This thesis consists of three main parts. The first part is investigated the effect of meteorological factors such as CO2, average temperature and precipitation on rice yield. In particular, this study examined the long-run equilibrium relationship between rice yield, CO2, and meteorological variabl...
This thesis consists of three main parts. The first part is investigated the effect of meteorological factors such as CO2, average temperature and precipitation on rice yield. In particular, this study examined the long-run equilibrium relationship between rice yield, CO2, and meteorological variables. And also examined the effect of variability on rice yields. To evaluate prediction the performance of rice yield, various models such as ARIMA, ARIMAX, ARDL, ARDL-ECM, GARCH models were used in the study. And also use the Bayesian methodology to evaluate the forecasting performance. The second part of the thesis compares the dynamic forecasting performance of C3 (rice, wheat, soybean) and C4 (corn) crop yield models under climate change. Since climate change affects the whole world, this study analyze the crop yield in each region. Based on the panel model methodologies, estimated the crop yield models considering the technical variable and meteorological variables such as carbon dioxide concentration and temperature. To evaluate the forecasting performance, static and dynamic panel models are used. The third and most important part, empirically investigates the existence of a trilemma relationship among economic growth, climate change, and food policies. As Kuznets (1955) argues on the subjects of economic growth and income distribution, there could be a trade-off between two these policy variables. Our empirical results show a trilemma relationship among the three policy objectives with heterogeneity between income groups. The high income group can achieve these policy goals at the same time, whereas the middle income group face an impossible trinity.
This thesis consists of three main parts. The first part is investigated the effect of meteorological factors such as CO2, average temperature and precipitation on rice yield. In particular, this study examined the long-run equilibrium relationship between rice yield, CO2, and meteorological variables. And also examined the effect of variability on rice yields. To evaluate prediction the performance of rice yield, various models such as ARIMA, ARIMAX, ARDL, ARDL-ECM, GARCH models were used in the study. And also use the Bayesian methodology to evaluate the forecasting performance. The second part of the thesis compares the dynamic forecasting performance of C3 (rice, wheat, soybean) and C4 (corn) crop yield models under climate change. Since climate change affects the whole world, this study analyze the crop yield in each region. Based on the panel model methodologies, estimated the crop yield models considering the technical variable and meteorological variables such as carbon dioxide concentration and temperature. To evaluate the forecasting performance, static and dynamic panel models are used. The third and most important part, empirically investigates the existence of a trilemma relationship among economic growth, climate change, and food policies. As Kuznets (1955) argues on the subjects of economic growth and income distribution, there could be a trade-off between two these policy variables. Our empirical results show a trilemma relationship among the three policy objectives with heterogeneity between income groups. The high income group can achieve these policy goals at the same time, whereas the middle income group face an impossible trinity.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.