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<![CDATA[Analisis Input-Output Produksi Tebu di Provinsi Jawa Timur ]]>
<![CDATA[Duwi Yunitasari]]>;
<![CDATA[Teguh Hadi Priyono]]>
<![CDATA[ Buletin Tanaman Tembakau, Serat & Minyak Industri Vol.13 No. 1 (2021) April 2021 ]]>
Publisher : <![CDATA[Balai Penelitian Tanaman Pemanis dan Serat ]]>
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DOI: 10.21082/btsm.v13n1.2021.36-47
<![CDATA[ABSTRAKTebu sebagai bahan baku industri gula merupakan salah satu komoditi perkebunan yang mempunyai peran strategis dalam perekonomian di Indonesia. Penelitian ini bertujuan untuk menganalisis kontribusi keterkaitan ke depan dan ke belakang komoditas tebu terhadap pertumbuhan ekonomi di Jawa Timur, dan kontribusi dampak pengganda (multiplier effect) yang ditimbulkanya terhadap multiplier output dan pendapatan di Jawa Timur. Metode yang digunakan adalah perhitungan Tabel Input-Output dari data Badan Statistik Nasional tahun 2015. Hasil penelitian menunjukkan bahwa budi daya tebu sebagai input antara untuk industri gula yang bersifat hilir, keterkaitannya sangat tinggi. Keberadaan sektor tebu kurang kuat pengaruhnya dalam meningkatkan output pada sektor tebu dan sektor-sektor ekonomi secara keseluruhan. Pengganda pendapatan usaha tani tebu adalah tipe I dan tipe II yang bermakna bahwa sektor tebu cukup besar dalam meningkatkan pendapatan dari usaha tani tebu dan sektor-sektor ekonomi secara keseluruhan. ABSTRACTInput-Output Analysis of Sugarcane Production in East Java Sugar cane as a raw material for the sugar industry has a strategic role in the economy in Indonesia. This study aims to analyze the contribution of forward and backward linkages of sugarcane to economic growth in East Java, and the contribution of the multiplier effect on the multiplier output and income in East Java. The method used was the calculation of the Input-Output Table from the 2015 National Statistics Agency data. The results showed that sugarcane cultivation as an intermediate input for the downstream sugar industry, had a very high relationship. The existence of the sugarcane sector was less powerful in increasing the output of the sugarcane sector and overall economic sectors. However, the income multipliers of sugarcane farming are type I and type II, which means that the sugarcane sector is quite large in increasing the income from sugarcane farming and the overall economic sectors. ]]>
<![CDATA[Pemodelan Pertumbuhan Ekonomi Jawa Timur Dengan Pendekatan Ekonometrika Panel Spasial ]]>
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Moh. Zainul Alam]]>;
<![CDATA[Siswoyo Hari Santoso]]>
<![CDATA[ MediaTrend Vol 14, No 2 (2019): OKTOBER ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v14i2.5192
<![CDATA[Adanya proses pembangunan di suatu wilayah menunjukkan bahwa wilayah tersebut berupaya untuk mencapai kesejahteraan masyarakatnya, indikator untuk melihat keberhasilan pembangunan suatu wilayah dapat dilihat dari laju pertumbuhan ekonominya. Adanya keterkaitan (dependensi) spasial yang saling berkaitan dapat mempengaruhi pertumbuhan ekonomi wilayah satu dengan wilayah disekitarnya, sehingga diperlukan pendekatan ekonometrika spasial yang dapat digunakan dalam analisis pemodelan pertumbuhan ekonomi antar wilayah yang berdekatan. Model spasial yang digunakan yaitu Langgrange Multiplier (LM) yang terdiri dari Spatial Autoregresive Model (SAR) dan Spatial Error Model (SEM) dengan menggunakan aplikasi Open Geoda. Pembobot spasial menggunakan Rook contiguity (persinggungan sisi). Hasil pengujian efek spasial menunjukkan model SAR yang digunakan dalam pemodelan pertumbuhan ekonomi kabupaten/kota di Jawa Timur. Analisis dari uji model terbaik juga menunjukkan bahwa model SAR lebih baik dibandingkan dengan OLS. Kriteria pemilihan model terbaik berdasarkan hasil AIC terkecil 98,7394 dan R-Squared terbesar sejumlah 0,51%. Hasil interaksi spasial kabupaten/kota di Provinsi Jawa Timur cukup tinggi yaitu sebesar 0,6180 dari rentan nilai 0 sampai dengan 1. Dampak tersebut dilihat melalui nilai intercept model sebesar 14,9219, dimana hasilnya menunjukkan bahwa aspek spasial berpengaruh terhadap kenaikan pertumbuhan ekonomi di masing-masing kabupaten/kota di Jawa Timur. Dengan variabel signifikan terhadap laju pertumbuhan ekonomi adalah pendapatan asli daerah dengan elastisitas sebesar 1,1701, belanja modal dengan elastisitas sebesar -2,7149, namun untuk variabel tenaga kerja tidak signifikan pengaruhnya terhadap laju pertumbuhan pada kabupaten/kota di Provinsi Jawa Timur.]]>
<![CDATA[ANALISIS PDRB SEKTOR INDUSTRI DENGAN PENDEKATAN REGRESI SPASIAL: STUDI KASUS INDONESIA 2011-2015 ]]>
<![CDATA[Defi Nofitasari]]>;
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Lilis Yuliati]]>
