The trend of global warming has sparked a growing concern about the impact of climate change on food security. China is a vast country with different climate situations in each region. This study examines the impact of climate change on food security in China using panel data from 31 provinces and cities (1984–2020). Results show that climate change significantly affects food security, bringing more uncertainty risks. Agricultural policies can mitigate this impact by reducing production costs and improving farmers' risk resistance and motivation. Regional heterogeneity exists, with climate change having significant moderating effects on food security in non-food-producing regions and rainfall having significant effects in north and central regions. Relevant policy implications are suggested for strengthening climate change resilience, improving system design, and coordinating regional agricultural production. 

How does climate change affect food security? Evidence from China

Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration

Ever Increasing accumulation of solid waste, attributed to population growth and rapid urbanization, is a serious issue for all nations. This creates hindrance in implementing sustainable solid waste management systems (SWMS), which contribute to socio-economic-environmental-operational (SEEO) benefits for the nations and their citizens. Limited understanding of various solid waste management (SWM) practices, their operational sequence, and other system constraints pose numerous challenges for the concerned authorities and policymakers. This paper provides a framework depicting three broad categories of strategies for managing solid waste: preventive, end-of-pipe (EOP), and environmental restoration. Among these, the research emphasizes on EOP strategies, being suitable alternative as per current requirements, to deal with massive amounts of generated waste. It further adopts Grey-DEMATEL approach to models the causal relationship among EOP strategies to identify the most influential strategy, which influences other ones. The model suggests waste segregation to be the major enabler for other EOP strategies, as it has maximum overall significance value (R + C) between 1.18 and 1.41 and it is the only one with positive value in “net-effect” computation (R–C), compared to other strategies with negative (R–C) values. This would enable concerned authorities to understand and follow the sequence of actions. Finally, a comprehensive framework is proposed for effective, efficient, and sustainable methods of handling different types of solid waste using technology-enabled EOP strategies. A case study is performed to demonstrate the significance of waste segregation towards SEEO benefits. It indicates that technology-based solutions at decentralized depots and establishment of biogas plant in the vicinity of garbage collection point leads to reduction in transportation cost and energy saving in efficient manner. The ground level implementation of our research in an Indian city resulted in the reduction of daily vehicle requirement from 25 to 20 vehicles, leading to approx. 25% savings in overall transportation costs thereby cutting exchequer's bill by up to $ 2820/month. It also reveals that mechanized and decentralized solutions were not effective for inert waste, its disposal to landfill was more suited alternative. 

Sustainable solid waste management system using technology-enabled end-of-pipe strategies.

Enhancing scenic recommendation and tour route personalization in tourism using UGC text mining

Carbon price prediction based on LsOALEO feature selection and time-delay least angle regression

Carbon trading price prediction based on a two-stage heterogeneous ensemble method

Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method

For different decision makers, their approach towards management of operational risks differs due to difference in background and behavioural preferences. For such reasons, they attach different importance to various perspectives to manage operational risks. Present study conducts and analyses risk profiling of food security impediments, in which operational risk has come up as an important impediment. Based on three perspectives namely, social, economic, and operational, the research first evaluates severity of impediments in food security. Risk profiling is then conducted on the basis of decision makers' preferences towards different perspectives. Integration of fuzzy set theory and evidential reasoning algorithm along with decision makers' behavioural preferences have been used for the analysis. The proposed model generates a continuum of scenarios towards relative importance of three perspectives. It is observed that despite changing the importance of perspectives, a few risks show robustness in their severity, while other ones are sensitive to small changes. Based on these dynamic changes in risk-percept, insightful risk profiling is presented in this research. The risk profiling approach uniquely helps decision makers to adequately plan their course of actions to deal with operational risks associated with food security. 

/pdf/risk-profiling-of-food-security-impediments-using-decision-lpkd5v9l.pdf

Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management

A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem

Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach

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