published_or_final_version / Environmental Management / Master / Master of Science in Environmental Management

published_or_final_version / Urban Planning / Master / Master of Science in Urban Planning

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / abstract / toc / China Area Studies / Master / Master of Arts

published_or_final_version / abstract / Geography / Master / Master of Philosophy

An important process of economic reform in China has been to promote the inflow of foreign direct investment (FDI). After more than thirty years of economic reform, China has become one of the most important destinations for cross-border direct investment. Since Taiwan has become one of the major source countries of FDI in China, Taiwanese investment has experienced changes in spatial patterns and industrial composition since the 1990s. As a result of active government promotion through various policy measures, FDI in China has grown rapidly since 1978, especially in the 1990s. Taiwanese authorities released the investment strategy, “Be patient, No hurry”in 2001, and since then China has become the biggest target of Taiwanese investment outside of Taiwan; money from Taiwan forms a significant portion of foreign capital in China. Due to coastal and other geographical advantages of the three major economic regions possessing good investment environments (that is, the Pearl River Delta, Yangtze River Delta (YRD) and Bohai Bay economic region), the landscape of Taiwanese direct investment (TDI) in recent years has been moving Northward and Westward significantly. Initially, the Taiwanese investment in labor-intensive industries mainly concentrated in southern China, including Guangdong and Fujian, because of the cheap labor and geographic proximity. Since the mid-1990s, the industries of Yangtze Rive Delta region has become a new investment hotspot for Taiwanese enterprises while their industrial nature is changing to be more technology-intensive and domestic market-oriented.

This paper researches the relationships between sub-center cities, satellite cities and core cities in Jingjinji Area, Huninghang Area and Pearl River Delta. It also covers the connections between Chinese housing market and stock market. It uses an unique dataset called China Real Estate Index System (CREIS) to measure the Chinese housing prices. Through correlations, Granger causality tests and regression models, this paper concludes there are indeed connections for the movements in housing prices in the surrounding cities relative to Beijing, Shanghai and Shenzhen in the three city groups, and there is no sufficient evidence to show the existence of the connection between Chinese housing market and stock market.

馮樂新. / 論文(碩士) -- 香港中文大學硏究院地理學部, 1995. / 參考文獻: leaves 124-151. / Feng Lexin. / 謝辭 --- p.i / 論文摘要 --- p.ii / Chapter 第一章 --- 緖論 --- p.1 / Chapter 1.1 --- 硏究背景 --- p.1 / Chapter 1.2 --- 硏究目的 --- p.3 / Chapter 1.3 --- 硏究範圍 --- p.4 / Chapter 1.4 --- 硏究方法 --- p.9 / Chapter 1.5 --- 論文結構 --- p.12 / Chapter 第二章 --- 文獻及理論回顧 --- p.15 / Chapter 2.1 --- 工業地理與工業聯繫 --- p.15 / Chapter 2.2 --- 分判制度的歷史回顧 --- p.16 / Chapter 2.3 --- 分判制度的性質、類別及產生原因 --- p.20 / Chapter 2.4 --- 有關來料加工工業的硏究 --- p.30 / Chapter 第三章 --- 珠江三角洲東部來料加工工業的發展 --- p.34 / Chapter 3.1 --- 發展原因 --- p.34 / Chapter 3.2 --- 發展歷程 --- p.36 / Chapter 3.3 --- 發展特點 --- p.42 / Chapter 3.4 --- 來料加工的成效 --- p.44 / Chapter 第四章 --- 來料加工企業形態與特徵 --- p.51 / Chapter 4.1 --- 組織結構 --- p.51 / Chapter 4.2 --- 勞動過程 --- p.56 / Chapter 4.3 --- 物資聯繫與市場 --- p.66 / Chapter 4.4 --- 分判狀況 --- p.69 / Chapter 4.5 --- 遭遇困難 --- p.73 / Chapter 第五章 --- 以來料加工作爲珠江三角洲小鎭的 工業化策略一一坪地鎭的個案硏究 --- p.81 / Chapter 5.1 --- 坪地鎭背景綜述 --- p.81 / Chapter 5.2 --- 坪地鎭來料加工企業特徵 --- p.86 / Chapter 5.3 --- 坪地鎭三資工業企業特徵 --- p.100 / Chapter 5.4 --- 坪地鎭來料加工企業所遇問題及發展前景 --- p.105 / Chapter 第六章 --- 總結 --- p.112 / Chapter 6.1 --- 硏究結果總結 --- p.112 / Chapter 6.2 --- 珠江三角洲東部來料加工工業發展前景 --- p.115 / Chapter 6.3 --- 硏究啓示 --- p.118 / 參考文獻 --- p.124 / Chapter (A) --- 中文部份 --- p.124 / Chapter (B) --- 英文部份 --- p.133 / 附錄一問卷樣本 --- p.152 / 附錄二 來料加工工業企業各項特徵變項之相關値 --- p.158 / 附錄三 受訪者名單 --- p.159 / 附錄四 來加工企業個案舉例 --- p.160 / 附錄五 坪地鎭相片 --- p.165

