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.
Articles
860 Documents
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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[KETAHANAN PANGAN DAN POLA DISTRIBUSI BERAS DI PROPINSI JAWA TIMUR ]]>
<![CDATA[ JEJAK Vol 6, No 2 (2013): September 2013 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jejak.v6i2.3881
<![CDATA[The problem of food security is availability, distribution and consumption. The problem of availability is limited and decreasing production capacity: the distribution’s problem are insfrastructure, institution, safety link of distribution’s and the variation production capacity between region dan season. The problem of consumption is most of energy consumption are grain and rice biased. The policy of food security not only to create the food sufficiency with development economic with rural and agriculture are the basis, but also the sufficiency of food for poor society. In order to create food reserve of society, lumbung desa is important to be improved.Masalah ketahanan pangan meliputi ketersediaan bahan pangan, distribusi dan konsumsi. Masalah ketersediaan bahan pangan dapat menurunkan kapasitas produksi : masalah distribusi ini meliputi infrastruktur, institusi, jaringan distribusi dan kapasitas produksi antara wilayah dan musim. Masalah konsumsi yang paling krusial adalah konsumsi untuk gandum dan beras. Kebijakan ketahanan pangan tidak hanya untuk menciptakan kecukupan pangan dalam hal pembangunan ekonomi, tetapi juga kecukupan pangan bagi masyarakat miskin. Dalam rangka menciptakan cadangan pangan masyarakat, Lumbung Desa penting untuk ditingkatkan.]]>
<![CDATA[Technical Efficiency of Wet Season Melon Farming ]]>
<![CDATA[ JEJAK Vol 10, No 1 (2017): March 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jejak.v10i1.9124
<![CDATA[Melon is one of high-value horticulture commodity which is cultivated widely in Kulon Progo regency. The nature of agricultural products is heavily dependent on the season, so it causes the prices of agricultural products always fluctuated every time. In wet season the price of agricultural products tends to be more expensive. Melon cultivation in wet season provide an opportunity to earn higher profits than in the dry season. The price of agricultural products tends to be more expensive in wet season, thus melon cultivation in wet season prospectively generate high profits. In order to achieve high profitability, melon farming has to be done efficiently. Objective of this study was to 1) determined the factors that influence melon production in wet season 2) measured technical efficiency of melon farming and 3) identified the factors that influanced technical efficiency. Data collected during April – June 2014. Location determined by multistage cluster sampling. 45 samples of farmers who cultivated melon during wet season obtained based on quota sampling technique. Technical efficiency was measured using Cobb-Douglas Stochastic Frontier. The result reveals that 1) land use, quantity of seed, K fertilizer contributed significantly increasing melon production, while N fertilizer decreased melon production significantly 2) technical efficiency indeces ranged from 0.40 to 0.99, with a mean of 0.77; 3) farmer’s experience gave significant influence to technical efficiency of melon farming in wet season.]]>
<![CDATA[IDENTIFIKASI POTENSI EKONOMI DAERAH BOYOLALI, KARANGANYAR, DAN SRAGEN ]]>
<![CDATA[ JEJAK Vol 2, No 2 (2009): September 2009 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jejak.v2i2.1469
<![CDATA[The implementation of regional autonomy requires local governments explore the economic potentialexisting in the region to be able to complete with other regions. One of the implications is of centralgovernment being reduced in managing development. Therefore, local revenues have to be found, sothat development can be continously financed. One of the strategies that have to be done by the localgovernment is to stimulate economic sectors, that are potential to develop and able to complete withother regions in Central Java, as source of local development funding. This research will analyze theeconomic potential of the region Boyolali, Karanganyar and Sragen with an analysis of internal andexternal potential. From the analysis of economic sectors that have the potential competitivenesscomparative and competitive superior to the growth of economic activity total for the three areas isagriculture.Keywords: GDP, Sector, Internal Potential, External Potential]]>
<![CDATA[EVALUASI PEMBAGIAN RASKIN DI KABUPATEN BANTUL TAHUN 2007 DENGAN PENDEKATAN VULNERABILITY ANALYSIS AND MAPPING (VAM) ]]>
<![CDATA[ JEJAK Vol 3, No 1 (2010): March 2010 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jejak.v3i1.4664
<![CDATA[The goal of raskin program is to give the protection to the poor and vulnerability families by given the subsidized rice although they meet the nutrition need and reduce the poor families expenditure. Targeting the poor families eligible often not efficient. Bad targeting give the impact to the raskin program, some of program benefit leaked to non needy families. The research attempted to determine the area or region in Bantul the could be categorized into food vulnerability using VAM methods so they would be the targer of raskin program. The data used in the research were secondary data consist of classification and leveling family data in all area in Bantul in the year 2006 and raskin allocation data in Bantul in the year 2007. The finding of this research indicated that 17 areas observed, only 3 areas could be categorized in highest vulnerability, 7 areas categorized in high vulnerability, 2 areas categorized in medium vulnerability, 1 areas categorized in low vulnerability, 4 areas categorized in lowest vulnerability.]]>
