The DOI matches its Crossref record; 88 of the 90 references it cites were found in a registry or an index.
Share green growth: Regional evaluation of green output performance in China
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, the eastern region will hardly be affected by strict carbon control policies, while the central and western regions will be greatly affected”
From The impact of fintech innovation on green growth in China: Mediating effect of green finance (2022) · cites this paper as Song et al., 2020
In the citing paper
“Empirical studies based on Chinese provincial data suggest that China's pursuit of green growth will result in a loss of 7% to 8% of GDP.”
From The impact of fintech innovation on green growth in China: Mediating effect of green finance (2022) · cites this paper as Song et al., 2020
Citations
Cites
A slacks-based measure of efficiency in data envelopment analysis
Tone, K. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(99)00407-5 · Cited by 5,803
A slacks-based measure of super-efficiency in data envelopment analysis
Tone, K. (2002) · European Journal of Operational Research · doi:10.1016/s0377-2217(01)00324-1 · Cited by 3,576
Our common future: report of the World Commission on Environment and Development
Cassen, R. H. (1987) · International Affairs · doi:10.2307/2621529 · Cited by 3,265
Productivity and Undesirable Outputs: A Directional Distance Function Approach
Chung, Y., Färe, R. G., & Grosskopf, S. (1997) · Journal of Environmental Management · doi:10.1006/jema.1997.0146 · Cited by 2,983
Global non-linear effect of temperature on economic production
Burke, M., Hsiang, S. M., & Miguel, E. (2015) · Nature · doi:10.1038/nature15725 · Cited by 2,913
The Coefficient of Resource Utilization
Debreu, G. (1951) · Econometrica · doi:10.2307/1906814 · Cited by 2,339
Cooper, W. W., Seiford, L. M., & Tone, K. (2007) · doi:10.1007/978-0-387-45283-8 · Cited by 2,061
Shephard, R. W. (1981) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-642-51578-1 · Cited by 1,908
Sarrico, C. S. (2001) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2601257 · Cited by 1,730
Multi-Output Production and Duality: Theory and Applications
Färe, R. G., & Primont, D. (1995) · Springer eBooks · doi:10.1007/978-94-011-0651-1 · Cited by 1,309
A global Malmquist-Luenberger productivity index
Oh, D. (2010) · Journal of Productivity Analysis · doi:10.1007/s11123-010-0178-y · Cited by 1,160
Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm
van Vuuren, D. P., Stehfest, E., Gernaat, D., Doelman, J., van den Berg, M., Harmsen, M. J. H. M., de Boer, H. S., Bouwman, L., Daioglou, V., Edelenbosch, O. Y., et al. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.008 · Cited by 909
A directional slacks-based measure of technical inefficiency
Fukuyama, H., & Weber, W. (2009) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2008.12.001 · Cited by 855
Chinese CO2 emission flows have reversed since the global financial crisis
Mi, Z., Meng, J., Guan, D., Shan, Y., Song, M., Wei, Y., Liu, Z., & Hubacek, K. (2017) · Nature Communications · doi:10.1038/s41467-017-01820-w · Cited by 846
Self-citationEnvironmental production functions and environmental directional distance functions
Färe, R. G., Grosskopf, S., & Pasurka, C. A. (2006) · Energy · doi:10.1016/j.energy.2006.09.005 · Cited by 810
A global Malmquist productivity index
Pastor, J. T., & Lovell, C. A. K. (2005) · Economics Letters · doi:10.1016/j.econlet.2005.02.013 · Cited by 774
Total factor carbon emission performance: A Malmquist index analysis
Zhou, P., Ang, B. W., & Han, J. (2009) · Energy Economics · doi:10.1016/j.eneco.2009.10.003 · Cited by 759
Matching to remove bias in observational studies
Rubin, D. B. (1973) · Biometrics · doi:10.2307/2529684 · Cited by 737
The impact of sea level rise on developing countries: a comparative analysis
