Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 313

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

The effects of urban agglomeration economies on carbon emissions: Evidence from Chinese cities

Open access
Han, Feng, Xie, Rui, lu, Yue, Fang, Jiayu, Liu, Yu·2018·Journal of Cleaner Production
DOI 10.1016/j.jclepro.2017.09.273
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2017.09.273

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 39 references

Research works printed but not linked: 29

  1. Ang, 2009, CO2 emissions, research and technology transfer in China, Ecol. Econ., 68, 2658, 10.1016/j.ecolecon.2009.05.002 · doi:10.1016/j.ecolecon.2009.05.002
  2. Capello, 2000, Beyond optimal city size: an evaluation of alternative urban growth patterns, Urban Stud., 37, 1479, 10.1080/00420980020080221 · doi:10.1080/00420980020080221
  3. Chen, 2008, Sustainable urban form for Chinese compact cities: challenges of a rapid urbanized economy, Habitat Int., 32, 28, 10.1016/j.habitatint.2007.06.005 · doi:10.1016/j.habitatint.2007.06.005
  4. Chuai, 2012, Spatial econometric analysis of carbon emissions from energy consumption in China, J. Geogr. Sci., 22, 630, 10.1007/s11442-012-0952-z · doi:10.1007/s11442-012-0952-z
  5. Cingano, 2004, Identifying the sources of local productivity growth, J. Eur. Econ. Assoc., 2, 720, 10.1162/1542476041423322 · doi:10.1162/1542476041423322
  6. Dietz, 1994, Rethinking the environmental impacts of population, affluence, and technology, Hum. Ecol. Rev., 1, 277
  7. Enrenfeld, 2003, Putting the spotlight on metaphors and analogies in industrial ecology, J. Ind. Ecol., 7, 1, 10.1162/108819803766729131 · doi:10.1162/108819803766729131
  8. Fan, 2014, Industrial agglomeration and total factor productivity of enterprises, J. World Econ., 5, 51
  9. Fu, 2014, The selection of technology progress path of manufacturing structure optimization—an empirical analysis based on dynamic panel data model, China Ind. Econ., 9, 78
  10. Han, 2014, Spatial agglomeration effects of China’s cities and industrial energy efficiency, China Popul. Resour. Environ., 24, 72
  11. Han, 2016, The effects of factor proximity and market potential on urban manufacturing output, China Econ. Rev., 39, 31, 10.1016/j.chieco.2016.04.002 · doi:10.1016/j.chieco.2016.04.002
  12. Hou, 2014, A study on the growth effect and affecting path of China’s economic structure, J. World Econ., 5, 88
  13. Jircikova, 2013, The age of clusters and its influence on their activity preferences, Technol. Econ. Dev. Eco, 19, 621, 10.3846/20294913.2013.837115 · doi:10.3846/20294913.2013.837115
  14. Ke, 2010, Agglomeration, productivity, and spatial spillovers across Chinese cities, Ann. Reg. Sci., 45, 157, 10.1007/s00168-008-0285-0 · doi:10.1007/s00168-008-0285-0
  15. Liang, 2015, Source of China’s economic growth: an analysis based on nonparametric accounting methods, J. World Econ., 11, 29
  16. Li, 2013, Trends in road freight transportation carbon dioxide emissions and policies in China, Energy Policy, 57, 99, 10.1016/j.enpol.2012.12.070 · doi:10.1016/j.enpol.2012.12.070
  17. Lin, 2011, Agglomeration and productivity: firm-level evidence from China’s textile industry, China Econ. Rev., 22, 313, 10.1016/j.chieco.2011.03.003 · doi:10.1016/j.chieco.2011.03.003
  18. Mads, 2013, Cluster facilitation from a cluster life cycle perspective, Eur. Plan. Stud., 21, 556, 10.1080/09654313.2012.722953 · doi:10.1080/09654313.2012.722953
  19. Nie, 2012, The use status and potential problems of the Annual Survey of Industrial Firms (ASIF) dataset, J. World Econ., 5, 142
  20. Otsuka, 2014, Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries, Reg. Sci. Policy Pract., 6, 195, 10.1111/rsp3.12039 · doi:10.1111/rsp3.12039
  21. Qin, 2015, Does urban concentration mitigate CO2 emissions? Evidence from China 1998-2008, China Econ. Rev., 35, 220, 10.1016/j.chieco.2014.02.006 · doi:10.1016/j.chieco.2014.02.006
  22. Shahbaz, 2016, FDI, growth and CO2 emissions relationship: evidence from high, middle and low income countries, B. Energy Econ., 4, 54
  23. Shao, 2016, China’s economic policy choices for governing smog pollution based on spatial spillover effects, Econ. Res. J., 9, 73
  24. Shi, 2013, The government intervention, the economic agglomeration and the energy efficiency, Manag. World, 10, 6
  25. Thabet, 2015, Industrial structure and total factor productivity: the Tunisian manufacturing sector between 1998 and 2004, Ann. Reg. Sci., 54, 639, 10.1007/s00168-015-0670-4 · doi:10.1007/s00168-015-0670-4
  26. Yu, 2015, Economic growth effects of industrial restructuring and productivity improvement–Analysis of dynamic spatial panel model with Chinese city data, China Ind. Econ., 12, 83
  27. Zeng, 2008, Regulation on trans-boundary water pollution: a study on inter-judiciary river-basin pollution in China, China Econ. Q., 7, 447
  28. Zhang, 2016, Strategic interaction of regional environmental regulation–An explanation on the universality of incomplete enforcement of environmental regulation, China Ind. Econ., 7, 74
  29. Zhou, 2016, Mechanism of carbon intensity reduction and optimization design of its industrial allocation, J. World Econ., 7, 168

Cited by

See all 313

Metadata

Authors
Han, F., Xie, R., lu, Y., Fang, J., & Liu, Y.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2018-01
Volume
172
Pages
1096-1110
ISSN
0959-6526 (ISSN-L)
DOI
10.1016/j.jclepro.2017.09.273
OpenAlex
W2760700074
Cited by
313
References
39
FWCI
23.44
Type
journal article
Language
en
Open access
bronze
Licence
Funders
  • National Science Foundation of China (71303076, 71603124, 71673083, 71420107027, 71473242)
  • Natural Science Fund Project of Jiangsu (BK20161054)
  • National Key Research and Development Program of China (2016YFA0602500)
  • Major Consulting Program of Institutes of Science and Development of Chinese Academy of Sciences (Y02015003)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The effects of urban agglomeration economies on carbon emissions: Evidence from Chinese cities. https://app.cochat.ai/papers/10.1016/j.jclepro.2017.09.273
The paper
Han, F., Xie, R., lu, Y., Fang, J., & Liu, Y. (2018). The effects of urban agglomeration economies on carbon emissions: Evidence from Chinese cities. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2017.09.273

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.