biophysical systems and shifts in the national agricultural economy. Bosello et al.
(2005) analysed the relationship between climate change and agriculture. This study
suggests that the higher temperature had an impact on the production patterns.
While Gbetibouo and Hassan (2005) studied the impact of climate change on major
South African field crops. The research results suggest that the marginal changes in
temperature had an impact on the production of field crops than changes in the
precipitation. Deressa et al. (2005) used Ricardian approach to analyse the farmers’
adaptation towards the impact of climate change on South African sugarcane
production, using time series data for the period 1977–1998 pooled over 11 districts. The results suggest that the relationship between climate change and net
revenue per hectare of sugarcane was nonlinear in nature with higher sensitivity to
future increases in temperature than precipitation. Further, the study showcased that
irrigation was not an appropriate substitute for mitigating climate change.
Kabubo-Mariara and Karanja in 2007 used the same approach to examine the
economic impact of climate change on Kenyan crop using a cross sectional data.
The study suggests that there lies a nonlinear relationship between temperature and
rainfall on revenue. Masters et al. (2010) studied the impact of climate change on
agricultural commodities. The study revealed that the climate change has a significant negative effect on agriculture production. Marin et al. (2013) analysed the
effects of climate change on sugarcane yield, water use efficiency in southern Brazil
using two general circulation models and a sugarcane growth model.
Looking into home scenario, Seshu and Cady (1984) estimated the impact of
climate variability on rice yield. The estimates reveals a decrease in rice yield at the
rate of 0.71 tonne/ha with an increase in minimum temperature from 18 to 19 °C
and a decrease of 0.41 tonne/ha with an average temperature increase from 22 to
23 °C Hingane et al. (1985) in their study observed an increase in the mean annual
temperature in India by 0.4 °C for 100 years. In a simulation analysis done, Sinha
and Swaminathan (1991) tested the vulnerability of rice and wheat production by
increasing the temperature from 0.5 to 2 °C. The study results reveal that a 2 °C
increase in the mean temperature would decrease the rice yield by 0.75 tonne/ha in
high yield areas while in the low yield coastal region it is likely to decrease by 0.6
tonne/ha. Ramulu (1996) studied the impact of rainfall on sugarcane production in
Andhra Pradesh for a period of 1973–1990 using Cobb–Douglas methodology. The
estimates suggest that there lies no significant impact of rainfall on cane production
in spite of sugarcane being highly water intensive crop. In another simulation
analysis, Chatterjee (1998) found that a rise in temperature by 1–2 °C and carbon di
oxide through stimulation on the yield of Maize and sorghum. The study reveals
that increase in temperature by 1–2 °C would decrease the sorghum yields by 7–
12 %. Study by Lal et al. (1999)on vulnerability of yield response of soya beans
due to 10 % decline in rainfall, 3 °C and doubling of CO 2 suggests that soya bean
yields could go up by as much as 50 % of the concentration of carbon dioxide in the
atmosphere doubles. However, if the increase in carbon dioxide is accompanied by
an increase in temperature then soya bean yields are expected to decline. Further, if
Climate Change and Sugarcane Productivity in Karnataka
391
(2005) analysed the relationship between climate change and agriculture. This study
suggests that the higher temperature had an impact on the production patterns.
While Gbetibouo and Hassan (2005) studied the impact of climate change on major
South African field crops. The research results suggest that the marginal changes in
temperature had an impact on the production of field crops than changes in the
precipitation. Deressa et al. (2005) used Ricardian approach to analyse the farmers’
adaptation towards the impact of climate change on South African sugarcane
production, using time series data for the period 1977–1998 pooled over 11 districts. The results suggest that the relationship between climate change and net
revenue per hectare of sugarcane was nonlinear in nature with higher sensitivity to
future increases in temperature than precipitation. Further, the study showcased that
irrigation was not an appropriate substitute for mitigating climate change.
Kabubo-Mariara and Karanja in 2007 used the same approach to examine the
economic impact of climate change on Kenyan crop using a cross sectional data.
The study suggests that there lies a nonlinear relationship between temperature and
rainfall on revenue. Masters et al. (2010) studied the impact of climate change on
agricultural commodities. The study revealed that the climate change has a significant negative effect on agriculture production. Marin et al. (2013) analysed the
effects of climate change on sugarcane yield, water use efficiency in southern Brazil
using two general circulation models and a sugarcane growth model.
Looking into home scenario, Seshu and Cady (1984) estimated the impact of
climate variability on rice yield. The estimates reveals a decrease in rice yield at the
rate of 0.71 tonne/ha with an increase in minimum temperature from 18 to 19 °C
and a decrease of 0.41 tonne/ha with an average temperature increase from 22 to
23 °C Hingane et al. (1985) in their study observed an increase in the mean annual
temperature in India by 0.4 °C for 100 years. In a simulation analysis done, Sinha
and Swaminathan (1991) tested the vulnerability of rice and wheat production by
increasing the temperature from 0.5 to 2 °C. The study results reveal that a 2 °C
increase in the mean temperature would decrease the rice yield by 0.75 tonne/ha in
high yield areas while in the low yield coastal region it is likely to decrease by 0.6
tonne/ha. Ramulu (1996) studied the impact of rainfall on sugarcane production in
Andhra Pradesh for a period of 1973–1990 using Cobb–Douglas methodology. The
estimates suggest that there lies no significant impact of rainfall on cane production
in spite of sugarcane being highly water intensive crop. In another simulation
analysis, Chatterjee (1998) found that a rise in temperature by 1–2 °C and carbon di
oxide through stimulation on the yield of Maize and sorghum. The study reveals
that increase in temperature by 1–2 °C would decrease the sorghum yields by 7–
12 %. Study by Lal et al. (1999)on vulnerability of yield response of soya beans
due to 10 % decline in rainfall, 3 °C and doubling of CO 2 suggests that soya bean
yields could go up by as much as 50 % of the concentration of carbon dioxide in the
atmosphere doubles. However, if the increase in carbon dioxide is accompanied by
an increase in temperature then soya bean yields are expected to decline. Further, if
Climate Change and Sugarcane Productivity in Karnataka
391