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| Registros recuperados: 72 | |
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| Li-juan, Tang; Lei, Lei; Ling, Cao. |
| Variation of cultivated land quality in 10 major cities and its driving forces are introduced in recent 10 years. And economic development and population growth are the common driving forces for the reduction of cultivated land in coastal cities. Among them, economic development is the main driving force. Taking Huludao City as an example, driving factors of cultivated land variation in Huludao City are studied by Principal Component Analysis according to the relevant statistical data in the year 1998-2007. Result shows that in recent 10 years, total cultivated land area has increased in Huludao City, especially in the years 1998-2002. Driving force of cultivated land variation in Huludao City can be summarized as economic growth, population growth and... |
| Tipo: Journal Article |
Palavras-chave: Coastal city; Cultivated land; Quantity variation; Driving force; Principal component analysis; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/93242 |
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| Hlavsa, Tomas. |
| Composite indicators are useful as tool for complex evaluation and aggregation of different variables of regional development. Variables which are aggregated in a composite indicator have first to be weighted. All variables may be given equal weights or they mea be given differing weights which reflect the significance, reliability or other characteristics of the underlying data. The weights given to different variables heavily influence the outcomes of the composite indicator. Aim of this paper is an evaluation of selected methods for weighting of particular variables in frame of composite indicator construction. Evaluation is verified on group of regional economic variables based on Strategy of regional development. |
| Tipo: Journal Article |
Palavras-chave: Composite indicator; Region; Principal component analysis; Expert; Community/Rural/Urban Development; Research Methods/ Statistical Methods; GA; IN. |
| Ano: 2010 |
URL: http://purl.umn.edu/99082 |
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| Lapple, Doris; Kelley, Hugh. |
| Whilst the adoption of agricultural techniques has received considerable attention in the literature, the ability and willingness of potential adopters to change their current farming system is often overlooked. This paper is concerned with the intention of conventional farmers to convert to organic farming by using the social-psychology theory of planned behaviour. Drivers and barriers of conversion to organic farming are identified by applying a belief based concept, which is confirmed using principal component analysis. In addition, accounting for heterogeneity regarding farmers‟ environmental attitudes masks considerable differences, notably at intention, attitudes and control perceptions. Overall, results reveal that conversion is indeed affected by... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Organic farming; Theory of planned behaviour; Principal component analysis; Heterogeneity; Production Economics. |
| Ano: 2010 |
URL: http://purl.umn.edu/91949 |
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| Guan, Lin; Li, Chun lan; Zhang, Bo. |
| In order to make analysis on consumption structure of rural residents, the paper make a principle component analysis on consumption expenditure per capita of rural residents in different areas of 2009 based on statistics of China statistical yearbook of 2010. Selecting a principal component, the paper arranges 31 provinces in China in order. Shanghai lists the 1st place with highest marks; coastal provinces in southeastern part, the Northeast, Beijing and Tianjin are at the top; the northern and central parts with Hebei, Shanxi, Hubei as representatives scores minus which is a little lower than that of average; the western part, such as Guizhou, Xizang, Ganssu and so on are in far behind. The paper also makes analysis on the consumption structure of rural... |
| Tipo: Journal Article |
Palavras-chave: Rural residents; Consumption; Principal component analysis; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/113432 |
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| Ma, Hui-zi; Zhao, Bang-hong; Xuan, Yong-sheng. |
| By selecting me time sequence data concerning influencing factors of rural consumer demand in Hebei Province from 2000 to 2010, this paper uses the principal component analysis method in multiplex econometric statistical analysis, constructs the principal component of consumer demand in Hebei Province, conducts regression on the dependent variable of consumer spending per capita in Hebei Province and the principal component of consumer demand so as to get principal component regression, and then conducts quantitative and qualitative analysis on the principal component. The results show that total output value per capita (yuan), employment rate, and income gap, are correlative with rural residents' consumer demand in Hebei Province positively; consumer... |
| Tipo: Journal Article |
Palavras-chave: Consumer demand; Principal component analysis; Regression analysis; Hebei Province; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/117256 |
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| Jiang, Qing-song; Zhang, Xing-ji. |
| Agricultural input and output status in southern Xinjiang, China is introduced, such as lack of agricultural input, low level of agricultural modernization, excessive fertilizer use, serious damage of environment, shortage of water resources, tremendous pressure on ecological balance, insignificant economic and social benefits of agricultural production in southern Xinjiang, agriculture remaining a weak industry, agricultural economy as the economic subject of southern Xinjiang, and backward economic development of southern Xinjiang. Taking the Aksu area as an example, according to the input and output data in the years 2002-2007, input-output model about regional agriculture of the southern Xinjiang is established by principal component analysis. DPS... |
