Shift-share Research Articles

Analysis of Leading Commodities of Plantation Sub-Sectors in Tanah Laut District, South Kalimantan Province

Leading commodities are crucial for understanding the potential of commodities in both national and international markets. Exceptional products can serve as distinct catalysts for regional growth. This study aims to investigate potential alternative plantation commodities, assess the development of production growth rates, analyze regional market share growth, proportional growth of net commodity growth in the plantation sub-sector, and identify the position of plantation sub-sector commodities in Tanah Laut District. Time series data from 2013 to 2021 were utilized, employing Shift Share Analysis, Location Quotient (LQ) Analysis, Dynamic Location Quotient (DLQ) Analysis, and Klassen Typology. The analysis revealed that although palm oil and cloves are basic commodities, they are experiencing a decline in perspective, whereas rubber, coconut, sugar palm, coffee, and pepper are prospective commodities for future development. Shift Share Analysis concluded that the regional market share growth of palm oil has good competitiveness and a positive Proportional Growth value, with coffee and sugar palm exhibiting rapid growth. Klassen Typology Analysis indicated that coconut, coffee, pepper, and sugar palm fall within the category of advanced but pressured sectors, while palm oil is categorized as a potential sector.

Analysis of The Leading Sector for Regional Development: A Case Study of Batam, Bintan, and Karimun (BBK), Riau Islands Province, Indonesia

Abstract: Spatial planning in Batam, Bintan, and Karimun (BBK) areas is prioritized because it has an important impact on the national economy. This research aims to identify the potential leading sectors in the BBK areas as a reference in regional development. This study uses time series data on Gross Regional Domestic Product (GRDP) based on constant prices in the BBK areas from 2011 to 2021. The analytical tools used in this research are Location Quotient to identify basic and non-basic sectors, Shift Share Analysis to determine changes and shifts in sectors, and Klassen Typology to determine the classification of sector in each region. The three analytical tools combined results demonstrate that economic growth in Batam is supported by the processing sector. A growing sector in Bintan is related to the tourism. Economic potential in Karimun dominated by the agricultural, forestry, and marine sectors. Tanjungpinang’s economic potential is dominated by the service sector, which supports the city’s role as the capital of the Riau Islands Province. However, the fisheries sector has not developed optimally. As an archipelago, regional development policies in the BBK areas should develop other sectors to optimize the maritime economic potential. Keywords: Klassen Typology, Location Quotient, Leading Sectors, National Strategic Areas, Shift Share Analysis

Economic shocks and employment shifts across industrial sectors in English regions

This paper examines changes in employment and job allocation across various industrial sectors in English regions over the years 2009–2021. The aim is to investigate regional resilience by analysing the impact of economic shocks on the make-up and productivity of English regions via dynamic shift-share analysis. The evidence reveals that employment in key industries across English regions remained largely unaffected by economic shocks, also due to the COVID-19 pandemic which prevented occupational shifts through furloughing and essential worker selection. But we also find that while comparative lack of specialisation insulated many English regions from the more damaging aspects of exogenous shocks, the resulting economic turmoil in these regions impacted key sectors differently. The findings contribute to our understanding of regional economic resilience and how it is influenced by industrial diversity, productivity, and economic policy.

Economic Sector Study and Development Strategy for the Rebana Metropolitan Area

This research analyzed potential sectors and development strategies in each city/regency in the Rebana Metropolitan Area, from 2018 to 2022. The research method used was quantitative descriptive using several analytical methods, namely Location Quotient, Shift Share, Labor Productivity Levels per Sector, and Klassen Typology. The research results show that each district/city in the Rebana Metropolitan Area has different economic characteristics, apart from that priority infrastructure projects and industrialization which are the direction of development of the Rebana Metropolitan Area have not had a significant impact on the progress of cities/regencies in the Rebana Metropolitan Area.

