scholarly journals Assessing the Vulnerability of the Agricultural Sector in Nghe An Province Due to the Impact of Climate Change Taking into Account the Weight of Indicators

Author(s):  
Hoang Luu Thu Thuy

Assessing the level of socio-economic vulnerability focuses on the degree of different impacts due to the threats of climate change.The variables of the vulnerability function is a set of indicators.In the process of impact, differentindicatorshave different roles, expressed by the weight of indicators. The selected set of indicator includes 20 indicators. The weights of these indicators are calculated by Analytic Hierarchy Process with the support of Expert Choice software.The results show that the indicators related to natural disasters in the exposure variable, indicators related to crop areas in sensitive variables and indicators related to the prevention and mitigation of adverse impacts of Climate change and natural disasters play the most important role in assessing the vulnerability.The results of assessing the level of vulnerability caused by the impacts of climate change and the natural disasters of the indicators show that: 18 out of 20 districts in the province have medium level of vulnerability.Particularly, in the two districts of Tuong Duong and Thanh Chuong,due to thehigh impact of climate change and natural disastersin combination with the low capacity of adaptation in the agricultural sector, the synthetic vulnerability is assessed at a high level.  

2021 ◽  
Vol 886 (1) ◽  
pp. 012090
Author(s):  
L R E Malau ◽  
A T Darhyati ◽  
Suharno

Abstract Food security is one of the main goals in achieving the Sustainable Development Goal’s (SDG’s). Food security, natural disasters, and climate change are thought to be interrelated. Climate change contributes to natural disasters such as floods, landslides, drought, land and forest fires, resulting in reduced food production, increased food prices, and disrupted access to food distribution. Ultimately, the impacts of climate change and natural disasters are one of the main causes of hunger and affect all dimensions of food security. This study aimed to analyze the impact of climate change, natural disasters, and other determinants on food security in Indonesia using the Tobit regression. The data used was from 33 provinces in 2010-2018. Climate change was proxied by rainfall, while natural disasters were proxied by the frequency of natural disasters and facility damage due to disasters. The results showed that food crop production, GRDP per capita, and the average years of schooling had a significant effect on increasing food security. Meanwhile, rainfall and deforestation had a significant effect on reducing food security. On the other hand, although not significant, the frequency and damage to facilities due to natural disasters harms food security. The results of this study confirmed the importance of preserving forest biodiversity as an effort to achieve food security as seen from the negative effects of rainfall and deforestation on food security. In this case, deforestation was one of the contributors to climate change which in turn had an impact on the intensity of natural disasters. To achieve food security for the achievement of the SDGs, policies to reduce deforestation or forest conversion need attention as one of the efforts to mitigate the impacts of climate change and natural disasters.


2012 ◽  
Vol 102 (7) ◽  
pp. 3761-3773 ◽  
Author(s):  
Olivier Deschênes ◽  
Michael Greenstone

Fisher et al. (2012)––henceforth, FHRS––have uncovered coding and data errors in our paper, Deschênes and Greenstone (2007), henceforth, DG. We acknowledge and are embarrassed by these mistakes. We are grateful to FHRS for uncovering them. We hope that this Reply will also contribute to advancing the literature on the vital question of the impact of climate change on the US agricultural sector.


Author(s):  
Boris Ivanovskiy ◽  

The types and scales of the most significant natural disasters are determined. The problems of forming a statistical database on natural disasters are considered, as well as methodological issues of economic measurement of the consequences of natural disasters. Particular attention is paid to the study of the impact of climate change on the financial sector of the economy of the affected regions.


Author(s):  
Ritesh Kumar Yadav ◽  
Jahanara Jahanara

More than half of Indian population were engaged in agricultural sector but the available technology doesn’t ensure food security of the country. Hence, to diffuse new agricultural invention and innovation in the farming community, there arises a need for effective medium for transfer of technology. Thus, KVK bridges the gap between the technology generation and dissemination. The present study was proposed to understand the impact of KVK in doubling farmers income to formulate suitable programmes. For the study, descriptive research design was adopted. 120 respondents from Biswan taluk of Sitapur district of Uttar Pradesh were selected as respondents. Primary data collected from respondents and secondary data from available literatures. The findings revealed that majority of the respondents were middle aged, illiterate, upto 5 members in their family, medium level of annual income, possesses their own land, agriculture as their main occupation, medium level of mass media exposure, office bearer in one organization, high level of extension contact. Meanwhile, more than half of the respondents had reported medium level of impact towards the activities carried out by KVK, beneficiary selection is not unbiased is a major constraint suggested that maximum emphasis should be given on learning by doing.


Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2201 ◽  
Author(s):  
Feng Zeng ◽  
Ming-Guo Ma ◽  
Dong-Rui Di ◽  
Wei-Yu Shi

Separating the impact of climate change and human activities on runoff is an important topic in hydrology, and a large number of methods and theories have been widely used. In this paper, we review the current papers on separating the impacts of climate and human activities on runoff, summarize the progress of relevant research methods and applications in recent years, and discuss future research needs and directions.


