Published August 2019 | Version v1
Journal article

The roles of international tourism and renewable energy in environment: New evidence from Asian countries

  • 1. School of Business, Luoyang Normal University, Henan (China)

Description

Northeast and Southeast Asian region is one of the fastest growing regions in CO2 emissions, real GDP, energy consumption, and international tourism. However, the relationships among emissions, real GDP, energy consumption, and tourism are little known. The purpose of present paper is to explore the linkage among CO2 emissions, real GDP, non-renewable and renewable energy, and tourism in panel of ten Northeast and Southeast Asian (NSEA-10) countries covering the period of 1995–2014. Environmental Kuznets curves are examined by fully modified ordinary least squares (FMOLS) and augmented mean group (AMG) based on individual country and panel data. Moreover, heterogeneous panel non-causality test is employed to analyze the causality among variables based on regional data. The empirical results reject the existence of the environmental Kuznets curve (EKC) hypothesis in whole samples (NSEA-10), Northeast Asian countries (NEA-4), and Southeast Asian countries (SEA-6). Non-renewable energy is the big source of emissions, while renewable energy can reduce emissions in panel data. The development of tourism may lead to the environmental degeneration. The findings based on heterogeneous causality test are mixed in different regions.

Additional details

Identifiers

DOI
10.1016/j.renene.2019.02.046;
PII
S0960148119301971;

Publishing Information

Journal Title
Renewable Energy
Journal Volume
139
Journal Page Range
p. 385-394
ISSN
0960-1481
CODEN
RNENE3

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55022742
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
EMISSION; ENERGY CONSUMPTION; GROSS DOMESTIC PRODUCT; LEAST SQUARE FIT; RENEWABLE ENERGY SOURCES
Descriptors DEC
ENERGY SOURCES; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.