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Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

This study analyzes the level of economic development disparity among regions in East Java Province during the period 2009–2023 using the Klassen Typology approach. The study aims to map the classification of regions based on economic growth rates and per capita GRDP to identify spatial disparities among the 38 districts/cities in the province. The analysis results indicate significant inequality, with regions such as Surabaya, Sidoarjo, and Gresik consistently categorized as advanced and rapidly growing areas (Quadrant I), while regions such as Sampang, Pamekasan, and Bondowoso fall into the underdeveloped category (Quadrant IV). This phenomenon shows that the economic spillover effect from growth centers to surrounding regions remains suboptimal and suggests the need for spatially-based policy interventions. This study provides important implications for formulating more inclusive regional development policies and recommends further quantitative analysis to identify the determinants of inequality in greater depth.

This study aims to analyze the structure and shifts in the economy of the livestock subsector in South Lampung Regency to identify base and prospective commodities, concentrated and distinctive commodities, fast-growing and highly competitive commodities, and those with the highest economic shifts, collectively referred to as leading commodities. The data used are secondary data from the Central Bureau of Statistics and the Department of Livestock and Animal Health of South Lampung Regency. The commodities analyzed include 12 types of livestock distributed across 17 sub-districts, with a total of 204 observation units. The analytical methods used include Location Quotient (LQ) and Dynamic Location Quotient (DLQ) to identify base and prospective commodities; Localization Index (LI) and Specialization Index (SI) to assess commodity concentration and distinctiveness; and Shift Share Analysis (SSA) to measure growth, competitiveness, and net shifts. Quadrant classification at each stage was performed using the Klassen Typology. The results indicate that 61 observation units of commodity-subdistricts are classified as base and prospective commodities, and 10 of these also meet the criteria for concentration, distinctiveness, rapid growth, and high competitiveness. The commodity with the highest net shift value is broiler chickens in Tanjung Sari Sub-district, making it a leading commodity in South Lampung’s livestock subsector.

Rebana Metropolitan Area is designed as an economic growth center in the northeastern part of West Java by emphasizing integrated and sustainable investment. Cirebon Regency acts as a buffer zone as well as an Industrial Designation Area (KPI) which has great potential in supporting regional economic growth. This study aims to identify the leading sectors of Cirebon Regency that can be optimized in regional economic development. The method used is quantitative descriptive analysis with the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology approaches to identify base sectors and prospective sectors. The results of the analysis show that Cirebon Regency has nine basic sectors and eleven prospective sectors that have the potential for further development. Some of the main sectors, such as manufacturing industry, trade, and agriculture, still face challenges of competitiveness and integration with other regions in the Rebana Region. Therefore, a development strategy is needed that focuses on strengthening developing sectors to become leading sectors and encouraging underdeveloped sectors to transform to become more competitive. In conclusion, optimizing the leading sectors in Cirebon Regency can support more sustainable economic growth in the Rebana Metropolitan Area through targeted economic planning.