Author(s):  
Mohamed Alboghdady ◽  
Salah E. El-Hendawy

Purpose The purpose of this study is to analyze the impact of climate change and variability on agricultural production in Middle East and North Africa region (MENA) where the deleterious impacts of climate change are generally projected to be greatest. Design/methodology/approach The study used a production function model using Fixed Effect Regression (FER) analysis and then using marginal impact analysis to assess the impact of climate change and variability on agricultural production. Therefore, the study utilized panel data for the period 1961-2009 pooled from 20 countries in MENA region. Findings Results showed that 1 per cent increase in temperature during winter resulted in 1.12 per cent decrease in agricultural production. It was also observed that 1 per cent increase in temperature variability during winter and spring resulted in 0.09 and 0.14 per cent decrease in agricultural production, respectively. Results also indicated that increasing precipitation during winter and fall season and precipitation variability during winter and summer seasons had negative impact. The estimated parameters of square temperature and precipitation indicated that climate change has significant nonlinear impacts on agricultural production in MENA region. Originality/value Despite there are many studies on the impact of climate change on agricultural production, there is a lack of publications to address the economic impact of both climate change and variability on agricultural production in MENA region. Thus, these results are more comprehensive and more informative to policymakers than the results from field trials.


2020 ◽  
Vol 10 (3) ◽  
pp. 54
Author(s):  
Abeer Mohammed Raafat Khalaf

Climate change is one of the significant and threatening problems worldwide. It has attracted the attention of scientists and politicians as well as writers and critics especially in the western world. Writers have responded by writing climate change fiction despite the challenges of representation. James Bradley, an Australian novelist and critic, is one of those writers who are deeply occupied by the impacts of climate change. He has written Clade (2017) which traces the life of Adam Leith, a climatologist, and his family descendants amid the disastrous consequences of climate change. To analyze this novel, the researcher focuses on solastalgia, and applies the approach of everyday aesthetics. In a nutshell, the paper attempts to highlight the impact of climate change, examine the relationship between the characters and their environment, and explore the possibility of adaptation and detection of aesthetic values in an environment destroyed by climate change.


2012 ◽  
Vol 51 (4II) ◽  
pp. 261-276 ◽  
Author(s):  
Rehana Siddiqui ◽  
Ghulam Samad ◽  
Muhammad Nasir ◽  
Hafiz Hanzla Jalil

It is necessary for a country to make its agriculture sector efficient to enhance food security, quality of life and to promote rapid economic growth. The evidence from least developed countries (LDCs) indicates that agriculture sector accounts for a large share in their gross domestic product (GDP). Thus the development of the economy cannot be achieved without improving the agriculture sector. According to the Economic Survey of Pakistan (2011-12) its main natural resource is arable land and agriculture sector’s contribution to the GDP is 21 percent. The agricultural sector absorbs 45 percent of labour force and its share in exports is 18 percent. Given the role of agricultural sector in economic growth and its sensitivity to change in temperature and precipitation it is important to study the impact of climate change on major crops in Pakistan. There are two crops seasons in Pakistan namely, Rabi and Kharif. Rabi crops are grown normally in the months of November to April and Kharif crops are grown from May to October. These two seasons make Pakistan an agricultural economy and its performance depends on the climate during the whole year. Climate change generally affects agriculture through changes in temperature, precipitation.


2021 ◽  
Vol 13 (24) ◽  
pp. 14025
Author(s):  
Fazlullah Akhtar ◽  
Usman Khalid Awan ◽  
Christian Borgemeister ◽  
Bernhard Tischbein

The Kabul River Basin (KRB) in Afghanistan is densely inhabited and heterogenic. The basin’s water resources are limited, and climate change is anticipated to worsen this problem. Unfortunately, there is a scarcity of data to measure the impacts of climate change on the KRB’s current water resources. The objective of the current study is to introduce a methodology that couples remote sensing and the Soil and Water Assessment Tool (SWAT) for simulating the impact of climate change on the existing water resources of the KRB. Most of the biophysical parameters required for the SWAT model were derived from remote sensing-based algorithms. The SUFI-2 technique was used for calibrating and validating the SWAT model with streamflow data. The stream-gauge stations for monitoring the streamflow are not only sparse, but the streamflow data are also scarce and limited. Therefore, we selected only the stations that are properly being monitored. During the calibration period, the coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE) were 0.75–0.86 and 0.62–0.81, respectively. During the validation period (2011–2013), the NSE and R2 values were 0.52–0.73 and 0.65–0.86, respectively. The validated SWAT model was then used to evaluate the potential impacts of climate change on streamflow. Regional Climate Model (RegCM4-4) was used to extract the data for the climate change scenarios (RCP 4.5 and 8.5) from the CORDEX domain. The results show that streamflow in most tributaries of the KRB would decrease by a maximum of 5% and 8.5% under the RCP 4.5 and 8.5 scenarios, respectively. However, streamflow for the Nawabad tributary would increase by 2.4% and 3.3% under the RCP 4.5 and 8.5 scenarios, respectively. To mitigate the impact of climate change on reduced/increased surface water availability, the SWAT model, when combined with remote sensing data, can be an effective tool to support the sustainable management and strategic planning of water resources. Furthermore, the methodological approach used in this study can be applied in any of the data-scarce regions around the world.


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