IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB

This study aims, first, identify the economic position of each district in terms of economic growth and Barlingmascakeb per capita income level. Second, identify the dominant different districts of the economic structure Barlingmascakeb. Third, Identify differences in the economic structure of the d...

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Autores principales:	Diah Setyorini Gunawan, Ratna Setyawati Gunawan
Formato:	article
Lenguaje:	EN
Publicado:	Universitas Muhammadiyah Yogyakarta 2008
Materias:	basic sector potential sector basic sub sector potential sub sector economic structure Economic theory. Demography HB1-3840
Acceso en línea:	https://doaj.org/article/b06fc2d3b3e94ef0a1fe4a35d0d81d08
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spelling	oai:doaj.org-article:b06fc2d3b3e94ef0a1fe4a35d0d81d082021-12-02T12:15:28ZIDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB1411-99002541-5506https://doaj.org/article/b06fc2d3b3e94ef0a1fe4a35d0d81d082008-04-01T00:00:00Zhttps://journal.umy.ac.id/index.php/esp/article/view/1525https://doaj.org/toc/1411-9900https://doaj.org/toc/2541-5506This study aims, first, identify the economic position of each district in terms of economic growth and Barlingmascakeb per capita income level. Second, identify the dominant different districts of the economic structure Barlingmascakeb. Third, Identify differences in the economic structure of the district members Barlingmascakeb. This study used the period 1995-2002, secondary data consisting of regional gross domestic product (GDP), including oil and gas on the basis of constant prices of 1993, Fourthly, identify the districts that have the most advantageous position in terms of levels of accessibility. This study uses secondary data for the period 1995-2002, which consists of gross regional domestic product (GRDP), including oil and gas based on constant prices of 1993, total population, distance inter district/city, number of tourists housed in hotels, the amount of bus company and the number of vehicles, number of hotel. This research uses Klassen typology analysis, growth models (MRP) analysis, the location quotient analysis (LQ), Divergence Index Krugman analysis, and connectivity analysis quotient data (CQ). The results of the study, Cilacap is included in the classification of fast forward and fast-growing. Purbalingga included in the classification of areas of rapid growth. District Banjarnegara, Banyumas and Kebumen district included in the classification of relatively left behind areas.Diah Setyorini GunawanRatna Setyawati GunawanUniversitas Muhammadiyah Yogyakartaarticlebasic sectorpotential sectorbasic sub sectorpotential sub sectoreconomic structureEconomic theory. DemographyHB1-3840ENJurnal Ekonomi & Studi Pembangunan, Vol 9, Iss 1, Pp 26-43 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	basic sector potential sector basic sub sector potential sub sector economic structure Economic theory. Demography HB1-3840
spellingShingle	basic sector potential sector basic sub sector potential sub sector economic structure Economic theory. Demography HB1-3840 Diah Setyorini Gunawan Ratna Setyawati Gunawan IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
description	This study aims, first, identify the economic position of each district in terms of economic growth and Barlingmascakeb per capita income level. Second, identify the dominant different districts of the economic structure Barlingmascakeb. Third, Identify differences in the economic structure of the district members Barlingmascakeb. This study used the period 1995-2002, secondary data consisting of regional gross domestic product (GDP), including oil and gas on the basis of constant prices of 1993, Fourthly, identify the districts that have the most advantageous position in terms of levels of accessibility. This study uses secondary data for the period 1995-2002, which consists of gross regional domestic product (GRDP), including oil and gas based on constant prices of 1993, total population, distance inter district/city, number of tourists housed in hotels, the amount of bus company and the number of vehicles, number of hotel. This research uses Klassen typology analysis, growth models (MRP) analysis, the location quotient analysis (LQ), Divergence Index Krugman analysis, and connectivity analysis quotient data (CQ). The results of the study, Cilacap is included in the classification of fast forward and fast-growing. Purbalingga included in the classification of areas of rapid growth. District Banjarnegara, Banyumas and Kebumen district included in the classification of relatively left behind areas.
format	article
author	Diah Setyorini Gunawan Ratna Setyawati Gunawan
author_facet	Diah Setyorini Gunawan Ratna Setyawati Gunawan
author_sort	Diah Setyorini Gunawan
title	IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
title_short	IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
title_full	IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
title_fullStr	IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
title_full_unstemmed	IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB
title_sort	identifikasi pengembangan wilayah kabupaten-kabupaten anggota lembaga regional barlingmascakeb
publisher	Universitas Muhammadiyah Yogyakarta
publishDate	2008
url	https://doaj.org/article/b06fc2d3b3e94ef0a1fe4a35d0d81d08
work_keys_str_mv	AT diahsetyorinigunawan identifikasipengembanganwilayahkabupatenkabupatenanggotalembagaregionalbarlingmascakeb AT ratnasetyawatigunawan identifikasipengembanganwilayahkabupatenkabupatenanggotalembagaregionalbarlingmascakeb
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IDENTIFIKASI PENGEMBANGAN WILAYAH KABUPATEN-KABUPATEN ANGGOTA LEMBAGA REGIONAL BARLINGMASCAKEB

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