Contribution of Economic Development to The Development of The Mamminasata Region

Mamminasata (Makassar, Maros, Gowa, Takalar) is one of the urban or metropolitan areas in Eastern Indonesia. Mamminasata as a strategic area with economic interests has an important role in the development of its city and surrounding areas. Meanwhile, the dynamic development of the city causes demands for space needs to increase, especially the need for residential land. The objectives of this study are to 1) know economic development in the Mamminasata district/city in 2001-2021 2) know the development of built-up land in the Mamminasata district/city in 2001-2021 and 3) know the influence and contribution of economic growth to the development of the Mamminasata region. The research location is Makassar City, Maros Regency, Gowa Regency and Takalar Regency. This type of research is descriptive quantitative qualitative. The required data is collected through literature studies in the form of secondary data, namely Gross Regional Domestic Product (GRDP) at constant prices 2010, and google earth images 2001-2021. The analysis used in the research is literature study analysis, qualitative quantitative descriptive, basic statistics, LQ-DLQ, Shift Share, and multiple linear regression analysis. The result of this study is that during 2001-2021 the real income of the Mamminasata Region continued to increase. With the highest growth rate in Gowa Regency. Makassar City only has one leading sector, Maros Regency has two leading sectors, Gowa Regency has three leading sectors, and Takalar Regency has two leading sectors. Only Kabupaten Maros experienced a shift in economic structure from the tertiary sector to the primary sector in 2021 due to a significant economic decline. Spatially, sub-districts that are adjacent or directly adjacent to Makassar City have the most significant built-up land growth with developments following the main road network pattern. Based on the results of multiple linear regression analysis, it shows that there is no significant influence between the independent variables on the dependent variable either jointly or partially individually. Then the t-test was conducted again between tertiary variables and built-up land and showed a significant influence with a contribution of 33% to built-up land.

Analysis of Leading Sectors Supporting Agriculture through the LQ and Shift Share Approaches in Sumatera

This study analyzes the economic impact of agriculture on Sumatra's regional growth from 2018 to 2022, employing quantitative descriptive methods and data from the Provincial Central Statistics Agency (BPS). By utilizing Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Shift Share (SS) analyses, the research identifies key agricultural sectors contributing to economic development. Results reveal that plantation crops, forestry, fisheries, and agricultural services are significant contributors, with Riau Province showing the highest relative contribution. Cluster analysis categorizes sectors into four groups, with plantation crops and agricultural services in the second cluster. Sumatera Utara and Riau demonstrate stable economic growth. The study suggests enhancing productivity, expanding export markets, and improving infrastructure and innovation for less significant sectors. Future research should explore non-basis sectors and successful case studies to provide deeper insights into sectoral performance and economic impact.

Analysis of Leading Sectors in Padang Pariaman District and West Sumatra Province Using Methods (DLQ, SLQ, and Shift Share)

Analysis of Leading Sectors in Padang Pariaman District and West Sumatra Province Using Methods (DLQ, SLQ, and Shift Share)

Determination of Priority Sectors in Economic Development in Maluku Province

This research aims to determine priority sectors in formulating economic development policies in Maluku Province. The methods used in this research are Location Quotient (LQ), Shift Share (SS), and Klassen Typology. The research results show that based on the three methods above, the priority sectors in economic development in Maluku Province are sectors that have superiority, and competitiveness and are among advanced and rapidly developing sectors (prime sectors). These sectors are the Agriculture, Forestry, and Fisheries sectors, the Wholesale and Retail Trade sector, Car and Motorcycle Repairs, the Government Administration, Defense and Mandatory Social Security sectors, and the Education Services sector. This sector is a sector that absorbs a lot of workers. Apart from that, the primary sector is a sector that plays an important role in economic development in Maluku Province. The contribution of the agriculture, forestry, and fisheries sectors indirectly shows that the economic structure of Maluku province is still supported by the traditional economy. Then, geographically, the vast area of Maluku Province, the majority of which is water areas; however, this sub-sector has yet to become the main support for the economy of Maluku Province. For this reason, the Maluku provincial government should prioritize the superior sectors and commodities it owns while still paying attention to other industries and commodities according to their potential and development opportunities in order to encourage the growth of Maluku Province's GRDP for future regional development. The implications of this research can be recommendations for economic planning and development in Maluku Province. The implications of this study can be recommendations for economic planning and development in Maluku Province