| Tipo: Journal Article |
Palavras-chave: Regional agriculture; Input-output model; Production and income increase; Principal component analysis; Econometric model，China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/96049 |
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| Zeller, Manfred; Houssou, Nazaire; Alcaraz V., Gabriela; Schwarze, Stefan; Johannsen, Julia. |
| Developing accurate, yet operational poverty assessment tools to target the poorest households remains a challenge for applied policy research. This paper aims to develop poverty assessment tools for four countries: Bangladesh, Peru, Uganda, and Kazakhstan. The research applies the Principal Component Analysis (PCA) to seek the best set of variables that predict the household poverty status using easily measurable socio-economic indicators. Out of sample validations tests are performed to assess the prediction power of a tool. Finally, the PCA results are compared with those obtained from regressions models. In-sample estimation results suggest that the Quantile regression technique is the first best method in all four countries, except Kazakhstan. The PCA... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Poverty assessment; Targeting; Principal component analysis; Bangladesh; Peru; Kazakhstan; Uganda; Food Security and Poverty; H5; Q14; I3. |
| Ano: 2006 |
URL: http://purl.umn.edu/25396 |
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| Jia, Xian-wei; Feng, Ling. |
| Based on the previous research, a total of 10 risk indices are selected according to the specific situation in Sichuan Province, such as natural risk, resource constraint risk, internal management risk, capital risk, technical input and output risk, market risk, contract credit risk, property risk and policy support risk. According to the questionnaire survey by cooperative economic organization of Sichuan Province, principal component analysis is used to analyze the importance and influence degree of the operation risk of rural cooperative economic organization. Result shows that in the operation of cooperative economic organization, management risk has greater influence degree and importance degree, which should be paid special attention to. Capital,... |
| Tipo: Journal Article |
Palavras-chave: Type of risk; Influence degree; Principal component analysis; Risk prevention; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/93643 |
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| Tang, Jun. |
| In order to rank and cluster the economic status of rural residents in 31 provinces, cities and autonomous regions, the MATLAB software is used and the component analysis and the cluster analysis are conducted on the data reflecting the economic status of each area. The results show that the provinces or cities with high comprehensive , scores are Shanghai Municipality, Beijing Municipality, Zhejiang Province, Jiangsu Province, Tianjin Municipality, Guangdong Province, Fujian Province, Shandong Province and Liaoning Province according to priority; the provinces or autonomous regions with low comprehensive scores are Gansu Province, Guizhou Province , Tibet, Uygur autonomous region and Yunnan Province. The economic status of rural residents in the 31... |
| Tipo: Journal Article |
Palavras-chave: Economic status of rural residents; Principal component analysis; Cluster analysis; Economic development; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/102388 |
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| Luo, Li; Yang, Zi-sheng; Kang, Yun-hai. |
| On the basis of overview of the study area, by analyzing the dynamic change of farmland in Ninglang County, we can find that the farmland area in this county tended to decrease from 1996 to 2008. According to the investigation data concerning land change provided by Bureau of Land and Resources in Ninglang County and socio-economic data provided by Bureau of Statistics in Ninglang County, we select 11 indices, such as total population, GDP, total output value of county and so on, coupled with SPSS statistical method, we adopt principal component analysis method to analyze driving force factors of farmland use change in the high and cold areas in Northwest Yunnan. The results show that the two factors of economic development and population growth are the... |
| Tipo: Journal Article |
Palavras-chave: Changes of farmland; Driving force; Principal component analysis; Ninglang County; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/113427 |
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| Hao, Chun-xu; Yang, Li-fei; Wen, Ya-li. |
| According to the data of economic development in Beijing from the year 1995 to 2007, relevant economic indices are selected to analyze the economic development level of Beijing by the Principal Component Analysis Method. Result shows that the national economy maintains high, sustainable and stable development in the years 1995-2007. Both the primary and secondary industry output values have increased year by year; and the tertiary industry output value has grown rapidly. The annual gross domestic product, the output value of tertiary industry, and the total retail sales of consumer goods have the greatest impact on economic level of Beijing. Output value of secondary industry is the growth ability factor in economic environment. Empirical analysis shows... |
| Tipo: Journal Article |
Palavras-chave: Economic level; Principal component analysis; SPSS statistical software; China; Agribusiness. |
| Ano: 2009 |
URL: http://purl.umn.edu/93459 |
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| Registros recuperados: 72 | |
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