The Nonlinear Impacts of Global Warming on Regional Economic Production: An Empirical Analysis from China

2020 ◽  
Vol 12 (4) ◽  
pp. 759-769
Author(s):  
Jun-Jie Chang ◽  
Yi-Ming Wei ◽  
Xiao-Chen Yuan ◽  
Hua Liao ◽  
Bi-Ying Yu
Keyword(s):  
Global Warming ◽  
Economic Impacts ◽  
Economic Conditions ◽  
Large Area ◽  
East Central ◽  
Average Temperature ◽  
Economic Output ◽  
Economic Production ◽  
National Economic ◽  
Annual Average Temperature

AbstractChina, the second largest economy in the world, covers a large area spanning multiple climate zones, with varying economic conditions across regions. Given this variety in climate and economic conditions, global warming is expected to have heterogeneous economic impacts across the country. This study uses annual average temperature to conduct an empirical research from a top-down perspective to evaluate the nonlinear impacts of temperature change on aggregate economic output in China. We find that there is an inverted U-shaped relationship between temperature and economic growth at the provincial level, with a turning point at 12.2°C. The regional and national economic impacts are projected under the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). As future temperature rises, the economic impacts are positive in the northeast, north, and northwest regions but negative in the south, east, central, and southwest regions. Based on SSP5, the decrement in the GDP per capita of China would reach 16.0% under RCP2.6 and 27.0% under RCP8.5.

scholarly journals Climate Change and Bangladesh: Geographical and Socio-economic Impacts

2014 ◽  
Vol 7 ◽  
pp. 113-132 ◽  
Author(s):  
Farjana Jahan ◽  
Kazi SM Khasrul Alam Quddusi
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Greenhouse Effect ◽  
Economic Impacts ◽  
Climatic Changes ◽  
Economic Conditions ◽  
Local Initiative ◽  
The Future ◽  
The Waves ◽  
Land Water

Climate change, the effects of greenhouse effect and global warming, is out to alter the global map with its devouring prospects of sending a number of countries under the waves. Unfortunately yet unavoidably, Bangladesh stands at the forefront of climate forays. Its land, water and weather are being severely affected by undesirable climatic changes. Alarmingly, the dangers are to be intensified unless the trend is reversed. However, local initiative will hardly be enough to offset the grave concerns of unintended climatic changes in Bangladesh. The changes will also impact the socio-economic conditions of the country, putting the future of the nation on the line. Some ominous signs are already there for the concerned to respond with required amount of fervour. DOI: http://dx.doi.org/10.3126/dsaj.v7i0.10439 Dhaulagiri Journal of Sociology and Anthropology Vol. 7, 2013; 113-132

THE ECONOMIC IMPACTS OF GLOBAL WARMING ON CHINESE CITIES

2020 ◽  
Vol 11 (02) ◽  
pp. 2050007
Author(s):  
XIAO-CHEN YUAN ◽  
ZHIMING YANG ◽  
YI-MING WEI ◽  
BING WANG
Keyword(s):  
Global Warming ◽  
Climate Models ◽  
Economic Impacts ◽  
Seasonal Temperature ◽  
Negative Effects ◽  
Positive Effects ◽  
Economic Output ◽  
Development Scenarios ◽  
Per Capita ◽  
The Difference

There is a substantial concern for the economic impacts of global warming. This study identifies the effects of seasonal temperatures on total economic output in the cities of China, and then projects the changes in local economic performance under future climate and development scenarios. The results suggest that there are significant negative effects of warm seasonal temperature but positive effects of cold seasonal temperature on economic growth. These different effects increase as more lags of temperature are included. By 2090, the cities may have the average reduction of 44% in GDP per capita under RCP8.5, but some of them in Northeast China are predicted to get positive impacts under RCP2.6. The difference in the estimated aggregate impacts under the two RCPs could be as much as 24%. The poor cities are likely to have higher economic damages, which amplifies the economic inequality. Finally, the ranges of economic impacts projected by different climate models are presented.

scholarly journals Modeling climate phenomenon with software grids analysis and display system in the development of the global warming module

2021 ◽  
Vol 10 (6) ◽  
pp. 3228-3239
Author(s):  
Afrizal Mayub ◽  
Leni Hendraini ◽  
Henny Johan ◽  
Fahmizal Fahmizal ◽  
Rendy Wikrama Wardana
Keyword(s):  
Global Warming ◽  
3D Model ◽  
Horizontal Distribution ◽  
Display System ◽  
Annual Average ◽  
Average Temperature ◽  
Wind Circulation ◽  
Teachers And Students ◽  
Annual Average Temperature ◽  
West Monsoon

This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.

scholarly journals Global annual average temperature – a precise modelling

2014 ◽  
Vol 51 (1) ◽  
pp. 37-44
Author(s):  
Satyabrata Pal ◽  
Arunava Ghosh
Keyword(s):  
Global Warming ◽  
Greenhouse Gases ◽  
Annual Average ◽  
Mathematical Functions ◽  
Extensive Simulation ◽  
Average Temperature ◽  
Initial Values ◽  
Environmental Threat ◽  
The Impact ◽  
Annual Average Temperature

SUMMARY Global annual average temperature (GAAT) is regarded as a precise indicator of the warming of the globe over the centuries, and its spectre is looming large with the passage of time and with the advancement of civilization. Global warming, caused by the accumulation of greenhouse gases in the atmosphere, has become the worst environmental threat to mankind. The phase 1981 to 2012 was the most crucial phase, and the impact of global warming in that phase indeed points to a disaster if not controlled now. Work on the building of appropriate models to represent the GAAT data can be found in the literature, although the precision levels (in terms of R2 values) of such models do not exceed 0.86. In this paper, six models are developed by using different combinations of mathematical functions. The developed models are superior to existing models in terms of their precision. In fact, to generate such models, extensive simulation work has been carried out not only with respect to the types of mathematical functions, but also with respect to the choices of initial values of the coefficients involved in each model. The models developed here have attained R2 values as high as 0.896.

