Main Indicators and Correlation Degree Measurement Analysis for Comprehensively Consolidating the Foundation of Food Security
Theoretical interpretation of the policy implications for comprehensively consolidat-ing the foundation of food security,and the construction of a comprehensive evaluation index system for the foundation of food security with 34 indicators in four dimensions.Based on the time series data of 2011-2021,Newton's second law thought,entropy weight method,grey relational model and other methods are used to reveal the direction of the role of each indicator on the foundation of food security,measure the degree of correlation between each indicator and the foundation of food security,and predict the trend of key indicators.Research has found that in terms of driving forces for consolidating the foundation of food security,farmland protection and technological support play a positive role,while the role of party and government joint re-sponsibility in consolidating is fluctuating,while the income from grain cultivation shows a negative effect.While stabilizing the role of the Party and government in ensuring food security,the focus of support should gradually shift towards agricultural scientific and technological pro-gress,and through technological support,drive the continuous improvement of farmland pro-tection effectiveness and grain yield levels.The overall trend of the comprehensive index of China's food security foundation shows a"W"-shaped change,but the complex trend of the technology support index and the relatively stable trend of the grain yield index at a relatively low level should be taken seriously.The role of farmland quality and technological support in ensuring food security will continue to strengthen in the future,and it is necessary to focus on preventing food security risks caused by the gradual reduction of farmland quantity and the problem of"who will grow grain".
Food SecurityAgricultural Scientific and Technological ProgressFarml and ProtectionGrain Production IncomeDynamic Quantification Analysis