Tren Sektor Unggulan dan Kualitas Pertumbuhan Ekonomi Kabupaten Brebes Tahun 2018-2022

The research aimed to identify the leading sectors that had the highest contribution to GRDP knows the growth trend of leading sectors, and economic growth quality in Brebes Regency. Analyzed data were collected from BPS, these were GRDP, income per capita, total population, economic growth, and poverty level. Analyse instruments used in the research were location quotient, shift share, Klassen tipology, simple linear regression, Duncan multiple range test, and Williamson index. The leading sector that had the highest contribution to Brebes Regency was agriculture, forestry, and fisheries; the growth trend of leading sectors in 2018-2022 was linear; and, the disparities in the value of income per capita in Brebes compared with neighbor regency/city approached the medium classification. Lastly, the quality of economic growth in the Brebes Regency was poor, measured by the high poverty level.

Increasing Agricultural Sector Investment through Sectors and Regional Leading Products in Central Java Province

This article aims to analyze the advantages and competitiveness of agricultural sectors and sub-sectors that have advantages in the economy of Central Java Province. The analytical tools used to determine the leading sectors and sub-sectors are location quotient (LQ), Klassen Analysis, Shift Share Analysis, and Sectoral Typology. By using data from 2023, it was found that overall, most of the sub-fields in the agriculture, forestry and fisheries business sector of Central Java Province were categorized as competitive sectors. The subsector that is not categorized as competitive is food crops. The agriculture, forestry and fisheries sector is categorized as an advanced business field and its growth is very fast, but the forestry and logging, fisheries sub-sector has a slow growth speed but is a growing industry. The agriculture, livestock, hunting, and agricultural services sub-fields have very fast and advanced growth so that they can become regional superior potential. The commodities of food crops and plantation crops still need further attention because the speed of growth is still hampered, although the industry has potential and is developing.

Analisis Sektor Unggulan yang Ada di Kabupaten Mojokerto Jawa Timur

This study aims to determine the leading sectors and sectors that must be prioritized in Mojokerto Regency. This study uses secondary data from Gross Regional Domestic Product (GRDP) of Mojokerto Regency and East Java Province in 2015-2016. The analytical tools used in this study are: 1). Location Quotient Analysis (LQ), 2) Dynamiq Location Quotient Analysis (DLQ), 3) Shift-Share Analysis and 4) Klassen Typology. The results of the analysis by sector shows that the sector which is the leading sector in Mojokerto Regency with criteria classified as the base and competitive sector is the manufacturing sector. For the sectors that must be prioritized in Mojokerto Regency are the manufacturing and real estate sectors.

Analisis Sektor Basis di Kabupaten Sampang

In this study, the aim was to find out the base sector of Sampang Regency on Madura Island, through the GRDP data of Sampang Regency. The analysis used uses several analyzes, namely analysis of Location Quotion (LQ), Dynamic Local Quotion (DLQ), Shift-Share (SS), Growth Ratio Model (MRP). Based on the analysis conducted, it can be seen that several sectors in Sampang Regency have good potential, such as the Agriculture, Forestry and Fisheries sector, Mining and Excavation, and the Compulsory Government, Defense & Social Security sectors. By knowing the sectors that have potential and those that are still lagging behind in Sampang Regency, it can become a material for the Sampang Regency Government to make policies toincrease the value of GDP and economic growth in Sampang Regency.

