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Thailand Gross Provincial Product Growth in Spatial Regression Models

Published:15 December 2023Publication History

ABSTRACT

This study investigated the effects of the number of workers in the formal system, fund investment in the provinces, and location on provincial product per capita in Thailand. Data for 77 provinces in 2020 was accessed from Thailand's National Statistical Office and analyzed using OLS and spatial regression models. The results of the two models showed that all three factors had a significant positive impact on the level of gross domestic product. It is, therefore, recommended to induce investment into the province, increase the number of formal workers, and tailor specific policies to particular provinces in order to increase provincial product per capita.

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      ICEME '23: Proceedings of the 2023 14th International Conference on E-business, Management and Economics
      July 2023
      507 pages
      ISBN:9798400708022
      DOI:10.1145/3616712

      Copyright © 2023 ACM

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      Publication History

      • Published: 15 December 2023

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