Special elections in alternative vote electoral systems: Exploring turnout and the vote in Irish by-elections 1923–2019

2021 ◽  
pp. 136914812110457
Author(s):  
Stephen Quinlan
Keyword(s):  
Electoral Systems ◽  
Electoral System ◽  
Economic Conditions ◽  
Government Performance ◽  
Multifaceted Approach ◽  
Decisive Effect ◽  
Members Of Parliament ◽  
Alternative Vote ◽  
National Economic ◽  
The Impact

Most literature on special elections has focused on first-past-the-post contests and on the performance of governments. Turnout, candidates, and how the electoral system impacts the result have received less attention. This contribution fills these voids by exploring special elections in Ireland, elections conducted under the alternative vote system. Taking a multifaceted approach, it investigates the correlates of turnout, the impact of candidates and the decisive effect of lower preferences, while also testing multiple explanations of government performance. I find Irish special elections live up to the by-election truisms of lower turnout and government loss. Government performance is associated with national economic conditions. By-election victory is more likely among candidates with familial lineage and former members of parliament. Where they come into play, one in five candidates owe their victory to lower preferences.

scholarly journals Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Lingling Shen ◽  
Li Lu ◽  
Tianjie Hu ◽  
Runsheng Lin ◽  
Ji Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
North China ◽  
Maximum Temperature ◽  
Homogeneity Test ◽  
Climate Data ◽  
Average Temperature ◽  
Temperature And Precipitation ◽  
Daily Data ◽  
Before And After ◽  
Annual Average Temperature

Homogeneity of climate data is the basis for quantitative assessment of climate change. By using the MASH method, this work examined and corrected the homogeneity of the daily data including average, minimum, and maximum temperature and precipitation during 1978–2015 from 404/397 national meteorological stations in North China. Based on the meteorological station metadata, the results are analyzed and the differences before and after homogenization are compared. The results show that breakpoints are present pervasively in these temperature data. Most of them appeared after 2000. The stations with a host of breakpoints are mainly located in Beijing, Tianjin, and Hebei Province, where meteorological stations are densely distributed. The numbers of breakpoints in the daily precipitation series in North China during 1978–2015 also culminated in 2000. The reason for these breakpoints, called inhomogeneity, may be the large-scale replacement of meteorological instruments after 2000. After correction by the MASH method, the annual average temperature and minimum temperature decrease by 0.04°C and 0.06°C, respectively, while the maximum temperature increases by 0.01°C. The annual precipitation declines by 0.96 mm. The overall trends of temperature change before and after the correction are largely consistent, while the homogeneity of individual stations is significantly improved. Besides, due to the correction, the majority series of the precipitation are reduced and the correction amplitude is relatively large. During 1978–2015, the temperature in North China shows a rise trend, while the precipitation tends to decrease.

Variations of Temperature in Hefei City in Recent 50 Years

2012 ◽  
Vol 616-618 ◽  
pp. 1496-1499
Author(s):  
Guo Wei Xu ◽  
Xin Tian Yuan ◽  
Shu Ling Huang ◽  
Yang Gao
Keyword(s):  
Statistical Analysis ◽  
Temperature Increase ◽  
Summer Temperature ◽  
Observation Data ◽  
Annual Average ◽  
Average Temperature ◽  
Four Seasons ◽  
Temperature Observation ◽  
Significant Temperature ◽  
Annual Average Temperature

Selecting 50 years temperature observation data from1959 to 2008 and using statistical analysis, this paper revealed the characteristics of temperature variation in Hefei city. The results show that in past 50 years, the annual average temperature in Hefei city greatly increased, tendency rate of temperature change was 0.246°C/10 a, especially after 1993, the temperature increased significantly; the temperature in four seasons all increased somewhat, warming was most prominent in spring. The most significant temperature increase was in spring, winter following behind, temperature increase in autumn was not obvious, and the average summer temperature increased the most unobvious.

scholarly journals Community Adaptation Model of Food Security Due to Global Warming in Kulon Progo

2017 ◽  
Author(s):  
Sri Rum Giyarsih
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Food Security ◽  
Survey Methods ◽  
Secondary Data ◽  
Primary Data ◽  
Structured Interviews ◽  
Intergovernmental Panel ◽  
Average Temperature ◽  
The Impact

Global warming is the increase in the average temperature of the Earth’s surface. According to the IPCC (Intergovernmental Panel on Climate Change) average temperature of the Earth’s surface was global warming is the increase in the average temperature of the 0.74 ± 0.18 0C (1.33 ± 0.32 F) over the last hundred years. The impact of rising temperatures is the climate change effect on agricultural production. If the community does not craft made adaptation to global warming will have an impact on food security. This research aims to know the society’s adaptation to food security as a result of global warming and to know the influence of global warming on food security. The research was carried out based on survey methods. The influence of global warming on food security is identified with a share of household food expenditure and the identification of rainfall. Sampling was done by random sampling. The Data used are the primary and secondary data. Primary Data obtained through structured interviews and depth interview using a questionnaire while the secondary data retrieved from publication data of the Central Bureau Statistics B(BPS), Department of Agriculture and Climatology Meteorology and Geophysics (BMKG). The expected results of the study is to know variations of food security due to global warming in Kulon Progo Regency. Comprehensive knowledge through community participation and related Government increased food security that is used as the basis for drafting the model society’s adaptation to the impacts of global warming.

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