Analysis of Regional Economic Resilience through Comparative Advantages of Sectoral Growth

The objective of this study is to analyze the economic resilience of regions during the COVID-19 period that affected the Indonesian regional economy. Economic resilience can be identified by examining the development of leading sectors in the regional economy. This study uses secondary data in the form of time series using Gross Regional Domestic Product (GRDP) data obtained from the Central Bureau of Statistics of Batu City, the Central Bureau of Statistics of Malang City, and the Central Bureau of Statistics of Kediri City from 2018 to 2021. All three cities are located in East Java Province, Indonesia. The analysis in this study involves using three methods: Location Quotient, Shift Share, and Klassen typology. The analysis results reveal that Batu City and Malang City show strong competitiveness and comparative advantages. On the other hand, Kediri City demonstrates relatively low competitiveness and comparative advantage, which can be attributed to the impact of the COVID-19 shock. Additionally, research results show that the sectors in Malang City have experienced rapid growth, with all sectors developing faster than in other regions. In contrast, the sectors contributing to Batu and Kediri’s Gross Regional Domestic Product (GRDP) have experienced delayed development. The results of this study confirm that regional economic resilience still exists through the development of sectoral businesses that contribute to the overall value of Gross Regional Domestic Product in various regencies and cities within East Java Province. Keywords: basic sector, resilience, shift share, location quotient, regional economy

Conceptualisation of the SHIFT–SHARE: A New Strategic Healthcare Implementation Framework for Task Shifting, Sharing and Resource Enhancement

Conceptualisation of the SHIFT–SHARE: A New Strategic Healthcare Implementation Framework for Task Shifting, Sharing and Resource Enhancement

A Ternary Diagram Approach to Investigate the Competition within the Bohai Sea Rim Multi-Port Group

The Bohai Rim region constitutes the third prominent “growth pole” in China’s economic landscape, wherein the Bohai Rim multi-port system, encompassing Tianjin Port, Dalian Port, and Qingdao Port, engages in intense competition to establish itself as the foremost shipping hub in northern China. This study compares the ternary diagram method and employs the comprehensive concentration index (CCI), Lerner index (LI), and spatial shift-share analysis (SSSA) methods to delve into the intricacies of concentration, inequality, and evolving competitive dynamics within the Bohai Rim multi-port system over the four decades spanning from 1981 to 2023. The aim is to analyze the evolutionary trajectory and underlying dynamic mechanisms of this multipartite port system. The analysis delineates the development trajectory of the system into three stages: the dominant stage of Tianjin Port from 1981 to 1990, the efficiency competition stage from 1991 to 1996, and the ascendancy of Qingdao Port from 1997 to 2023. The results indicate that: (i) the Bohai Rim multi-port system exhibits a relatively low level of concentration, ensuring balanced growth within a non-monopolistic competitive environment; (ii) the internal competitiveness of the Bohai Rim multi-port system has gradually shifted from Tianjin Port to Qingdao Port, with Dalian Port experiencing steady development in its container transport capabilities. (iii) Dalian Port has witnessed a decline in container throughput since 2015, indicating a weakening competitive posture. These revelations suggest that Qingdao Port is a viable candidate for development into the northern China shipping center, leveraging its increasing competitiveness and strategic location. The method applied in this study may also prove beneficial for similar multi-port systems elsewhere.

How is Economic Structure Transformed? Evidence: West Kalimantan Province of Indonesia

The Covid19 pandemic hit negatives contraction in economic structure. In West Kalimantan province, despite negative growth, primary and secondary sectors surprisingly drive positives contraction on the growth of mining, electricity, and agriculture. Based on this situation, we investigate the possibility of the structural transformation process during the pandemic. We translate Lewis's transformation theory to the chart of primary, secondary, and tertiary to see how the trendlines work generally. We use Static-Dynamic Location Quotient, Klassen typology, and Shift Share analysis, then discover negatives contraction in 2020 not significantly affected each sectors, but the pattern indicates the failed of transformation process between tertiary-primary, and the primary naturally proved as the main sector in economic structure. The critical point of our finding is the failure of structural transformation process potentially caused and locked by the failure of labour shifting.

