世界経済・社会統計 = World development indicators

https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

Impatti, adattamento e vulnerabilita Le cause e le responsabilita dei cambiamenti climatici sono state trattate sul numero di ottobre della rivista Cda. Approfondiamo l’argomento presentando il documento: “Cambiamenti climatici 2007: impatti, adattamento e vulnerabilita” votato ad aprile 2007 dal secondo gruppo di lavoro del Comitato Intergovernativo sui Cambiamenti Climatici (Intergovernmental Panel on Climate Change). Si tratta del secondo di tre documenti che compongono il quarto rapporto sui cambiamenti climatici.

/pdf/climate-change-2007-impacts-adaptation-and-vulnerability-31xc1cf4d3.pdf

Climate Change 2007: Impacts, Adaptation and Vulnerability.

Watts N, Amann M, Ayeb-Karlsson S, et al. The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health. Lancet 2018; 391: 581–630—In this Review (published online first on Oct 30, 2017), Jonathan Chambers, Ian Hamilton, Robert Lowe, and Steve Pye's affiliation has been corrected to UCL Energy Institute, London, UK; Fereidoon Owfi and Mahnaz Rabbaniha's affiliation has been corrected to Iranian Fisheries Science Research Institute, AREEO, Tehran, Iran; Meisam Tabatabaei's affiliation has been corrected to Biofuel Research Team, Agricultural Biotechnology Research Institute of Iran, AREEO, Karaj, Iran; and Ali Mohammad Latifi's affiliation has been corrected to Applied Biotechnology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. In figures 31, 33, and 34, the formatting of the currency in the y-axis title has been corrected to US$2016. In figure 36, the y-axis title has been corrected to “Fossil fuel consumption subsidies (US$2016 billion)”. In figure 37, RGGI has been explained in the figure legend and an asterisk symbol has been removed from the figure. In Table 2, CO2 has been spelled out as carbon dioxide. These corrections have been made to the online version as of Nov 23, 2017, and the printed Review is correct.

The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health (vol 391, pg 540, 2017)

This paper challenges the validity and usefulness of the regime concept on five separate counts. These lead to two further and secondary (in the sense of indirect), but not less important, grounds for expressing the doubt whether further work of this kind ought to be encouraged. The five counts (or “dragons” to watch out for) are first, that the study of regimes is, for the most part a fad, one of those shifts of fashion not too difficult to explain as a temporary reaction to events in the real world but in itself making little in the way of a long-term contribution to knowledge. Second, it is imprecise and woolly. Third, it is value-biased, as dangerous as loaded dice. Fourth, it distorts by overemphasizing the static and underemphasizing the dynamic element of change in world politics. And fifth, it is narrow-minded, rooted in a state-centric paradigm that limits the vision of a wider reality.

CAVE! HIC DRAGONES: una crítica del análisis de regímenes

This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test was employed to detect the abrupt change point in time frame, while the Mann-Kendall (MK) test and Sen's Innovative trend analysis were performed to analyze the rainfall trend. The Artificial Neural Network-Multilayer Perceptron (ANN-MLP) was employed to forecast the upcoming 15 years rainfall across India. We mapped the rainfall trend pattern for whole country by using the geo-statistical technique like Kriging in ArcGIS environment. Results show that the most of the meteorological divisions exhibited significant negative trend of rainfall in annual and seasonal scales, except seven divisions during. Out of 17 divisions, 11 divisions recorded noteworthy rainfall declining trend for the monsoon season at 0.05% significance level, while the insignificant negative trend of rainfall was detected for the winter and pre-monsoon seasons. Furthermore, the significant negative trend (-8.5) was recorded for overall annual rainfall. Based on the findings of change detection, the most probable year of change detection was occurred primarily after 1960 for most of the meteorological stations. The increasing rainfall trend had observed during the period 1901-1950, while a significant decline rainfall was detected after 1951. The rainfall forecast for upcoming 15 years for all the meteorological divisions' also exhibit a significant decline in the rainfall. The results derived from ECMWF ERA5 reanalysis data exhibit that increasing/decreasing precipitation convective rate, elevated low cloud cover and inadequate vertically integrated moisture divergence might have influenced on change of rainfall in India. Findings of the study have some implications in water resources management considering the limited availability of water resources and increase in the future water demand.

Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches.

This research paper analyzes the impact of climate change on agricultural productivity in quantity terms, value of production in monetary terms and food security in India. The study undertook state wise analysis based on secondary data for the duration of 1980 to 2009. Climate variation affects food grain and non-food grain productivity and both these factors along with other socioeconomic and government policy variables affect food security. Food security and poverty are interlinked with each other as cause and effect and vice versa, particularly, for a largely agrarian economy of India. Regression results for models proposed in this study show that for most of the food grain crops, non-food grain crops in quantity produced per unit of land and in terms of value of production climate variation cause negative impact. The adverse impact of climate change on the value of agricultural production and food grains indicates food security threat to small and marginal farming households. The state wise food security index was also generated in this study; and econometric model estimation reveals that the food security index itself also gets adversely affected due to climatic fluctuations.

https://www.econstor.eu/bitstream/10419/81545/1/767315839.pdf

Impact of Climate Variation on Agricultural Productivity and Food Security in Rural India

A review of literature on climate change and its impacts on agriculture productivity

/pdf/impact-of-climate-variation-on-agricultural-productivity-and-vmsr3jlz.pdf

Pritee Sharma

Papers

Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches.

Impact of Climate Variation on Agricultural Productivity and Food Security in Rural India

A review of literature on climate change and its impacts on agriculture productivity

Impact of Climate Variation on Agricultural Productivity and Food Security in Rural India

Climate Change and its impacts on Indian agriculture: An Econometric analysis