Non-Linear Impact of Textile and Clothing Manufacturing on Economic Growth: The Case of Top-Asian Economies

• Autorzy: Hussain Hafezali Iqbal , Haseeb Muhammad , Kot Sebastian , Jermsittiparsert Kittisak

Identyfikatory

DOI

10.5604/01.3001.0014.2381

Warianty tytułu

PL

Nieliniowy wpływ produkcji tekstyliów i odzieży na wzrost gospodarczy: przypadek największych gospodarek azjatyckich

• Języki publikacji: EN

Abstrakty

EN

The potential contribution of the textile sector is not limited to the local economy but it also represents a country’s image in the global market. It carries the initial boom for most emerging nations in their journey towards improved economic growth. The present study employs Quantile on Quantile regression, which is a unique methodology and has the tendency to establish the relationship between variables that are non-linear in nature across various quantile distributions. Moreover, the method stated helps in explaining the asymmetric response in the quantiles of economic growth of the countries studied caused by the quantiles of the textile and clothing industry. The quarterly data ranges from 1990 to 2018, and findings therefrom endorse the presence of a positive relationship between TTC and economic growth in all Asian Countries studied. In addition to this, the direction of the relationships in the quantiles was also evaluated by Granger causality, which revealed the presence of bidirectional causal effects in all countries, excluding Japan, Pakistan and Turkey, where it was found as uni-directional. Lastly, based on the findings, the government and policy making institutions are recommended for the introduction of certain programs thatwill incentivize and provide subsidies to potential investors, thus relaxing the competition for new entrants in the TTC sector.

PL

Potencjalny wkład sektora tekstylnego nie ogranicza się do lokalnej gospodarki, ale reprezentuje również wizerunek kraju na rynku światowym. Niesie to początkowy rozkwit większości krajów wschodzących na ich drodze do lepszego wzrostu gospodarczego. W badaniu zastosowano metodę regresji kwantylowej, która jest unikalną metodologią i ma tendencję do ustalania relacji między zmiennymi o nieliniowym charakterze w różnych rozkładach kwantyli. Podana metoda pomaga ponadto w wyjaśnieniu asymetrycznej odpowiedzi w kwantylach wzrostu gospodarczego badanych krajów spowodowanej przez kwantyle przemysłu tekstylno-odzieżowego. Dane kwartalne obejmują okres 1990-2018, a ustalenia z tych lat potwierdzają istnienie pozytywnego związku między TTC a wzrostem gospodarczym we wszystkich badanych krajach azjatyckich. Oprócz tego, kierunek relacji w kwantylach został również oceniony przez przyczynowość Grangera, która ujawniła obecność dwukierunkowych efektów przyczynowych we wszystkich krajach, z wyjątkiem Japonii, Pakistanu i Turcji, gdzie stwierdzono je jako jednokierunkowe. Na podstawie ustaleń, zaleca się instytucjom rządowym i tworzącym politykę wprowadzenie pewnych programów, które będą motywować i zapewniać dotacje potencjalnym inwestorom, łagodząc w ten sposób konkurencję dla nowych podmiotów w sektorze TTC.

Słowa kluczowe

EN

textile manufacturing; clothing manufacturing; economic growth; Asian economy; quantile

PL

produkcja tekstyliów; produkcja odzieży; wzrost gospodarczy; gospodarka azjatycka; kwantyl

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2020
• Tom: Vol. 28, no. 5 (143)
• Strony: 27--36
• Opis fizyczny: Bibliogr. 47 poz., rys., tab.

Twórcy

autor

Hussain Hafezali Iqbal

• Taylor’s University, Taylor’s Business School, Lakeside Campus, Jalan Taylors, Subang Jaya 47500, Malaysia
• University of Economics and Human Sciences in Warsaw, ul. Okopowa 59, 01-043 Warsaw, Poland

autor

Haseeb Muhammad

• Taylor’s University, Taylor’s Business School, Lakeside Campus, Jalan Taylors, Subang Jaya 47500, Malaysia

autor

Kot Sebastian

• Czestochowa University of Technology, Management Faculty, Czestochowa, Poland

autor

Jermsittiparsert Kittisak

• Chulalongkorn University, Social Research Institute, Bangkok 10330, Thailand

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