Can land urbanization help to achieve CO2 intensity reduction target or hinder it? Evidence from China

被引：62

作者：

Dong, Feng ^{[1
]}

Bian, Zhengfu ^{[1
]}

Yu, Bolin ^{[1
]}

Wang, Yue ^{[1
]}

Zhang, Shengnan ^{[1
]}

Li, Jingyun ^{[1
]}

Su, Bin ^{[2
]}

Long, Ruyin ^{[1
]}

机构：

[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China

[2] Natl Univ Singapore, Energy Studies Inst, Singapore 119620, Singapore

来源：

RESOURCES CONSERVATION AND RECYCLING | 2018年 / 134卷

基金：

中国国家自然科学基金;

关键词：

Land urbanization; CO2; intensity; Reduction target; IV-FE model; CARBON-DIOXIDE EMISSIONS; GREENHOUSE-GAS EMISSIONS; PANEL-DATA; ENERGY-CONSUMPTION; EMPIRICAL-ANALYSIS; ECONOMIC-GROWTH; URBAN FORM; IMPACT FACTORS; GHG EMISSIONS; EFFICIENCY;

D O I：

10.1016/j.resconrec.2018.02.009

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Since China's new government took office in 2013, China proposed the developing concept of New-type Urbanization (NU). In addition, China is trying its best to achieve the targets of carbon emission intensity (CEI) reduction committed in Copenhagen and Paris Accords. It is an important issue of how to collaborate Urbanization development and CEI reduction targets. This study employs the indicator of land urbanization (LU) to investigate the relationship between CEI and Urbanization. The main results are as follows: (1) all models specify that there is an inverse U-shaped curve relationship between CEI and LU; (2) according to Instrumental Variable-Fixed Effects Model (IV-FE), all provinces are within the rising phrase of LU-CEI Environmental Kuznets Curve; (3) panel Granger causality tests reveal that there are bidirectional causalities between CEI and LU, CEI and population urbanization (PU), LU and PU. Our results not only help advance the existing literature, but also could be of special interest to urban planners and policy makers.

引用

页码：206 / 215

页数：10

共 83 条

[1] Urban form, energy and the environment: A review of issues, evidence and policy [J].

Anderson, WP ;

Kanaroglou, PS ;

Miller, EJ .

URBAN STUDIES, 1996, 33 (01) :7-35

[2]

[Anonymous], 2010, City Planning Review

[3]

[Anonymous], STAT RES, DOI DOI 10.3969/J.ISSN.1002-4565.2006.01.013

[4] SOME TESTS OF SPECIFICATION FOR PANEL DATA - MONTE-CARLO EVIDENCE AND AN APPLICATION TO EMPLOYMENT EQUATIONS [J].

ARELLANO, M ;

BOND, S .

REVIEW OF ECONOMIC STUDIES, 1991, 58 (02) :277-297

[5] Urban Form, Air Pollution, and CO2 Emissions in Large U.S. Metropolitan Areas [J].

Bereitschaft, Bradley ;

Debbage, Keith .

PROFESSIONAL GEOGRAPHER, 2013, 65 (04) :612-635

[6] Initial conditions and moment restrictions in dynamic panel data models [J].

Blundell, R ;

Bond, S .

JOURNAL OF ECONOMETRICS, 1998, 87 (01) :115-143

[7] CO2 emissions and urbanization correlation in China based on threshold analysis [J].

Cao Zi ;

Wei Jie ;

Chen Hong-Bo .

ECOLOGICAL INDICATORS, 2016, 61 :193-201

[8] Spatiotemporal dynamics of carbon intensity from energy consumption in China [J].

Cheng Yeqing ;

Wang Zheye ;

Ye Xinyue ;

Wei, Yehua Dennis .

JOURNAL OF GEOGRAPHICAL SCIENCES, 2014, 24 (04) :631-650

[9] The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach [J].

Chikaraishi, Makoto ;

Fujiwara, Akimasa ;

Kaneko, Shinji ;

Poumanyvong, Phetkeo ;

Komatsu, Satoru ;

Kalugin, Andrey .

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2015, 90 :302-317

[10] Validation of modeled carbon-dioxide emissions from an urban neighborhood with direct eddy-covariance measurements [J].

Christen, A. ;

Coops, N. C. ;

Crawford, B. R. ;

Kellett, R. ;

Liss, K. N. ;

Olchovski, I. ;

Tooke, T. R. ;

van der Laan, M. ;

Voogt, J. A. .

ATMOSPHERIC ENVIRONMENT, 2011, 45 (33) :6057-6069

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