Suchergebnisse

Renewable energy plays a significant role in mitigating C02 emission and boosts sustainable development. Initially, this study examines those factors which create hurdles in adopting renewable energy technology in Thailand. Later, this study examined the impact of renewable energy with other supporting variables on Thailand's total energy consumption. For this purpose, this study used 38 years of data from 1990 to 2018. Initially, the Augmented Dickey fuller test applied to verify the order of integration on indicators, and it confirms that there exists a unit order of integration. Then applied Johansen Cointegration, and it confirms that there are long-run relationships among trade openness, GDP, energy consumption (fossil fuels), financial development, and renewable energy consumption. Further applied Vector error correction model (VECM) to estimates the coefficients on indicators. Results confirm that openness to trade endorses the consumption of renewable energy in Thailand. However, the development of the economy and traditional energy resources creates hurdles to adapting renewable energy in Thailand. Renewable energy technology in Thailand did not significantly impact financial growth and development. After the research, the researcher advised the government of Thailand to adopt and implement the regulations and policies that maximize the magnitude of renewable energy and maximize the portion of renewable energy in total consumption of the overall energy consumption for the country Thailand.

This study examines the validation the relationship of environmental and energy for Thailand. Further this study examined the impact of economic growth, non-renewable and renewable energy and FDI on environment, with the help of time series data from 1990 to 2018 with ecological damage indicator, i.e., emission of carbon dioxide (CO2). This study applied Autoregressive (ARDL) Distributed Lag model for testing the cointegration in the model. In the long run, the results of this study confirm the existence of cointegration in the model. However, the negative effect of growth on the environment confirms the existence of the Kuznets Environmental Curve (EKC), which means that economic growth harms Thailand's environment. Renewable energy and foreign direct investment are the key aspects that reduce environmental degradation in Thailand during the study period. Therefore, the government must redouble its efforts to reduce carbon dioxide CO2 emissions, perhaps through regulatory intervention or mandatory renewable energy applications for individual household and industrial segments. For example, the manufacturing sectors, iron, and steel must prioritize, reducing the high non-renewable energy consumption for those which are renewable. The government must introduce specific measures and campaigns for environmental protection for future generations as well as introduce taxes for polluters. Another relevant recommendation is to create an industry that relies on low energy consumption compared to high productivity levels.