First, the field survey campaigns have been carried out from March 22, 2007 to December 27, 2007 around 5-15 days in the interval in the study area of Nansha Island. The field work includes the survey of spatial distribution of various land use and crop types and the ground measurements of the crop biophysical parameters (such as the plant height, leave area index, fresh biomass, and plant water content) and the soil parameters (such as the soil water content and surface roughness parameters) of rice field and sugarcane field. And at the same time, the ENVISAT ASAR data were acquired from March 22, 2007 to December 27, 2007 in the interval of 35 days. During the acquisition dates of the ENVISAT ASAR data, the field surveys were also conducted. / Fourth, the sufficient ground measurements and simultaneous C-band HH- and VV-polarized SAR data of sugarcane crop have enriched the knowledge of understanding the temporal radar scatter mechanisms in sugarcane canopies. The C-band VV-polarized radar backscatters are larger than those of HH-polarization during the sugarcane growth cycle, and the difference is around 0.5 dB to 2 dB. The theoretical model MIMICS was adapted in modeling the scattering terms in sugarcane fields to interpret the temporal behavior of radar backscatters. For more robotic operation, the empirical regression models were used in estimation of the sugarcane LAI and fresh biomass, and mapping the sugarcane growth situation. The accuracies of the sugarcane LAI map and Biomass map are 0.74 and 0.70, respectively. / In conclusion, the C-band ENVISAT ASAR data can be efficiently used in the Pearl River Delta to monitor the crop growth, including the crop spatial distribution, crop acreages, and crop growth situation evaluation. The efficient crop growth monitoring program can not only help instruct the flexible farming actions, but also estimate the crop yield production for the decision-making government. (Abstract shortened by UMI.) / Second, field surveys were combined with the ENVISAT ASAR data to map the agricultural area. The analysis of the temporal radar backscatter characteristics of various land cover categories demonstrated that the time series of C-band SAR data is efficient in separating the eight land cover categories (rice paddy, sugarcane, banana, lotus ponds, mangrove wetlands, fish ponds, seawater, and buildings) in the PRD. The decision tree classifier is also approved to work efficiently on satellite SAR images with an overall accuracy of 77% and the Kappa coefficient of 0.74. The acreages of the land cover categories were also derived from the classification result with accuracies from 70% to 90%. / The Pearl River Delta is a typical developing region. It lies in the cloud-prone and rainy area of south China with multi-species of crops cultured in the agriculture areas. With a goal of developing an efficient, timely and accurate crop growth monitoring program in this area, field measurement, satellite SAR remote sensing technique, quantitative analysis of the crop biophysical parameters, and radar backscatter modeling methods have been integrated to study the multi-temporal and multi-polarized SAR data in estimating plant parameters (LAI, fresh biomass) of rice and sugarcane crop, and mapping the agricultural land cover categories of the study area in the PRD. / Third, in the study of rice growth monitoring, the trends of the relationships between C-band radar backscattering coefficients and rice parameters (plant height, LAI, fresh biomass, et al.) are proved to be constant with the reports in previous literatures. It was demonstrated that the differences between HH- and VV-polarized backscatter are not so evident (around 0.5 dB) in rice paddy canopies during the crop growth cycle. Moreover, by inducting a semi-empirical soil surface scattering component, a modified Water Cloud Model was developed to simulate the radar backscatter in rice crop canopies in different ground background situations (water surface, and soil surface) and to estimate the rice LAI and above ground fresh Biomass with reasonable accuracy. The rice growth conditions were displayed by LAI map and Biomass map generated from the model estimation, and the accuracies of the LAI and Biomass level classification are 0.77 and 0.71. / Wang, Dan. / Advisers: Hui Lin; Jin-Song Chen. / Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves 132-138). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

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