Analisis Determinan Sektor Pertanian dan Sub Sektor Unggulan di Kabupaten Muaro Jambi

This research aims to determine the contribution of the agricultural sector to the GRDP of Muaro Jambi Regency, to determine and analyze what factors influence the growth of GRDP in the agricultural sector in Muaro Jambi Regency, and to determine and analyze the leading agricultural sector in Muaro Jambi Regency. Analysis year 2002-2022. The analytical method used is quantitative descriptive analysis and qualitative analysis. The results of the research show that the economic growth of Muaro Jambi Regency in 2002-2022 is 39.38%, the factors that influence the growth of GRDP in the agricultural sector in Muaro Jambi Regency are the area of agricultural land and investment in the agricultural sector, while the workforce in the agricultural sector and agricultural production are not has a significant effect on the growth of GRDP in the agricultural sector in Muaro Jambi Regency. The leading agricultural sector in Muaro Jambi Regency, as a result of location quotient analysis, is that there are 8 economic sectors classified as basic sectors and 9 non-basic sectors. The results of the dynamic location quatient analysis show that there are 8 economic sectors that have prospective potential and there are 9 economic sectors that do not have prospective potential. The results of the classic shift share analysis show that Jambi Province influences the increase in GDP of Muaro Jambi Regency, the highest economic shift value is in the primary sector, the second secondary sector and the third tertiary sector.

Analisis Penentuan Komoditas Unggulan Hortikultura di Kecamatan Way Jepara, Kabupaten Lampung Timur

Regional development is carried out through two approaches, namely the regional approach and the sectoral approach. The sectoral approach is believed to be able to grow the regional economy to achieve comparative and competitive advantages. The agricultural sector is one of the main contributors to the GRDP value in almost all regions of Indonesia. Way Jepara Sub-district depends on the results of the agricultural sector. Based on the RPJMD document, Way Jepara District has 4 (four) superior agricultural commodities. The research objective is to identify superior commodities in order to encourage economic growth in Way Jepara. The data collected is secondary data in the form of commodity production results in 2017-2022. Analysis techniques used Location Quotient, Shift Share and SWOT in strategy formulation. Researchers found that there are three products that are included in the superior classification, namely rice, cocoa and cassava. Development strategies that need to be carried out are improving infrastructure; improving the quality of human resources; and strengthening institutions.

Pemetaan Daya Saing Produk Industri Kreatif di Sumatera Barat

This research aims to determine the level of economic competitiveness through competitive sectors based on shift-share analysis, leading sectors based on Location Quotient analysis, creative industry mapping, and creative industry product potential in West Sumatra. This research is field research using survey methods. The approach method uses a quantitative and qualitative descriptive approach. The research results show that based on the results of the shift-share analysis there are seven competitive sectors, namely wholesale and retail trade sector, followed by construction, educational services, mining and quarrying, government administration, provision of accommodation and food and drink, services others, while tourism has not been able to compete. Based on the results of the Location Quotient analysis, there are 13 basic and superior business sectors, and the tourism sector which is among the most basic or superior sectors in West Sumatra. The results of mapping the creative industries in West Sumatra showed that Tanah Datar is the area with the most creative workers. Most of the creative industry potential in culinary businesses and is located in Tanah Datar, Pesisir Selatan, Payakumbuh, Padang Panjang, South Solok, Solok, Sinjunjung, Limapuluh Kota, Dharmasraya, Pariaman Districts.

ANALISIS STRUKTUR PEREKONOMIAN DAN PERTUMBUHAN EKONOMI DI KABUPATEN BANYUMAS

Economic growth is the process of changing the condition of a country continuously towards the better during a period of time. The existence of economic growth is an indication of the success of economic development. The objective of this research is to find out the contribution to the development of pre-economic structures and economic growth in Banyumas district in 2021 and 2022, to know which sectors are the basis and non-base sectors in the economic structure development and growth of Banyumas district, to know the changes in the superior sector in the structure of the economy of Banyumas District. This research uses secondary data such as Gross Regional Domestic Product (GDP) data, and the rate of economic growth of Banyumas district. The analysis method used is Location Quotient (LQ), Shift Share (SS). From the results of the analysis of the calculation of the LQ sectors that have a value of LQ > 1 i.e. the sector of Processing, Construction, and Procurement of Electricity and Gas, and the sector that has a LQ < 1 i.e. agriculture, Forestry and Fisheries, Mining and Demolition, as well as Information and Communications, from the result of the shift share (SS) indicated that pointing out that there are some sectors that have the potential to be positive