<![CDATA[ MediaTrend Vol 13, No 1 (2018): Maret ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v13i1.3591
<![CDATA[Spatial analysis of econometric GRDP of industrial sector is one of regional econometrics study in an effort to define economic phenomenon which many developed by economic theories into mathematical form. This study aims to determine whether there is spatial influence between provinces in Indonesia, and how the influence of labor and investment variables to GRDP of industry sector in Indonesia. This study uses panel data from 2011-2015 which averaged and then processed using Geoda software, and the selected model is Spatial Error Model (SEM). The result shows that there is spatial inter-provincial relation with negative direction, which means that if there is an increase of GRDP of industry in study area will decrease GRDP of industry in neighboring region. Labor variable has a significant positive effect on the GRDP of industry, which means that if there is an increase in manpower will increase the GRDP of industry. Investment variable has positive significant positive effect, which means that if there is an increase of investment it will increase the GRDP of industry. In brief, this research can help the government to establish policies on the industrial sector and other economic sectors by considering the spatial aspects.]]>
<![CDATA[Dampak Pariwisata Terhadap Tingkat Kemiskinan di Lima Negara ASEAN ]]>
<![CDATA[Zainuri Zainuri]]>;
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Almanda Varazizah]]>
<![CDATA[ e-Journal Ekonomi Bisnis dan Akuntansi Vol 8 No 2 (2021): e-JEBA Volume 8 Number 2 Year 2021 ]]>
Publisher : <![CDATA[UPT Penerbitan Universitas Jember ]]>
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DOI: 10.19184/ejeba.v8i2.26771
<![CDATA[Tourism is one of the economic development strategies to reduce poverty by increasing the country's foreign exchange income in developing countries. This study aimed to analyze the impact of tourism on poverty in five ASEAN countries, namely Indonesia, Malaysia, Vietnam, the Philippines, and Thailand. The data used in this study is quantitative data with secondary data types from 2000 - 2019. The analysis method used in this research method is a panel data analysis method with the Fixed Effect Model(FEM) model. In contrast to previous research, the study examined monetary variables to use financial inclusion to determine poverty rates with coverage in five ASEAN countries. The results showed that investment variables, employment rates, and financial inclusion in the tourism sector consistently reduced poverty rates in the five ASEAN countries. In contrast, tourist consumption variables did not affect poverty rates.]]>
<![CDATA[Faktor-Faktor Yang Mempengaruhi Tingkat Kemiskinan di Provinsi Jawa Timur ]]>
<![CDATA[Dwi Bagus Mei Alfianto]]>;
<![CDATA[Nanik Istiyani]]>;
<![CDATA[Teguh Hadi Priyono]]>
<![CDATA[ e-Journal Ekonomi Bisnis dan Akuntansi Vol 6 No 1 (2019): e-JEBA Volume 6 Nomor 1 Tahun 2019 ]]>
Publisher : <![CDATA[UPT Penerbitan Universitas Jember ]]>
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DOI: 10.19184/ejeba.v6i1.11108
<![CDATA[Development must be done in an integrated and sustainable, one of them with direct development on areas that have a low level of well-being so that the problem of poverty level can be resolved. This research aims to know the magnitude of the influence of population, human development index (HDI) and gross Regional domestic product (GDP) against the level of poverty in East Java province. This study uses secondary data in the form of poverty levels, population, human development index (HDI) and gross Regional domestic product (GDP) in 10 regencies in East Java province which includes the Districts of Sampang, Bangkalan Regency Regency Probolinggo Regency, Sumenep, Pamekasan Regency of Tuban, Bojonegoro, district of Pacitan Regency, the districts of Wonogiri and Lamongan which has the highest rate of poverty in East Java province year 2010-2015. With the analysis tools used is regression of the data panel. The results of this research show that the panel data analysis tools with the population and human development index (HDI) has a negative influence and significantly to the level of poverty in East Java province year 2010 – 2015, while Domestic Products (GDP) gross regional influence positively and significantly to the level of poverty in East Java province year 2010 – 2015. Keywords: Human Development Index (HDI), Population, Gross Regional Domestic Product (GDP), The Level of Poverty.]]>
<![CDATA[Konvergensi Pertumbuhan Ekonomi Kota dan Kabupaten Klaster Metropolitan Jawa Timur ]]>
<![CDATA[Nanda Mutya Atmasari]]>;
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Sebastiana Viphindrartin]]>
