The effects of agricultural development on CO2 emissions: empirical evidence from the most populous developing countries

Today, the importance of agriculture in securing the livelihood of human beings is not hidden. Nevertheless, its impact on environmental degradation has also become a concern for experts. Therefore, this study investigates the impact of agricultural development on CO 2 emissions in the 15 most popul...

Full description

Saved in:
Bibliographic Details
Published in:Environment, development and sustainability development and sustainability, 2023-10, Vol.25 (10), p.12011-12031
Main Authors: Karimi Alavijeh, Nooshin, Salehnia, Nasrin, Salehnia, Narges, Koengkan, Matheus
Format: Article
Language:English
Subjects:
Agricultural development
Carbon dioxide
Carbon dioxide emissions
Developing countries
Earth and Environmental Science
Ecology
Economic Geology
Economic Growth
Emissions
energy
Energy consumption
Environment
Environmental degradation
Environmental Economics
Environmental impact
Environmental Management
GDP
Gross Domestic Product
humans
LDCs
Livelihood
Openness
Quantiles
regression analysis
Sustainable Development
trade
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Today, the importance of agriculture in securing the livelihood of human beings is not hidden. Nevertheless, its impact on environmental degradation has also become a concern for experts. Therefore, this study investigates the impact of agricultural development on CO 2 emissions in the 15 most populous developing countries in the years 2004–2020 using panel quantile regression. In addition, the effect of gross domestic product, energy consumption, population, and trade openness has been explored. Results show that the agricultural value added is positive and significant in all quantiles except the 0.3, 0.4, and 0.5 quantiles, and it becomes more in higher quantiles. Moreover, energy consumption and trade openness are the most robust influential variables. However, the effect of energy consumption is less than trade openness in lower quantiles, and in higher quantiles, it is just the opposite. Furthermore, gross domestic product is significant and positive in all quantiles except the 0.8 and 0.90 quantiles, decreasing in higher quantiles. Finally, the population's impact on CO 2 emissions in 0.1, 0.2, 0.3, and 0.4 quantiles is positive and significant but insignificant in higher quantiles.
ISSN:1387-585X
1573-2975
DOI:10.1007/s10668-022-02567-1