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Therefore, wefirst propose a theoretic indicator system and its candidate indicators

on the basis of existing literatures. See Table6.1for detail.

6.2.1.2 Selected Indicators for Econometric Models

Taking data accessibility into account, at the second stage of exploring influencing

factors through Tobit models, we couldn’t completely obey the indicator system

presented in Table6.1. There are three points about the adjustments that we should

make here. First, when applying two-stage DEA-Tobit model to estimate the

Table 6.2 Descriptions offinally selected indicators

Explanatory

variables

Descriptions Value labels

Capital University location: if the university is located in

capital city

1 = capital city;

0 = otherwise

Eastern University location: if the university is located in

eastern China

1 = eastern; 0 = otherwise

Central University location: if the university is located in

central China

1 = central; 0 = otherwise

JU University location: if the university is located in

Jing-Jin-Ji areas

1 = Jing-Jin-Ji areas;

0 = otherwise

HSZU University location: if the university is located in

Hu-Su-Zhe areas

1 = Hu-Su-Zhe areas;

0 = otherwise

PerGDPa GDP per capita (¥thousand) in the located

province

SciTechb S&T output index in the located province

HighTechb High-tech output index in the located province

211Us Number of 211Us in the located province

985Us Number of 985Us in the located province

IntExc Frequency of international exchanges

Type University type: if the university belongs to

985U

1 = 985U; 0 = otherwise

MOE University type: if the university is directly

administered by MOE

1 = MOE administration;

0 = otherwise

ARWUd University type: if the university is included in

ARWU 2012

1 = included in ARWU

2012; 0 = otherwise

FePerce % female staff

TitPerce % staff with senior title

DocPerce % staff with PhD

Notes aData sources “China Statistics Yearbook”;bdata sources:“National and Regional
Monitoring Data of Science & Technology Advances”(2006–2010);cdata sources:“University
Science & Technology Exchanges(2006–2010)”;ddata sources: Academic Ranking of World
Universities (2012);edata sources:“China Statistical Yearbook on University Science and
Technology (2006–2010)”“China Yearbook on University Social Sciences (2006–2010)”, but in
these documents, explanatory variables like FePerc, DocPerc, TitPerc, IntCoNum are all
university-level data, without consideration of NEAM or HSS disciplines

6.2 Econometric Analysis of Factors... 273