The effect of remittance on energy consumption: Panel cointegration and dynamic causality analysis for South Asian countries
Creators
- 1. Department of Statistics, University of Dhaka, Dhaka, 1000 (Bangladesh)
- 2. Mechanical Engineering Department, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka-shi, Fukuoka, 819-0395 (Japan)
- 3. International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka-shi, Fukuoka, 819-0395 (Japan)
Description
Highlights: • The effects of remittance on energy consumption studied for South Asian countries. • Novel statistical approaches applied to explore the causality and direction between remittance income and energy use. • Remittance income provides a potential stimulus toward national investments and ensures reliable and clean energy sources. • It is evidence that 1% raise in remittance income results in a 0.045% increase in energy consumption in the long run. • Policy makers can formulate strategic plans for migrant workers to ensure affordable clean energy. This paper examines the effect of remittance income on energy consumption and the economy between 1976 and 2019 in the four highest remittance recipient nations of South Asia. The detailed analysis explores long-run and directional relationships utilizing stationary tests, the panel cointegration test, dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS), and Granger causality tests using a Vector Error Correction Model (VECM). The study reveals the presence of long-run relationships among remittances, energy consumption, GDP and urbanization. Cointegrating regression identifies that remittance income, economic growth and urbanization individually have a positive and significant effect on energy consumption in the long-run. Results showed that a 1% increase in remittance income results in a 0.045% increase in energy consumption. Among nations analyzed, this effect was found to be strongly dominant in case of Bangladesh and Pakistan. The statistically significant and negative coefficient of the error correction term confirms long-run causality from remittance, GDP, and urbanization toward energy consumption. Variance decomposition analysis demonstrated that energy usage is heavily impacted by remittance inflows among studied variables. Policy implications of this study suggest that higher remittance inflows will increase energy consumption in South Asian countries, engendering positive economic growth and sustainable development.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2020.119684Additional details
Identifiers
- DOI
- 10.1016/j.energy.2020.119684;
- PII
- S0360544220327912;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 220
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53123618
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY; S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION;
- Descriptors DEI
- ECONOMIC DEVELOPMENT; ECONOMY; ENERGY CONSUMPTION; ENERGY POLICY; ENERGY SOURCES; ENVIRONMENTAL POLICY; ERRORS; GROSS DOMESTIC PRODUCT; INCOME; INVESTMENT; LEAST SQUARE FIT; SUSTAINABLE DEVELOPMENT; VECTORS
- Descriptors DEC
- GOVERNMENT POLICIES; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; RESOURCE DEVELOPMENT; TENSORS
Optional Information
- Copyright
- Copyright (c) 2020 Elsevier Ltd. All rights reserved.