Analisis Potensi Sektor Ekonomi Unggulan Kota dan Kabupaten Pada Kawasan Gerbangkertosusila Plus Periode 2011-2023

Wibowo, Vicky Meylani Roulva (2025) Analisis Potensi Sektor Ekonomi Unggulan Kota dan Kabupaten Pada Kawasan Gerbangkertosusila Plus Periode 2011-2023. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan untuk menganalisis potensi sektor ekonomi unggulan di Kawasan Gerbangkertosusila Plus, Jawa Timur, yang merupakan motor penggerak utama perekonomian regional dan kontributor terbesar ekonomi provinsi. Kawasan ini mencakup Kota Surabaya, Kota Mojokerto, Kabupaten Mojokerto, Sidoarjo, Gresik, Bangkalan, Jombang, Lamongan, Bojonegoro, dan Tuban. Menggunakan metode analisis Location Quotient (LQ), Shift-Share, Tipologi Klassen, Analisis Gravitasi, dan Regresi Data Panel periode 2011-2023, penelitian ini mengidentifikasi sektor unggulan, kinerja, daya saing, klasifikasi sektor, interaksi antarwilayah, serta pengaruh kinerja ekonomi Surabaya terhadap wilayah penyangganya. Hasil analisis LQ menunjukkan heterogenitas sektor basis di setiap daerah. Analisis Shift-Share mengungkap dinamika daya saing beragam. Tipologi Klassen mengindikasikan disparitas signifikan. Analisis Gravitasi mengonfirmasi interaksi ekonomi terkuat antara Surabaya dengan Gresik dan Sidoarjo. Regresi Data Panel (R²=41,30% ) menunjukkan pertumbuhan PDRB Surabaya berpengaruh positif signifikan terhadap wilayah penyangga (koefisien 0,797 ), sedangkan tingkat inflasi Surabaya (koefisien -0,004352 ) dan nilai investasi Surabaya (koefisien -0,0066581 ) berpengaruh negatif signifikan. Temuan ini menggarisbawahi perlunya kebijakan pembangunan regional yang terintegrasi, terdiferensiasi sesuai potensi lokal, dan fokus pada pemerataan infrastruktur serta penguatan keterkaitan ekonomi antarwilayah untuk pertumbuhan yang berkelanjutan dan merata. =====================================================================================================================================
This study aims to analyze the potential of leading economic sectors in the Gerbangkertosusila Plus Region, East Java, which is the main driving force of the regional economy and the largest contributor to the provincial economy. This area includes Surabaya City, Mojokerto City, Mojokerto Regency, Sidoarjo, Gresik, Bangkalan, Jombang, Lamongan, Bojonegoro, and Tuban. Using Location Quotient (LQ), Shift-Share, Klassen Typology, Gravity Analysis, and Panel Data Regression analysis methods for the period 2011-2023 to identify leading sectors, performance, competitiveness, sector classification, inter-regional interactions, and the influence of Surabaya's economic performance on its supporting regions. The result of LQ analysis shows the heterogeneity of basic sectors in each region. Shift-Share analysis reveals diverse competitiveness dynamics. Klassen typology indicates significant disparities. Gravity analysis confirms the strongest economic interaction between Surabaya and Gresik and Sidoarjo. Panel Data Regression (R²=41.30%) shows Surabaya's GRDP growth has a significant positive effect on the buffer zone (coefficient 0.797), while Surabaya's inflation rate (coefficient -0.004352) and investment value (coefficient -0.0066581) have a significant negative effect. These findings underscore the need for regional development policies that are integrated, differentiated according to local potential, and focus on infrastructure equity and strengthening economic linkages between regions for sustainable and equitable growth.

Item Type: Thesis (Other)
Uncontrolled Keywords: Kawasan Gerbangkertosusila Plus; Ekonomi Regional; Location Quotient (LQ); Shift-share; Tipologi Klassen; Analisis Gravitasi; Regresi Data Panel, Gerbangkertosusila Plus Region; Regional Economy; Location Quotient (LQ); Shift-share; Klassen Typology; Gravity Analysis, Panel Data Regression
Subjects: H Social Sciences > HA Statistics > HA30.3 Time-series analysis
H Social Sciences > HA Statistics > HA30.6 Spatial analysis
H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis.
H Social Sciences > HC Economic History and Conditions > HC441 Macroeconomics.
Divisions: Faculty of Business and Management Technology > Development Studies > 60201-(S1) Undergraduate Thesis
Depositing User: Vicky Meylani Roulva Wibowo
Date Deposited: 25 Jul 2025 06:34
Last Modified: 25 Jul 2025 06:34
URI: http://repository.its.ac.id/id/eprint/121489

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