Another look into the relationship between economic growth, carbon emissions, agriculture and urbanization in Thailand : a frequency domain analysis

• Autor(a) principal: Mata, Mário Nuno
• Data de Publicação: 2021
• Outros Autores: Oladipupo, Seun Damola, Husam, Rjoub, Ferrão, Joaquim António, Altuntaş, Mehmet, Martins, Jéssica Nunes, Kirikkaleli, Dervis, Dantas, Rui Miguel, Lourenço, António José dos Santos Morão
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.15/3645
• topic: Agriculture; Urbanization; Economic growth; CO2 emissions; Energy use; Thailand

This empirical study assesses the effect of CO2 emissions, urbanization, energy consumption, and agriculture on Thailand’s economic growth using a dataset between 1970 and 2018. The ARDL and the frequency domain causality (FDC) approaches were applied to assess these interconnections. The outcome of the bounds test suggested a long-term association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger Thailand’s economic growth. Additionally, the frequency domain causality test was used to detect a causal connection between the series. The main benefit of this technique is that it can detect a causal connection between series at different frequencies. To the understanding of the authors, this is the first study in the case of Thailand that will apply the FDC approach to capture the causal linkage between GDP and the regressors. The outcomes of the causality test suggested that CO2 emissions, urbanization, energy consumption, and agriculture can predict Thailand’s economic growth in the long term. These outcomes have far-reaching implications for economic performance and Thailand’s macroeconomic indicators.