The aim of this research was to value, using a multiple regression model, the role of knowledge to guarantee the development in rural areas of European Union countries over 10 years. The main question was to find out ...The aim of this research was to value, using a multiple regression model, the role of knowledge to guarantee the development in rural areas of European Union countries over 10 years. The main question was to find out relationships among some variable, as the percentage of national Gross Domestic Product （GDP） used to improve the high training, and rural development in terms of agricultural labour units. The results underlined in 2001 as an high value of rural development, in terms of working force in agriculture, was identified in some countries of European Union characterised by a low value both in high training investments and also by a low value of Human Development Index, according to the definition of The Economist. The results in 2010 pointed out an inverse correlation among the dependent variable development in rural areas and the independent variables per capita GDP and national expenditure in advanced training, in percentage of national GDP. The learning by doing and by using, the introduction of advanced training in agriculture, using Long Life Learning measures of European Union, are important to improve the development of European rural areas but, sometimes, these actions are not perceived as something of useful.展开更多
Ecological degradation is a common problem around the world which has a profound impact on the sustainable development of mankind.This paper selects Lashihai basin as the study case,and uses Logistic stepwise regressi...Ecological degradation is a common problem around the world which has a profound impact on the sustainable development of mankind.This paper selects Lashihai basin as the study case,and uses Logistic stepwise regression to simulate the original ecology of the potential vegetation in the area as a reference system for the definition and analysis of the subsequent degree of ecological degradation and its distribution characteristics.The analysis yields four main results.(1)The strong human disturbance areas in the Lashihai region are concentrated in the Lashihai basin,and the main impact factors are roads,residential areas and cultivated lands.(2)Besides lake,there are eight potential vegetation types in Lashihai,among which evergreen coniferous forest is the dominant community,and the other seven planting types of potential vegetation include warm meadow,grass,beach grass,evergreen broad-leaved shrubbery,deciduous broad-leaved shrubbery,warm steppe and alpine grassland.(3)The elevation and average phosphorus content have significant effects on the distribution of potential vegetation,while the different vegetation types have differential sensitivities to environmental factors.(4)On the whole,the degree of ecological degradation in the basin is relatively light,in which the proportion of non-degraded areas accounts for nearly half,the area of mild degradation is about one-fourth,the moderately degraded area is concentrated in areas with strong human disturbance,accounting for only 18.64%,and the severe degradation is rare,occupying an area of only 3.17%.展开更多
文摘The aim of this research was to value, using a multiple regression model, the role of knowledge to guarantee the development in rural areas of European Union countries over 10 years. The main question was to find out relationships among some variable, as the percentage of national Gross Domestic Product （GDP） used to improve the high training, and rural development in terms of agricultural labour units. The results underlined in 2001 as an high value of rural development, in terms of working force in agriculture, was identified in some countries of European Union characterised by a low value both in high training investments and also by a low value of Human Development Index, according to the definition of The Economist. The results in 2010 pointed out an inverse correlation among the dependent variable development in rural areas and the independent variables per capita GDP and national expenditure in advanced training, in percentage of national GDP. The learning by doing and by using, the introduction of advanced training in agriculture, using Long Life Learning measures of European Union, are important to improve the development of European rural areas but, sometimes, these actions are not perceived as something of useful.
基金The Basic Scientific Research Fund of Central Public Welfare Scientific Research Institutes(2021-9070b)。
文摘Ecological degradation is a common problem around the world which has a profound impact on the sustainable development of mankind.This paper selects Lashihai basin as the study case,and uses Logistic stepwise regression to simulate the original ecology of the potential vegetation in the area as a reference system for the definition and analysis of the subsequent degree of ecological degradation and its distribution characteristics.The analysis yields four main results.(1)The strong human disturbance areas in the Lashihai region are concentrated in the Lashihai basin,and the main impact factors are roads,residential areas and cultivated lands.(2)Besides lake,there are eight potential vegetation types in Lashihai,among which evergreen coniferous forest is the dominant community,and the other seven planting types of potential vegetation include warm meadow,grass,beach grass,evergreen broad-leaved shrubbery,deciduous broad-leaved shrubbery,warm steppe and alpine grassland.(3)The elevation and average phosphorus content have significant effects on the distribution of potential vegetation,while the different vegetation types have differential sensitivities to environmental factors.(4)On the whole,the degree of ecological degradation in the basin is relatively light,in which the proportion of non-degraded areas accounts for nearly half,the area of mild degradation is about one-fourth,the moderately degraded area is concentrated in areas with strong human disturbance,accounting for only 18.64%,and the severe degradation is rare,occupying an area of only 3.17%.