<![CDATA[ e-Journal Ekonomi Bisnis dan Akuntansi Vol 7 No 2 (2020): e-JEBA Volume 7 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[UPT Penerbitan Universitas Jember ]]>
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DOI: 10.19184/ejeba.v7i2.17867
<![CDATA[The determination of the territorial clusters serves as the target of territorial development policies in order to increase equitable distribution of economic, infrastructure, social and cultural growth throughout East Java. This study aims to determine whether there is a decline in the economic growth gap every year (sigma convergence) and whether there is an acceleration of low economic growth to high economic growth (convergence beta) in the cities and districts of the East Java metropolitan cluster on 2015-2018. This research uses secondary data. The analytical method used in this study is convergence analysis and panel data regression analysis. The results showed that there was no decrease in the economic growth gap every year (sigma convergence) and there was no acceleration of low economic growth to high economic growth (beta convergence) in cities and districts of the East Java metropolitan cluster on 2015-2018. The estimation results of the regression analysis for beta convergence, both absolute and conditional, also show that there is no convergence in cities and districts in the East Java metropolitan cluster in the research year. The HDI and PMTB variables have not been able to encourage convergence of economic growth in cities and regencies in the metropolitan cluster of East Java. .]]>
<![CDATA[ANALISIS RISK-TAKING BEHAVIOR SEKTOR PERBANKAN DALAM MERESPON BAURAN KEBIJAKAN BANK INDONESIA ]]>
<![CDATA[Fadili Fadili]]>;
<![CDATA[Zainuri Zainuri]]>;
<![CDATA[Teguh Hadi Priyono]]>
<![CDATA[ UNEJ e-Proceeding 2018: Prosiding Seminar Nasional Manajemen dan Bisnis III (SNMB3) ]]>
Publisher : <![CDATA[UPT Penerbitan Universitas Jember ]]>
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<![CDATA[AbstrakGlobal financial crisis (GFC) telah menyita banyak perhatian para ekonom global dan pemangkukebijakan moneter di seluruh dunia khususnya di negara berkembang. Tujuan penelitian iniadalah mengidentifikasi perilaku ambil risiko di bank konvensional dan bank syariah dalammerespon bauran kebijakan yang ditempuh Bank Indonesia berdasarkan prospect theory yangberlaku dalam industri perbankan. Implikasinya adalah menentukan kerangka baurankebijakan yang efisien agar tidak menimbulkan risiko yang berlebihan di bank konvensionaldan di bank syariah. Bauran kebijakan Bank Indonesia terdiri dari kebijakan moneter berupapenetapan suku bunga acuan dan kebijakan makroprudensial berupa penentuan LTV/FTV(loan to value/financing to value) dan risiko perbankan terdiri dari risiko kepailitan atau ZScores,risiko aset dan NPL/NPF (nonperforming loan/nonperforming financing). Penelitianberlangsung dalam periode 2003M1-2018M3 untuk bank konvensional dan dalam periode2014M6-2018M3 untuk bank syariah. Analisis dalam penelitian menggunakan model VectorError Correction Mode (VECM), dengan model pada bank konvensional adalah VECM (2) danpada bank syariah adalah VECM (4). Hasil permodelan VECM dikaitkan dengan impulseresponse function (IRF) dan forecast error variance decomposition (FEVD). Hasil analisis IRFmenunjukkan bahwa kebijakan makroprudensial dapat menekan risiko perbankan daripadakebijakan suku bunga untuk bank konvensional sedangkan untuk bank syariah baik kebijakanmakroprudensial dan kebijakan moneter dapat meningkatkan risiko kepailitan.Kata kunci: Global financial crisis, bank risk-taking behavior, bauran kebijakan BankIndonesia, Vector Error Correction Model (VECM).]]>
<![CDATA[Peranan Penggunaan Fiskal Desa terhadap Kemiskinan Pedesaan di Kabupaten Jombang ]]>
<![CDATA[Chyntia Ersa Varina]]>;
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Fajar Wahyu Prianto]]>;
<![CDATA[Sunlip Wibisono]]>
<![CDATA[ Jurnal Ekonomi Akuntansi dan Manajemen Vol 21 No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Jember ]]>
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DOI: 10.19184/jeam.v21i1.29585
