To overcome the deficiency of traditional mathematical statistics methods,an adaptive Lasso grey model algorithm for regional FDI(foreign direct investment)prediction is proposed in this paper,and its validity is anal...To overcome the deficiency of traditional mathematical statistics methods,an adaptive Lasso grey model algorithm for regional FDI(foreign direct investment)prediction is proposed in this paper,and its validity is analyzed.Firstly,the characteristics of the FDI data in six provinces of Central China are generalized,and the mixture model’s constituent variables of the Lasso grey problem as well as the grey model are defined.Next,based on the influencing factors of regional FDI statistics(mean values of regional FDI and median values of regional FDI),an adaptive Lasso grey model algorithm for regional FDI was established.Then,an application test in Central China is taken as a case study to illustrate the feasibility of the adaptive Lasso grey model algorithm in regional FDI prediction.We also select RMSE(root mean square error)and MAE(mean absolute error)to demonstrate the convergence and the validity of the algorithm.Finally,we train this proposedal gorithm according to the regional FDI statistical data in six provinces in Central China from 2006 to 2018.We then use it to predict the regional FDI statistical data from 2019 to 2023 and show its changing tendency.The extended work for the adaptive Lasso grey model algorithm and its procedure to other regional economic fields is also discussed.展开更多
This paper investigates the regional and industrial effects of FDI on Chinese manufacturing sector since China entered WTO. We find that FDI plays a different role in the development of different areas and industries ...This paper investigates the regional and industrial effects of FDI on Chinese manufacturing sector since China entered WTO. We find that FDI plays a different role in the development of different areas and industries through a comparison with state-controlled industrial enterprises in China. More establishments of smaller foreign funded enterprises and less foreign capital with a high level of management should promote the competition to stimulate manufacturing growth in eastern area, while fewer establishments of foreign funded enterprises with a large capital should make a great stimulus to the western manufacturing development. Both foreign capital and the establishment of foreign industrial enterprises have a great effect on the whole manufacturing sector by industry.展开更多
Ｓince the late 1970s the coastal areas of east Chinahave markedly outstripped central and west Chinain the rate of economic growth. Scarcity of inboundforeign capital in the central and west regions is a majorreason ...Ｓince the late 1970s the coastal areas of east Chinahave markedly outstripped central and west Chinain the rate of economic growth. Scarcity of inboundforeign capital in the central and west regions is a majorreason behind this situation. Two factors will affectchanges in the utilization of foreign capital in centraland west China in the coming decade:first, the efforts of展开更多
基金This work was supported in part by the National Key R&D Program of China(No.2019YFE0122600),author H.H,https://service.most.gov.cn/in part by the Project of Centre for Innovation Research in Social Governance of Changsha University of Science and Technology(No.2017ZXB07),author J.H,https://www.csust.edu.cn/mksxy/yjjd/shzlcxyjzx.htm+2 种基金in part by the Public Relations Project of Philosophy and Social Science Research Project of the Ministry of Education(No.17JZD022),author J.L,http://www.moe.gov.cn/in part by the Key Scientific Research Projects of Hunan Provincial Department of Education(No.19A015),author J.L,http://jyt.hunan.gov.cn/in part by the Hunan 13th five-year Education Planning Project(No.XJK19CGD011),author J.H,http://ghkt.hntky.com/.
文摘To overcome the deficiency of traditional mathematical statistics methods,an adaptive Lasso grey model algorithm for regional FDI(foreign direct investment)prediction is proposed in this paper,and its validity is analyzed.Firstly,the characteristics of the FDI data in six provinces of Central China are generalized,and the mixture model’s constituent variables of the Lasso grey problem as well as the grey model are defined.Next,based on the influencing factors of regional FDI statistics(mean values of regional FDI and median values of regional FDI),an adaptive Lasso grey model algorithm for regional FDI was established.Then,an application test in Central China is taken as a case study to illustrate the feasibility of the adaptive Lasso grey model algorithm in regional FDI prediction.We also select RMSE(root mean square error)and MAE(mean absolute error)to demonstrate the convergence and the validity of the algorithm.Finally,we train this proposedal gorithm according to the regional FDI statistical data in six provinces in Central China from 2006 to 2018.We then use it to predict the regional FDI statistical data from 2019 to 2023 and show its changing tendency.The extended work for the adaptive Lasso grey model algorithm and its procedure to other regional economic fields is also discussed.
文摘This paper investigates the regional and industrial effects of FDI on Chinese manufacturing sector since China entered WTO. We find that FDI plays a different role in the development of different areas and industries through a comparison with state-controlled industrial enterprises in China. More establishments of smaller foreign funded enterprises and less foreign capital with a high level of management should promote the competition to stimulate manufacturing growth in eastern area, while fewer establishments of foreign funded enterprises with a large capital should make a great stimulus to the western manufacturing development. Both foreign capital and the establishment of foreign industrial enterprises have a great effect on the whole manufacturing sector by industry.
文摘Ｓince the late 1970s the coastal areas of east Chinahave markedly outstripped central and west Chinain the rate of economic growth. Scarcity of inboundforeign capital in the central and west regions is a majorreason behind this situation. Two factors will affectchanges in the utilization of foreign capital in centraland west China in the coming decade:first, the efforts of
