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鹽城翻譯公司關(guān)鍵字：3.2.1 Description of indicators and benchmarksDescriptive indicators mainly reflect the actual state of development and development trends, such as economic level, the quality of life, environmental quality and resource utilization rate of change, output growth rate and so on. The assessment indicators are used to assess the economic, social and environmental linkages and coordination between levels of development, such as environmental protection investment in GDP and so on.3.2.1, input indicators and output indicators
Theoretically, the effectiveness of urban management should be a direct reflection of their level of development indicators (output indicators) to measure, but sometimes difficult to collect the output indicators, when used to reflect the general level of development policies aimed at improving input indicators (input indicators) to replace, such as real estate development and investment.
3.3, urban management performance evaluation system designEvaluation of operating performance because the city is still at the exploratory stage, have not formed a complete evaluation, this paper describes the city in front of the indicators of management theory and design principles, based on a theoretical analysis, empirical selection and combination of expert advice methods, including the establishment of a socio - economic - environmental subsystems quantitative evaluation index system of urban management (see Table 1). Limited to the length of the article, the various indicators of this article does not make a specific explanation.
Table 1 Urban management performance evaluation system matrixCriteria for the target layer layer layer unit factorCity business performance GDP per capita levels of economic development yuan / personTo have ten thousand yuan GDP / km2One hundred yuan of fixed assets, interest rate%
Tertiary industry in GDP%International tourism receipts in GDP%One hundred million yuan of total imports and exportsLabor productivity per / personGDP per unit of water consumption / ton
Power consumption per unit GDP / kWhTotal amount of ten thousand tons cargoReal estate rate of return%Real estate investment 100 million yuanPer capita disposable income of residentsOne hundred yuan fiscal revenue per GDP
One hundred yuan of financial expenditure per GDPThe balance of one hundred million yuan at the end of financial institutions
Deposits of one hundred million yuan at the end of the financial institutionsOne hundred million U.S. dollars of foreign capital actually utilized
Employment rate%Level of infrastructure development has paved roads per capita area m2 / personWater penetration%Gas penetration%Per million vehicles with busesCapital investment 100 million yuanPer capita Total Business yuan / personDrains density Km/km2
Telephone number per 100 inhabitants / 100 peoplePer capita urban construction and maintenance fund yuan / personEnvironmental quality standards per capita public green area m2 / person
Green coverage%Environmental noise standard rate%Emissions in tons per km2SO2% Compliance rate of industrial wastewaterSmoke control area coverage%
Industrial waste utilization%Fecal waste harmless treatment rate%Industrial waste gas treatment rate%Environmental investment in GDP%
Quality of living environment, living space per m2 / personHundred books in public library collectioner capita spending for spending per / person4, the performance evaluation of urban management ideas
In this paper, a comprehensive system based on the principles of the city's business performance evaluation system, involving many indicators, a huge amount of computing, but there will inevitably be overlap and related indicators of meaning. Therefore, this choice of multivariate statistical methods - factor analysis and cluster analysis for specific urban business performance evaluation.
Factor analysis method used to study the correlation matrix of internal dependencies, it will be consolidated into a few more variables' factor "among the correlation. Using factor analysis indicators can be reduced dimensionality, the number of indicators data condensed into a relatively small number of common factors, to reflect the essential characteristics of the data, then convert the information into the data common factor factor value, and then were weighted to arrive at each city's total operating performance score. According to business performance scores, many cities can sort and analyze the operating conditions.
The basic principle of cluster analysis is the first to own a certain number of samples as a class, then the closeness of the sample will be close to the highest level of two to merge, given the combined class and other classes of closeness between the degree of further consolidation. Repeat this process until all the samples combined into one category.
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