Cover of: Regional Model for Agricultural Policy Analysis in Jiangsu/China (Rural Development in Africa, Asia & Latin America) | Zhou, Shudong Read Online
Share

Regional Model for Agricultural Policy Analysis in Jiangsu/China (Rural Development in Africa, Asia & Latin America) by Zhou, Shudong

  • 265 Want to read
  • ·
  • 44 Currently reading

Published by Lit Verlag .
Written in English

Subjects:

  • Agriculture & related industries,
  • Development studies,
  • Social Science,
  • Politics / Current Events,
  • Sociology,
  • China,
  • General,
  • History / Asia,
  • Ethnic Studies - General

Book details:

The Physical Object
FormatPaperback
Number of Pages221
ID Numbers
Open LibraryOL12976991M
ISBN 103825837777
ISBN 109783825837778

Download Regional Model for Agricultural Policy Analysis in Jiangsu/China (Rural Development in Africa, Asia & Latin America)

PDF EPUB FB2 MOBI RTF

Get this from a library! Regional model for agricultural policy analysis in Jiangsu/China.. [Shudong Zhou]. Book: Regional model for agricultural policy analysis in Jiangsu/China pp pp. Abstract: After the economic reform, Chinese society and economy is in a huge transformation transformation Subject Category: MiscellaneousCited by: 2. The Jiangsu Agricultural Policy Analysis Model (JAPA model) is designed as a decision support tool for policy makers, and can also be used for academic researchers to reveal the complex internal relationships among economic : Shudong Zhou. Downloadable! The regional systemic financial risks driven by escalating urban housing prices have been of great concern recently. Based on the theoretical analyses on the mechanism of formation of regional systemic financial risk driven by urban housing price fluctuations, this paper builds panel spatial economic models to empirically analyze the relationship between urban housing price.

In order to provide decision-making support for the development and implementation of mitigation policy, our undesirable slack based measure (SBM) model is firstly applied to evaluate the industrial CO2 emission efficiency under total-factor frame (TFICEE) in 13 prefecture-level cities of Jiangsu Province, the largest CO2 emitter in China.   There are large spatial variations in agriculture and crop rotation systems in China (Frolking et al., , Qiu et al., ).In this study we focused on 13 provincial-level administrative units (12 provinces plus Shanghai) in southern China (), which represent over million km 2 of land area ().Two-crop rotation systems are dominant across southern China, because of a long warm season . Jiangsu,as a big agricultural province,requires accelerating innovations in the reform of agricultural management and mechanism,building new agricultural management system,and advancing transformation ways of agricultural development in agriculture paper selects a set of evaluation indexes and uses the factor analysis to build an evaluation model for regional new agricultural.   1. Introduction. Heavy metals in sediments might cause serious and widespread environmental problem due to the toxic, persistent, nonbiodegradable and bioaccumulative properties (Dudka and Miller, , Govind and Madhuri, ).It was regarded as the main limiting factors to a healthy sedimentary environment (Duruibe et al., ).The spatial distribution of metals in sediments .

  China’s growth in agricultural production, rising living standards, and evolving agricultural policies make it one of the most dynamic participants in global agricultural markets. ERS provides research, analysis, and information on China's agricultural policy, outlook, and trade. Interest in the analysis of agricultural policy is a relatively recent phenomenon. Before the mids, industrialization was seen as the key to economic development in most developing countries.   Belonging to the Bunyavirus category, China isolated the pathogen of the virus first in First identified in China, the virus has also been reported in Japan and Korea. Beijing: A new tick-borne virus has killed seven and infected 60 others, Chinese media reported, warning about the imminent. Based on TM satellite images in different years (, , and ), urban land-use change maps were created and analyzed in Taicang County of Jiangsu Province, then a weighed Markov model was established based on the driving force of urban land-use change to predict the urban landscape structure (agricultural land, constructive land.