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Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries

Authors: Cong Khai Dinh; orcid Quang Thanh Ngo;
Quang Thanh Ngo
ORCID
Harvested from ORCID Public Data File

Quang Thanh Ngo in OpenAIRE
orcid Trung Thanh Nguyen;
Trung Thanh Nguyen
ORCID
Harvested from ORCID Public Data File

Trung Thanh Nguyen in OpenAIRE

Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries

Abstract

Sustaining economic growth while reducing dependence on fossil fuels remains a challenge for our world to fight against climate change and therefore finding a way to promote economic growth and increase renewable energy use is needed. This paper uses a 22-year panel dataset (1994–2015) of 9 countries in the Association of Southeast Asian Nations provided by the World Bank World Development Indicators to examine the impact of medium- and high-tech export on renewable energy use. We employ a fixed-effects regression model with the Driscoll–Kraay nonparametric covariance matrix estimator to account for sectoral and temporal dependence. We also control for inflation, employment, population growth, and gross domestic product per capita in our estimations. Our results demonstrate a U-shaped association between medium- and high-tech export and renewable energy consumption of these economies. The results propose that enhancing medium- and high-tech export could be a feasible solution for promoting renewable energy consumption.

Keywords

Employment, Energy utilization, Technology, Renewable energy, Covariance matrix, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, High-tech exports, Association of Southeast Asian Nations, medium- and high-tech export, Medium- and high-tech export, Population statistics, Gross domestic products, Feasible solution, Temporal dependence, Renewable energy use, Renewable energy consumption, Climate change, inflation, Economic growth, Fixed effects regression models, Fossil fuels, T, Economic analysis, renewable energy, economic growth, Inflation, employment, Regression analysis, ASEAN

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