results of the analysis found that external debt, exports, and FDI had a significant positive effect on economic growth in South Asian countries. However, the exchange rate has a significant negative effect on economic growth in South Asian countries. These results imply that external debt is still needed as a policy instrument in development and economic growth in South Asia, with debt management for the allocation of productive activities. As indicated by increasing welfare and national economic growth, external debt management can accelerate development.]]>
<![CDATA[The Impact of Special Autonomy on Education and Health Outcomes ]]>
<![CDATA[Rumere, Victor]]>;
<![CDATA[Sugiyanto, Catur]]>;
<![CDATA[Sulistyaningrum, Eny]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.32301
<![CDATA[The purpose of the study is to analyze the impact of implementing on special autonomy in Papua on education and health outcomes. The main data are sourced from the 2015 Intercensus Population Survey. Educational outcomes are measured by the highest primary education completed, while the health outcome measure is the level of complaints of sickness. The impact of special autonomy on educational outcomes is analyzed using ordered logistic regression, while the impact of special autonomy on health outcomes is analyzed using ordered logistic regression and instrumental variables. The results of this studycomprise two findings. First, the implementation of special autonomy in Papua has not had an impact on basic education in the province, because education spending made by the regional government in implementing special autonomy in Papua has not been able to compensate for the needs of school -age children in households. Second, the implementation of special autonomy in Papua has a direct and indirect impact on household health outcomes. This shows that the health expendi tures made by the Regional Government in implementing Special Autonomy, through increasing the coverage of communit y health centers throughout Papua, bring benefits that are felt by households in the province.]]>
<![CDATA[The Dynamics of Macroeconomic and Microeconomic Determinants with The Capital of Rural Banks ]]>
<![CDATA[Ponziani, Regi Muzio]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.31902
<![CDATA[The research aims to investigate the dynamics among rural banks’ capital, macroeconomic variables and microconomic variables. Macroeoconomic variable consists of infllation and interest. Microeconomic variables consist of loan to deposi ratio, nonperforming loans, and return on assets. The data are excerpted from OJK and BI’s website. The data are monthly data extending from January 2010 until May 2021. The testing method used is vector error correction model (VECM). The results show that rural banks’ capital is significantly affected the previous state of capital and profitability. This indicates the importance of sustainability of capital in rural banks and how it is very much dependent upon the profitability of the rural banks. Further, the research results show that there ar two cointegrating functions in the model. Both cointegration functions are influential to inflation. The speed adjustment derived from the residuals of capital function is 0.6754% and 13.5669% for residual from inflation function itself. The slow adjustment process is due to the small market share and assets of rural banking sector. In addition, capital, nonperforming loans, and return on assets are pivotal for central bank monetary policy to control inflation.]]>
<![CDATA[Economic Interdependence of Indonesia in Global Value Chain: An Analysis of Multiregional Input-Output ]]>
<![CDATA[Dwi Ervinda, Moch Yasin]]>;
<![CDATA[Ariutama, I Gede Agus]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34747
<![CDATA[Indonesia’s resilience to economic crises originating from the outside was due to the high domestic consumption as the main support for the economy. On the other hand, Indonesia does not have a significant role in the global value chain because of the low amount of export value and low product competitiveness. Using Multiregional Input-Output (MRIO) analysis, this study aims to map the interdependence and role of Indonesia in trade relations with major partner countries and see the magnitude of the economic influence of other countries on the domestic economy. The data used is the 35 economic sector MRIO tables issued by the Asian Development Bank in 2008 and 2018 consisting of 63 countries. The results indicate that Indonesia has low linkages in international trade with major partners. In addition, most of Indonesia's export commodities are intermediate goods that have low value-added. Furthermore, the simulation conducted in the study outlines that Indonesia is increasingly unaffected by the GDP changes of trading partner countries.]]>
