[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation w...[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation were made on agricultural input and output in Jiangsu during 1990-2012 as per factor analysis and regression analysis. [Result] The result of factor analysis showed that since the 1990s, the comprehensive efficiency of agricultural input/output in Jiangsu was growing and in-put/output of agriculture, forestry, animal husbandry and fishery, crop farming, and of food production were extracted, whose scores reflect the changes of input/output ef-ficiencies in terms of agriculture, forestry, animal husbandry, fishery, crop farming and food production in the two decades. The results of regression analysis indicated that the effects of the three indices on agricultural output tended to be volatile and the influence degrees were concluded also by regression parameters. [Conclusion] The research provides theoretical references for agricultural input/output structure in Jiangsu Province.展开更多
Low Carbon Employment is an inevitable choice for the purpose of ＂energy-saving and emission reduction＂ and ＂promoting employment＂. By Multi-variable Linear Backward Regression method, this study presents an empir...Low Carbon Employment is an inevitable choice for the purpose of ＂energy-saving and emission reduction＂ and ＂promoting employment＂. By Multi-variable Linear Backward Regression method, this study presents an empirical analysis of the emplovment impact of policy variables indexes that involves economic pull, industry upgrading, population development, technical inputs and so on. The paper demonstrates that wide range offactors will affect low carbon employment, that industry upgrading will affect how carbon employment remarkably, that to increase years of people education will notably improve low carbon employment level of secondary vocational-technical labor, and that to raise technical inputs will significantly enhance college students＇ low carbon employment.展开更多
This paper examined the dual institutional constraints arising from the market liberalisation of the South African citrus industry and the stringent food safety health and private standards associated with the globali...This paper examined the dual institutional constraints arising from the market liberalisation of the South African citrus industry and the stringent food safety health and private standards associated with the globalisation of the agri-business industry. The aim of this paper was to explore the institutional challenges influencing the competitiveness of the South African citrus industry in the export markets. It also explored the implications of the institutional environment on market access. The logistic regression model was used to analyse the statistical data while simple ranking was used to indicate the new and emerging forces affecting the profitability of the industry in recent years. The results show that access to market information, economies of scale, compliance with strict food safety and quality standards, lack of proper infrastructure including transport and challenges of managing a business within the international business environment exerted significant effects on the competitiveness of the industry as well as the ability of domestic producers to enter the export markets. There is need for government intervention especially aligned to investing in infrastructure. Coupled with the support of private institutions, the government needs to support the exporters and producers in complying with private standards.展开更多
The article presents the development unemployment and interest rates against the average of important economic variables such as GDP dynamics, transaction prices in one of the local property markets in Poland in the y...The article presents the development unemployment and interest rates against the average of important economic variables such as GDP dynamics, transaction prices in one of the local property markets in Poland in the years 2000-2002. The strength, direction and time delay of the relationships between these variables and transaction prices have been considered during the only period of decline in property prices in the years 2000-2002. The specified relationships have been described using linear regression equations.展开更多
By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protectio...By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.展开更多
文摘[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation were made on agricultural input and output in Jiangsu during 1990-2012 as per factor analysis and regression analysis. [Result] The result of factor analysis showed that since the 1990s, the comprehensive efficiency of agricultural input/output in Jiangsu was growing and in-put/output of agriculture, forestry, animal husbandry and fishery, crop farming, and of food production were extracted, whose scores reflect the changes of input/output ef-ficiencies in terms of agriculture, forestry, animal husbandry, fishery, crop farming and food production in the two decades. The results of regression analysis indicated that the effects of the three indices on agricultural output tended to be volatile and the influence degrees were concluded also by regression parameters. [Conclusion] The research provides theoretical references for agricultural input/output structure in Jiangsu Province.
文摘Low Carbon Employment is an inevitable choice for the purpose of ＂energy-saving and emission reduction＂ and ＂promoting employment＂. By Multi-variable Linear Backward Regression method, this study presents an empirical analysis of the emplovment impact of policy variables indexes that involves economic pull, industry upgrading, population development, technical inputs and so on. The paper demonstrates that wide range offactors will affect low carbon employment, that industry upgrading will affect how carbon employment remarkably, that to increase years of people education will notably improve low carbon employment level of secondary vocational-technical labor, and that to raise technical inputs will significantly enhance college students＇ low carbon employment.
文摘This paper examined the dual institutional constraints arising from the market liberalisation of the South African citrus industry and the stringent food safety health and private standards associated with the globalisation of the agri-business industry. The aim of this paper was to explore the institutional challenges influencing the competitiveness of the South African citrus industry in the export markets. It also explored the implications of the institutional environment on market access. The logistic regression model was used to analyse the statistical data while simple ranking was used to indicate the new and emerging forces affecting the profitability of the industry in recent years. The results show that access to market information, economies of scale, compliance with strict food safety and quality standards, lack of proper infrastructure including transport and challenges of managing a business within the international business environment exerted significant effects on the competitiveness of the industry as well as the ability of domestic producers to enter the export markets. There is need for government intervention especially aligned to investing in infrastructure. Coupled with the support of private institutions, the government needs to support the exporters and producers in complying with private standards.
文摘The article presents the development unemployment and interest rates against the average of important economic variables such as GDP dynamics, transaction prices in one of the local property markets in Poland in the years 2000-2002. The strength, direction and time delay of the relationships between these variables and transaction prices have been considered during the only period of decline in property prices in the years 2000-2002. The specified relationships have been described using linear regression equations.
基金This research work was financially supported by the Shanghai Board of Education （2012-SHNGE-06ZD） , China Postdoctoral Science Foundation funded project （2013M531157） , and The Ministry of Education of Youth Fund Project of Humanities and Social Sciences Research （14YJC790152）
文摘By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.
