Regional Competition in the International Market for Services: A Shift-Share Analysis

Oyewole, Philemon

doi:10.1080/08911762.2015.1119918

Cited by 8 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The shift-share analysis combines dual principals, i.e., spatial and sectoral elements applied in a time dimension framework (Oyewole, 2016). Shift-Share analysis assumes that a wider region's economic structure influences changes in a region's structure or economic performance.…”

Section: Resultsmentioning

confidence: 99%

The Determination of Leading Sectors to Improve Bandung City’s Competitiveness

Kharisma

Remi²,

Wardhana³

et al. 2021

edaj

View full text Add to dashboard Cite

This study aims to identify the leading sectors in 2010-2019 and future economic development strategies in order to increase the economic competitiveness of Bandung City, Indonesia. The method used is a combined analysis of static and dynamic Location Quotient (LQ), Shift-Share, Growth Ratio Model (MRP), Overlay and Klassen Typology. The results showed that 8 (eight) sectors are classified into advanced and rapidly growing sectors: construction; wholesales, retail, car and motor repair; transportation and warehousing; accommodation and food and beverage; information and communication; financial and insurance services; corporate services; health services; and social activities and others. Economic development strategies to improve the economic competitiveness of Bandung can be done in the short, medium, and long term. In the short term, it is maintaining the advanced and rapidly growing sectors and encouraging others in the advanced category sector but are depressed to be advanced and grow rapidly. In the medium term, local government can strive for potentially growing rapid sectors into advanced and growing rapidly sectors; additionally, it can support relatively lagging sectors to become potential or still develop. Furthermore, in the long-term, other lagging sectors are aimed to become advanced and grow rapidly.

show abstract

Section: Resultsmentioning

confidence: 99%

The Determination of Leading Sectors to Improve Bandung City’s Competitiveness

Kharisma

Remi²,

Wardhana³

et al. 2021

edaj

View full text Add to dashboard Cite

show abstract

“…This method is utilized to observe economic structure and its shift through the growth of regional economic sectors in 144 Rosiadi comparison to similar sectors on larger areas, for example province to national, regency or city to province, district to regency, or village to district. Overall, shift-share analysis is a good and simple method in providing information about regional or sectoral economic policy (S. hen Chiang, 2012;Dogru & Sirakaya-Turk, 2017;Márquez et al, 2009;Mo et al, 2020;Oyewole, 2016), although this analysis cannot sufficiently show detailed information, particularly on sector role and economic policy (Tervo & Okko, 1983). Some previous studies also utilized shift-share analysis to find out the relationship of structural transformation to economic growth (de Vries et al, 2012;Maroto-Sánchez & Cuadrado-Roura, 2009;Maudos et al, 2008).…”

Section: Methodsmentioning

confidence: 99%

Determining Leading Economic Sectors, by Large Distribution or Extreme Growth?

Rosadi

2020

JISDeP

View full text Add to dashboard Cite

Leading economic sector on Tulungagung Regency determined by sector contribution on GRDP. These sectors expected can be a booster to economic growth. But Economic Growth in Tulungagung Regency was still slower than East Java Province. This Study aims to determined Leading economic sector not only by its contribution. SLQ and DLQ analysis, average contribution, growth rate and shift share analysis have been done to observe contribution, competiveness and progresive growth of economic sector. Based on the assesment by scoring of the criteria, leading economic sector was determined and found that education service sector lead the rank followed by information and communication sector.

show abstract

“…), and decompose the urban construction land in the study area (usually a sub-region of the reference region) into the national share component (NS ij ), the industrial mix component (IM ij ), and the regional shift component (RS ij ), which are used to respectively describe the "rationing effect" of urban construction land in the reference region on urban construction land in each study area, whether a certain type of urban construction land structure is at a growth advantage, and the competitive advantage of a certain type of urban construction land in the sub-region over other sub-regions. In addition, since the shift component plays a moderating role on the share volume, the ratio of the sum of the industrial mix component and the regional shift component to the share volume is usually used as the shift share ratio (SSR ij ) to reflect the moderating strength of the shift component on the share volume [11,20,30,31]. The equations for each variable are as follows:…”

Section: Shift-share Modelmentioning

confidence: 99%

Evolution of Urban Construction Land Structure Based on Information Entropy and Shift-Share Model: An Empirical Study on Beijing-Tianjin-Hebei Urban Agglomeration in China

Dong

2022

Sustainability

View full text Add to dashboard Cite

Urban agglomerations are important carriers of the current world economic development and economic center of gravity shift, while urban construction land structure reflects and influences the functions and development directions of urban agglomerations and cities within them. It is significant to study the characteristics of urban construction land structure in urban agglomerations. Based on information entropy model and shift-share model, this study discusses and analyzes the evolution characteristics and spatial allocation differences of urban construction land structure in Beijing-Tianjin-Hebei urban agglomeration, and simulates the spatial allocation differences with the help of GIS technology. The empirical research results show that from, 2006 to 2017, the overall structure of urban construction land in Beijing-Tianjin-Hebei urban agglomeration changes alternately between “orderly” and “disorderly”, and finally the overall development was slightly disordered. Furthermore, there are significant differences in the competitiveness of different types of land in different cities. Among them, green land, public facilities land, and road traffic land show obvious replenishment effect, which are mainly distributed in Handan-Zhangjiakou northwestern Hebei, Tianjin-Cangzhou in the eastern coast, Baoding-Xingtai in central and southern Hebei, while industrial land and storage land, which are mainly distributed in Beijing-Tangshan-Langfang around the capital and Shijiazhuang-Handan-Hengshui in central and southern Hebei, show obvious crowding-out effect. In addition, the temporal changes and spatial allocation differences of urban construction land structure are influenced by many factors, such as economic development, industrial structure, population size, etc. Therefore, it is suggested that the coordinated development of urban agglomerations should adhere to the principle of “differentiated development before coordinated development, local coordinated development before overall coordinated development”.

show abstract

Regional Competition in the International Market for Services: A Shift-Share Analysis

Cited by 8 publications

References 41 publications

The Determination of Leading Sectors to Improve Bandung City’s Competitiveness

The Determination of Leading Sectors to Improve Bandung City’s Competitiveness

Determining Leading Economic Sectors, by Large Distribution or Extreme Growth?

Evolution of Urban Construction Land Structure Based on Information Entropy and Shift-Share Model: An Empirical Study on Beijing-Tianjin-Hebei Urban Agglomeration in China

Contact Info

Product

Resources

About