The Evaluation for Ecological Environment and Regional Economy Coordination Development of China

2013 ◽  
Vol 448-453 ◽  
pp. 4434-4440
Author(s):  
Zhen Hua Zhang ◽  
Yao Ding ◽  
Lei Liang

This paper used the Factor analysis and the Coordination measurement method to calculate and compare the year of 2011 provincial cross-section data of Chinas regional economy and ecological environment, thinks that the ecological environment and the coordinated development of regional economy in our country is still in the initial stage at present. The development of every region throughout the country exist differences. At last, some related suggestions about the ecological environment and the coordinated development of regional economic were put forward.

Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty

1986 ◽  
Vol 94 (1-4) ◽  
pp. 49-52 ◽  
Author(s):  
R. C. Hertzog ◽  
P. D. Soran ◽  
J. S. Schweitzer

2010 ◽  
Vol 68 (9) ◽  
pp. 1656-1661 ◽  
Author(s):  
M.S. Uddin ◽  
M.R. Zaman ◽  
S.M. Hossain ◽  
I. Spahn ◽  
S. Sudár ◽  
...  

ILR Review ◽  
1983 ◽  
Vol 36 (2) ◽  
pp. 199-213 ◽  
Author(s):  
Ronald G. Ehrenberg ◽  
Daniel R. Sherman ◽  
Joshua L. Schwarz

This paper develops and illustrates the use of two methodologies to analyze the effect of unions on productivity in the public sector. Although the methodologies are applicable to a wide variety of public sector functions, the focus of the paper is on municipal libraries because of the availability of relevant data. The empirical analysis, which uses 1977 cross-section data on 260 libraries, suggests that collective bargaining coverage has not significantly affected productivity in municipal libraries.


2012 ◽  
Vol 7 (2) ◽  
pp. 203-222 ◽  
Author(s):  
Michael Beenstock ◽  
Dan Feldman ◽  
Daniel Felsenstein

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.


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