Climate change impact on labor productivity in Thai manufacture

Limskul, Kitti

doi:10.1007/s41685-018-0073-5

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…At CO 2 concentration of 330-400 ppm scenarios, mean rice yield in Northeast Thailand was predicted to decline in range of -1.24% to -5.05% for 1°C temperature increase [96]. It was documented that the average labour product of Thai manufacture sector in 2012 would decline -41,674 baht per person, as the temperature of the working place rose 1°C from the base level [97]. In case of 1.95°C temperature rise in the future; present value of the damage was estimated to increase from 95,519 million baht in 2020 to 160,335 million baht in 2050 (in current prices) [97].…”

Section: Potential Impacts Of Soces In Thailandmentioning

confidence: 99%

“…It was documented that the average labour product of Thai manufacture sector in 2012 would decline -41,674 baht per person, as the temperature of the working place rose 1°C from the base level [97]. In case of 1.95°C temperature rise in the future; present value of the damage was estimated to increase from 95,519 million baht in 2020 to 160,335 million baht in 2050 (in current prices) [97]. A recent study has also shown that changes in ambient temperature was associated with an increased risk of mortality in Thailand, with burden of all-cause of death and respiratory mortality mainly due to higher temperature [98].…”

Section: Potential Impacts Of Soces In Thailandmentioning

confidence: 99%

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Changes in slow-onset climate events in Thailand

Limsakul,

Kammuang,

Paengkaew

et al. 2023

Environmental Engineering Research

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Slow-onset climate events (SOCEs) cause substantial impacts on human and natural systems, but research on exploring SOCEs and their effects is still limited. Therefore, changes of SOCEs in Thailand were statistically analysed based on a set of data including projected mean temperature, gridded altimetry sea level, salinity, and areal forest cover. Related information from available studies and reports was also compiled to complement our analysis. The important observed changes of SOCEs included (i) Thailand’s mean temperature gradually rising towards the end of the 21<sup>st</sup> century, (ii) steady sea level rise accompanied by concomitant seawater intrusion, (iii) increasing areas of land degraded and affected by desertification, (iv) general decline in total forest cover with forest fires tending to increase over recent years, and (v) various plant and vertebrate species under multi-threats with most of them projected to considerably decline due to future climate change. Changes of SOCEs seem to have broad-ranging impacts on ecosystems and the well-being and health of Thai people. This study presented additional evidence and knowledge, responding well to the urgent needs to address SOCE<sub>S</sub> in developing countries. To better avert, minimise and address loss and damage from SOCEs, however, future studies, especially quantitative assessment, are needed.

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Section: Potential Impacts Of Soces In Thailandmentioning

confidence: 99%

Section: Potential Impacts Of Soces In Thailandmentioning

confidence: 99%

Changes in slow-onset climate events in Thailand

Limsakul,

Kammuang,

Paengkaew

et al. 2023

Environmental Engineering Research

View full text Add to dashboard Cite

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Special issue (part II) on economic analysis of law, politics, and regions

Hosoe

2018

Asia-Pac J Reg Sci

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Study on the impact of climate risk on the agricultural insurance purchasing behavior of herding households—an empirical analysis based on Inner Mongolia

Chen,

Zhao

2024

Front. Sustain. Food Syst.

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The analysis of herding households’ agricultural insurance purchasing behavior under climate risk can help improve the agricultural insurance system in pastoral areas in China.By constructing an analytical framework of “climate change, risk perception, and herding households’ agricultural insurance purchase decisions,” this study matched the survey data from 764 herding households across different types of grasslands in Inner Mongolia with meteorological data from 2019 to 2023. Based on Probit model regression and mediation effect tests, the following conclusions were drawn: Firstly, climate change, especially abnormal fluctuations in precipitation, triggers yield losses and induces loss aversion among herding households, which translates into agricultural insurance purchasing behavior. Secondly, as herding households are divided into production herding households and subsistence herding households, the impact of climate risk on production herding households’ agricultural insurance purchase decisions is more pronounced than that of subsistence herding households. Thirdly, from the perspective of the mechanism of climate change on the agricultural insurance purchasing behavior of production-oriented herding households, climate risk mainly influences herding households’ agricultural insurance purchase through their risk perception. Therefore, with the intensification of global climate change, while further stimulating the agricultural insurance purchasing demand of living herding households through differentiated premium subsidy policies in the future, it is necessary to further enhance the risk perception level of herding households by strengthening the construction of weather forecasting and agricultural and livestock risk data sharing platform, so as to transform the external changes in climate risk into the intrinsic motivation of herding households’ agricultural insurance purchasing behaviors, and to enhance the herding households’ Climate risk coping capacity of herdsmen.

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Climate change impact on labor productivity in Thai manufacture

Cited by 3 publications

References 8 publications

Changes in slow-onset climate events in Thailand

Changes in slow-onset climate events in Thailand

Special issue (part II) on economic analysis of law, politics, and regions

Study on the impact of climate risk on the agricultural insurance purchasing behavior of herding households—an empirical analysis based on Inner Mongolia

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