Back to Search
Start Over
Analyzing the role of meteorological parameters and CO 2 emissions towards crop production: empirical evidence from South Asian countries.
- Source :
-
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Jun; Vol. 29 (29), pp. 44199-44206. Date of Electronic Publication: 2022 Feb 07. - Publication Year :
- 2022
-
Abstract
- It is need of the hour to investigate the impacts of climate parameters on agricultural production in a developing region of South Asia. Therefore, this work attempts to explore the climatic indicators on agricultural production for selected South Asian countries over the annual data of 1961-2016. This study estimates the impacts of rainfall, temperature, rural population, land under cereal production, and CO <subscript>2</subscript> emissions (ECO <subscript>2</subscript> ) on agricultural production. For empirical analysis, we applied second-generation unit root tests. After examining the order of integration of time series, we check for the co-integration among the variables. Before the co-integration test, we check for cross-section dependence among the variables. CD and LM tests confirm the existence of cross-section dependence. Afterward, we apply the Westerlund co-integration test to confirm the strong association among the variables. Further, we applied two methods for long-run coefficients of independent variables. Dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) tests were applied to cross-check the findings. Our findings show that rural population and rainfall are negatively associated with agricultural production. Moreover, temperature, land area under cereal production, and ECO <subscript>2</subscript> are positively associated with agricultural production. Our findings shed light on some important policy implications for South Asian countries.<br /> (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1614-7499
- Volume :
- 29
- Issue :
- 29
- Database :
- MEDLINE
- Journal :
- Environmental science and pollution research international
- Publication Type :
- Academic Journal
- Accession number :
- 35128614
- Full Text :
- https://doi.org/10.1007/s11356-022-18567-7