Cropping Pattern Dynamics, Climatic Trends and Rice Water Use in Thiruvarur District, Tamil Nadu, India: An Economic Analysis

Rice-based agriculture in the lower Cauvery Delta is subject to climatic variability and water-management pressures. This study integrates district crop-area indices for 2013–2014 to 2023–2024, annual meteorological trend statistics, contextual vulnerability indicators, two seasonal rice-water scenarios and stochastic-frontier estimates for 120 rice farms in Thiruvarur district. The composite entropy index decreased from 0.409 to 0.118, with fluctuations and a pronounced decline in 2023–2024. A 10-state Markov matrix implies conditional stationary shares of 0.246 for cotton and 0.105 for rice, rather than observed crop substitutions. The minimum-temperature Sen slope was +0.0216 °C/year (nominal p = 0.0257), and the wind-speed slope was −0.0082 m/s/year (nominal p = 0.0020); after Holm adjustment for five tests, only wind speed remained significant at 0.05. Exposure, sensitivity and adaptive-capacity indicator means were 0.650, 0.750 and 0.475, but inconsistent score direction and absent validation preclude a district vulnerability classification. Using stated seasonal water depths, yields and nitrogen assumptions, green, blue-evapotranspiration and grey footprints were approximately 570, 593 and 205 m³/t for Kuruvai rice and 697, 558 and 212 m³/t for Samba rice. Their composite unweighted seasonal mean was 1,417 m³/t, not a measured district-wide footprint. The frontier's reported inefficiency variance fraction was 0.0031, although insufficient information is available for causal attribution. The illustrative gross-output-to-irrigation ratio was ₹10.19/m³. The findings characterise crop-area variability and conditional water-use indicators; independent validation of underlying time series and fitted models is still necessary.

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Publication Details

Journal
International Journal of Environment and Climate Change
Published
2026-11-11
DOI
https://doi.org/10.9734/ijecc/2026/v16i115781
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Cropping Pattern Dynamics, Climatic Trends and Rice Water Use in Thiruvarur District, Tamil Nadu, India: An Economic Analysis

Anandan Pouchepparadjou, C. Aroutselvam
International Journal of Environment and Climate Change
Climate change impacts on agriculture
article

Cropping Pattern Dynamics, Climatic Trends and Rice Water Use in Thiruvarur District, Tamil Nadu, India: An Economic Analysis

Anandan Pouchepparadjou, C. Aroutselvam
article en

Abstract

Rice-based agriculture in the lower Cauvery Delta is subject to climatic variability and water-management pressures. This study integrates district crop-area indices for 2013–2014 to 2023–2024, annual meteorological trend statistics, contextual vulnerability indicators, two seasonal rice-water scenarios and stochastic-frontier estimates for 120 rice farms in Thiruvarur district. The composite entropy index decreased from 0.409 to 0.118, with fluctuations and a pronounced decline in 2023–2024. A 10-state Markov matrix implies conditional stationary shares of 0.246 for cotton and 0.105 for rice, rather than observed crop substitutions. The minimum-temperature Sen slope was +0.0216 °C/year (nominal p = 0.0257), and the wind-speed slope was −0.0082 m/s/year (nominal p = 0.0020); after Holm adjustment for five tests, only wind speed remained significant at 0.05. Exposure, sensitivity and adaptive-capacity indicator means were 0.650, 0.750 and 0.475, but inconsistent score direction and absent validation preclude a district vulnerability classification. Using stated seasonal water depths, yields and nitrogen assumptions, green, blue-evapotranspiration and grey footprints were approximately 570, 593 and 205 m³/t for Kuruvai rice and 697, 558 and 212 m³/t for Samba rice. Their composite unweighted seasonal mean was 1,417 m³/t, not a measured district-wide footprint. The frontier's reported inefficiency variance fraction was 0.0031, although insufficient information is available for causal attribution. The illustrative gross-output-to-irrigation ratio was ₹10.19/m³. The findings characterise crop-area variability and conditional water-use indicators; independent validation of underlying time series and fitted models is still necessary.

International Journal of Environment and Climate ChangeVol. 16(11)
Climate change impacts on agriculture
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