Abstract
While climate change is having serious impacts on agriculture and may require ongoing adaptation, short-run threats to global food security are also crucial for develo** countries. We use dynamic and asymmetric panel autoregressive distributed lag estimators to investigate how the effects of climate change on agricultural productivity vary depending upon the short run and long run in Asia over the period of 1980–2016. The results confirmed that there is a long-run relationship between agricultural productivity and climate change variables; however, only CO2 emissions could be linked to agricultural productivity in the short run. Moreover, while the direction of this effect is positive for the short run, it turns into negative in the long run confirming that carbon fertilization in the atmosphere can to some extent have a positive effect on agricultural productivity.
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Data availability
The datasets used and/or analyzed during the current study are available from the FAOSTAT database, the World Bank Group Climate Change Portal, the BP Statistical Review of World Energy, and the World Bank national accounts data.
Notes
All mean group regressions are implemented with the Stata module xtmg (Eberhardt 2012).
The Pesaran and Yamagata (2008) slope homogeneity test results are not reported in order to save space. Detailed results are available upon request.
The presence of cross-sectional dependence has been test by employing the Pesaran’s cross-sectional dependence test across variables. For all variables, the tests rejected the null hypothesis of weakly cross-sectional dependence. The test results are available upon request.
For more details, please see Westerlund (2007).
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Ozdemir, D. The impact of climate change on agricultural productivity in Asian countries: a heterogeneous panel data approach. Environ Sci Pollut Res 29, 8205–8217 (2022). https://doi.org/10.1007/s11356-021-16291-2
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DOI: https://doi.org/10.1007/s11356-021-16291-2