Work

Thailand Gross Provincial Product Growth in Spatial Regression Models

Year: 2023

Type: conference-paper

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.

Source: International Conference on E-business, Management and Economics (ICEME)

DOI: 10.1145/3616712.3616748

Author: Adirek Vajrapatkul

Institution: Sukhothai Thammathirat Open University

Language: English

Topic: Regional Economic Trends and Sectoral Structure

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4389780946

FWCI: 1.723

Cites: 17

Cited by: 2

Related to: 10