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المؤلفون: Josily Samuel, Chitiprolu Anantha Rama Rao, Bellapukonda Murali Krishna Raju, Anugu Amarender Reddy, null Pushpanjali, Ardha Gopala Krishna Reddy, Ramaraju Nagarjuna Kumar, Mohammed Osman, Vinod Kumar Singh, Jasti Venkata Naga Satya Prasad
المصدر: Sustainability, Vol 14, Iss 382, p 382 (2022)
Sustainability; Volume 14; Issue 1; Pages: 382مصطلحات موضوعية: climate resilient technologies, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, TJ807-830, drought, Management, Monitoring, Policy and Law, TD194-195, Renewable energy sources, Environmental sciences, difference-in-difference estimate, farm income, GE1-350
الوصف: Asia is the region most vulnerable to climate change and India is ranked as one of the most climate vulnerable countries in the world, frequently affected by natural disasters. In this study, we investigated the impact of drought on crop productivity, farmer’s employment and income. The difference-in-difference model (DID) and stepwise multiple linear regression (MLR) were employed to quantify the impact of adopting climate resilient technologies (CRTs) on farm household income during a drought. The factors influencing farm incomes were analyzed using MLR. The study used survey data collected from the drought prone district of Telangana, India. Sixty farmers each from a village adopted under the National Innovations in Climate Resilient Agriculture (NICRA) program and a control village were interviewed. Primary data on the socio-economic characteristic of farmers, cropping pattern, income composition, productivity of major crops, employment and climate resilient interventions adopted by farmers were collected using a well-structured schedule. The results reveal that income crop cultivation was the major contributor to household income (60%) followed by livestock rearing. Farmers reported that droughts decreased the income from crops by 54 per cent and income from livestock rearing by 40 per cent. The farmers belonging to the climate resilient village had 35 per cent higher incomes compared to those in the control village and it was estimated to be Rs. 31,877/farm household/year during droughts using the DID estimate. Farm size, livestock possession, adoption of CRTs and investment in agriculture were the determining factors influencing farm income. Thus, farmers especially in drought prone regions need to be encouraged and supported to adopt cost effective, location specific climate resilient technologies.
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2دورية أكاديمية
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3دورية أكاديمية
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المؤلفون: Anthony M. Whitbread, Murali Krishna Gumma, Ramadjita Tabo, Bouba Sidi Traoré, Seydou Sangaré, Birhanu Zemadim Birhanu
المصدر: Sustainability, Vol 13, Iss 7757, p 7757 (2021)
Sustainability
Volume 13
Issue 14مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Geography, Planning and Development, TJ807-830, Context (language use), Management, Monitoring, Policy and Law, TD194-195, 01 natural sciences, Renewable energy sources, Agricultural science, Sudano-Sahelian, Sustainable agriculture, GE1-350, 0105 earth and related environmental sciences, Food security, biology, Land use, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, business.industry, Intercropping, 04 agricultural and veterinary sciences, food security, Bunding, biology.organism_classification, sustainability, Environmental sciences, Geography, climate change, Agriculture, 040103 agronomy & agriculture, Food processing, 0401 agriculture, forestry, and fisheries, business, millet yield
الوصف: Climate change has resulted in food insecurity for the majority of farming communities in the Sudano-Sahelian zone of Mali. In this paper, we present a methodology for scaling climate-smart agriculture (CSA) technologies such as Contour Bunding (CB), Microdosing (MD), Intercropping (IC), Zai pits, and Adapted crop Variety (AV) treatments, and evaluated their contribution to smallholder households’ food self-sufficiency. We used the participatory technology selection method and onfarm demonstration in order to tackle farm-related constraints. The study found that there has been a major shift in the spatial distribution of land use/land cover (LULC) classes between 2016 and 2020. About 25% of the areas changed from other land use/land cover to cropland. Crop yields obtained from CSA-treated fields were significantly higher than yields from farmers’ practice (FP). The application of CSA technologies resulted in millet yield increases by 51%, 35%, and 23% with contour bunding (CB), microdosing (MD) and intercropping (IC), respectively. With Zai pits and adapted variety (AV) treatments, the yield increases were 69% and 27%, respectively. Further, the use of IC and MD technologies reduced the food-insecure household status to 13%, which corresponds to a food insecurity reduction of 60%. The application of Zai technology reversed the negative status of food-insecurity to +4%, corresponding to a reduction in food insecurity of more than 100%. In the case of food-secure households, the application of CSA technologies led to increased food production. However, notwithstanding this, prospects for CSA in the Sahel hinge on the capacities of farming households and local extension agents to understand the environmental, economic and social challenges in the context of climate change, and consequently to self-mobilize in order to select and implement responsive technologies.
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5دورية أكاديمية
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المصدر: Sustainability; Volume 14; Issue 5; Pages: 2757
مصطلحات موضوعية: Renewable Energy, Sustainability and the Environment, Delphi methodology, digital nation, smart city, smart nation, super smart society, society 5.0, Geography, Planning and Development, Building and Construction, Management, Monitoring, Policy and Law
الوصف: Globally, countries are increasingly facing challenges regarding their national future post the COVID-19 pandemic with respect to decreasing and aging populations; dwindling workforces; trade wars due to restricted movement of goods, people, and services; and overcoming economic development and societal problems. Accordingly, we identify the challenges and corresponding solutions that act as pillars for a framework to build a super smart nation. We analyze 73 peer-reviewed research papers from Scopus index databases and use the Delphi methodology to identify the challenges, which include people and society, robots, technology, research and innovation, digital infrastructure, data, politics, governance, and sustainability. Further, we discuss the relevant solutions, including top leadership motivation and commitment; proactive steps from the government, development of policies; legal frameworks and laws; creation of awareness programs; use of advanced technologies (such as robotics and semantic technologies); and development of interoperable infrastructure; innovation ecosystem; sustainable energy sources; and global standards for education system through transformation of the education system. These novel insights have valuable practical and theoretical implications for guiding policymakers, industry leaders, and researchers in building a super smart nation.
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