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Original Articles

A linkage measure framework for the real estate sector

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Pages 121-143 | Received 22 Mar 2005, Accepted 17 May 2005, Published online: 18 Oct 2010
 

Abstract

Linkage is one of the most important factors for gaining competitive advantage. Information on linkages is essential to understanding the structure of an economy, which is in turn important in formulating industry policies and business strategies. The hypothetical extraction method is used to measure the linkages by extracting a sector hypothetically from an economic system in the literature. In the previous research, however, the internal linkage (linkage within a sector) and sectoral linkages (linkage between two specific sectors) are ignored, and there is not a comprehensive framework to measure the linkages of a specific sector. Using the recently published Organisation for Economic Co‐operation and Development input‐output database at constant prices, this paper aims to resolve these two shortcomings and thereby propose a linkage measure framework to explore the linkages between the real estate sector and other sectors from a new angle. The relative and absolute linkages are termed and the total, backward, forward, internal and sectoral linkage indicators are formulated to investigate the linkages of the real estate sector from all directions. Empirical results show an increasing trend of these linkages, which confirms the increasing role of the real estate sector with economic maturity over the examined period. This framework also can be employed in other sectors.

SANTRUKA

Susiejimas yra vienas svarbiausiu veiksniu siekiant igyti pranašuma konkurencijoje. Informacija apie sasajas yra labai svarbi norint suprasti ekonomikos struktūra, kuri savo ruožtu yra svarbi formuluojant pramones politika ir verslo strategijas. Hipotetinio išskyrimo metodas taikomas vertinant sasajas, hipotetiškai išskiriant sektoriu iš ekonomines sistemos. Ankstesniuose tyrinejimuose vidines sasajos (sasajos sektoriaus viduje) ir sektoriu tarpusavio sasajos (sasajos tarp dvieju sektoriu) būdavo ignoruojamos, be to, nebuvo visa apimančios struktūros, skirtos atskiro sektoriaus sasajoms vertinti. Remiantis neseniai paskelbtais Ekonominio bendradarbiavimo organizacijos duomenu bazes pirkimo ir pardavimo duomenimis, esant pastovioms kainoms darbo tikslas ‐ iveikti šiuos du trūkumus ir kartu pasiūlyti sasaju vertinimo struktūra siekiant ištirti sasajas tarp nekilnojamojo turto ir kitu sektoriu nauju aspektu kontekste. Ivardytos santykines ir absoliučios sasajos bei suformuluoti bendrieji, atgaliniai, būsimieji, vidiniai ir sektoriu sasaju indikatoriai, skirti tirti nekilnojamojo turto sektoriaus sasajoms visomis kryptimis. Empiriniai tyrinejimu rezultatai rodo stiprejančia šiu sasaju tendencija, patvirtinančia vis didejanti nekilnojamojo turto sektoriaus vaidmeni vystantis ekonomikai tiriamuoju laikotarpiu. Šia metodine struktūra taip pat galima taikyti ir kituose sektoriuose.

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