<![CDATA[Poverty is one of the main problems in both developed and developing countries. Various factors that can cause poverty include low investment levels, slow economic growth, uneven infrastructure development, ineffective government spending on poverty alleviation programs. The government has not been effective in allocating the APBN or APBD in the poverty program so that poverty still cannot be overcome. As we know that poverty is one of the conditions discussed by the community, one of which is in Jombang Regency. The purpose of this study was to determine the role of village fiscal on poverty that occurred in Jombang Regency. This type of research is explanatory research with secondary data type in the form of panel data consisting of time series data for 2010-2019 and cross-section data of 8 villages in Jombang Regency. Analysis of the data in this study using Multiple Regression. The test results of this study indicate that the APBDes Infrastructure budget has a negative and significant effect on poverty in Jombang Regency. Poverty subsidy APBDes has a negative and significant effect on poverty in Jombang Regency. While the BUMDES economic APBDes has a positive effect on poverty. The influence of the independent variable on the dependent variable has an effect of 99.99% as well as a measure of the success rate of regression in predicting the value of the independent variable on the dependent. Keywords: Poverty, APBDes, Panel Data Regression]]>
<![CDATA[Analisis Input-Output Produksi Tebu di Provinsi Jawa Timur ]]>
<![CDATA[Duwi Yunitasari]]>;
<![CDATA[Teguh Hadi Priyono]]>
<![CDATA[ Buletin Tanaman Tembakau, Serat & Minyak Industri Vol.13 No. 1 (2021) April 2021 ]]>
Publisher : <![CDATA[Balai Penelitian Tanaman Pemanis dan Serat ]]>
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DOI: 10.21082/btsm.v13n1.2021.36-47
<![CDATA[ABSTRAKTebu sebagai bahan baku industri gula merupakan salah satu komoditi perkebunan yang mempunyai peran strategis dalam perekonomian di Indonesia. Penelitian ini bertujuan untuk menganalisis kontribusi keterkaitan ke depan dan ke belakang komoditas tebu terhadap pertumbuhan ekonomi di Jawa Timur, dan kontribusi dampak pengganda (multiplier effect) yang ditimbulkanya terhadap multiplier output dan pendapatan di Jawa Timur. Metode yang digunakan adalah perhitungan Tabel Input-Output dari data Badan Statistik Nasional tahun 2015. Hasil penelitian menunjukkan bahwa budi daya tebu sebagai input antara untuk industri gula yang bersifat hilir, keterkaitannya sangat tinggi. Keberadaan sektor tebu kurang kuat pengaruhnya dalam meningkatkan output pada sektor tebu dan sektor-sektor ekonomi secara keseluruhan. Pengganda pendapatan usaha tani tebu adalah tipe I dan tipe II yang bermakna bahwa sektor tebu cukup besar dalam meningkatkan pendapatan dari usaha tani tebu dan sektor-sektor ekonomi secara keseluruhan. ABSTRACTInput-Output Analysis of Sugarcane Production in East Java Sugar cane as a raw material for the sugar industry has a strategic role in the economy in Indonesia. This study aims to analyze the contribution of forward and backward linkages of sugarcane to economic growth in East Java, and the contribution of the multiplier effect on the multiplier output and income in East Java. The method used was the calculation of the Input-Output Table from the 2015 National Statistics Agency data. The results showed that sugarcane cultivation as an intermediate input for the downstream sugar industry, had a very high relationship. The existence of the sugarcane sector was less powerful in increasing the output of the sugarcane sector and overall economic sectors. However, the income multipliers of sugarcane farming are type I and type II, which means that the sugarcane sector is quite large in increasing the income from sugarcane farming and the overall economic sectors. ]]>
<![CDATA[The Convergence of Economic Growth between District/Cities in Papua Province ]]>
<![CDATA[Theresia Oktavia]]>;
<![CDATA[Teguh Hadi Priyono]]>;
<![CDATA[Duwi Yunitasari]]>
<![CDATA[ Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 3 (2021): Budapest International Research and Critics Institute August ]]>
Publisher : <![CDATA[Budapest International Research and Critics University ]]>
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DOI: 10.33258/birci.v4i3.2200
<![CDATA[Differences in economic growth, geographical conditions, and potential between regions cause development inequality. Therefore, there is a need for inter-regional convergence. The convergence will explain the equality of economic growth between regions. Papua Province has 29 regencies/cities with different economic characteristics and inequality. The purpose of this study was to determine the convergence in Papua Province based on the concept of convergent sigma and beta. This research was conducted using panel data regression analysis techniques. The research method used is sigma convergence, absolute beta convergence, and conditional beta convergence. The results of this study are the existence of sigma convergence, absolute beta convergence, and conditional beta convergence between districts/cities in Papua Province in 2010-2020. In addition, there is a positive and significant correlation between education, electricity, and economic growth, but there is no significant relationship between roads, vehicles, and economic growth.]]>