Dasgupta, S., Laplante, B., Meisner, C., Wheeler, D. R., & Yan, J. (2008) · Climatic Change · doi:10.1007/s10584-008-9499-5 · Cited by 734
Community Structure and Collaborative Consumption: A Routine Activity Approach
Felson, M., & Spaeth, J. L. (1978) · American Behavioral Scientist · doi:10.1177/000276427802100411 · Cited by 619
Matching to Remove Bias in Observational Studies
Rubin, D. B. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810725.007 · Cited by 600
Dealing with Undesirable Outputs in DEA: A Slacks-based Measure (SBM) Approach
Tone, K. (2003) · Institutional Repositories DataBase (IRDB) · doi:10.24545/00000955 · Cited by 579
Measuring Eco‐efficiency of Production with Data Envelopment Analysis
Kuosmanen, T., & Kortelainen, M. (2005) · Journal of Industrial Ecology · doi:10.1162/108819805775247846 · Cited by 559
New Directions:Efficiency and Productivity
Färe, R. G., Grosskopf, S., & Fukuyama, H. (2005) · Kluwer Academic Publishers eBooks · doi:10.1007/0-387-27594-0 · Cited by 505
Measuring ecological efficiency with data envelopment analysis (DEA)
Dyckhoff, H., & Allen, K. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(00)00154-5 · Cited by 488
Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries
Lovell, C. A. K., Pastor, J. T., & Turner, J. A. (1995) · European Journal of Operational Research · doi:10.1016/0377-2217(95)00226-x · Cited by 455
Masi, D., Kumar, P. V., Garza‐Reyes, J. A., & Godsell, J. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1449246 · Cited by 410
Environmental efficiency evaluation based on data envelopment analysis: A review
Song, M., An, Q., Zhang, W. D., Wang, Z., & Wu, J. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.04.052 · Cited by 392
Self-citationImpact of fiscal decentralization on green total factor productivity
Song, M., Du, J., & Tan, K. H. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.09.019 · Cited by 330
Self-citationInnovation and diffusion of clean/green technology: Can patent commons help?
Hall, B. H., & Helmers, C. (2013) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2012.12.008 · Cited by 273
Wang, P., Dai, H., Ren, S., Zhao, D., & Masui, T. (2014) · Energy · doi:10.1016/j.energy.2014.11.009 · Cited by 259
Oh, D., & Heshmati, A. (2010) · Energy Economics · doi:10.1016/j.eneco.2010.09.003 · Cited by 232
Key policy considerations for facilitating low carbon technology transfer to developing countries
Ockwell, D. G., Watson, J., MacKerron, G., Pal, P., & Yamin, F. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.06.019 · Cited by 229
Ramanathan, R. (2006) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2005.06.012 · Cited by 218
Understanding the CDM's contribution to technology transfer
Schneider, M., Holzer, A., & Hoffmann, V. H. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.04.009 · Cited by 217
Ji, P., Ma, X., & Li, G. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.10.009 · Cited by 214
Lozano, S., & Gutiérrez, E. (2007) · Ecological Economics · doi:10.1016/j.ecolecon.2007.11.003 · Cited by 206
Zhang, N., Wang, B., & Liu, Z. (2016) · Energy · doi:10.1016/j.energy.2016.01.012 · Cited by 188
Zhang, Y., Sun, Y.-F., & Huang, J. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.12.056 · Cited by 188
From Growth to Green Growth - a Framework
Stéphane Hallegatte, A., Heal, G., Fay, M., & Tréguer, D. (2012) · National Bureau of Economic Research · doi:10.3386/w17841 · Cited by 181
Ockwell, D., Haum, R., Mallett, A., & Watson, J. (2010) · Global Environmental Change · doi:10.1016/j.gloenvcha.2010.04.009 · Cited by 171
Technology transfer by CDM projects
Haites, E. F., Duan, M., & Seres, S. (2006) · Climate Policy · doi:10.1080/14693062.2006.9685605 · Cited by 169
Dubey, R., Gunasekaran, A., Childe, S. J., Luo, Z., Wamba, S. F., Roubaud, D., & Foropon, C. R. H. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.06.097 · Cited by 169
Hafezi, M., & Zolfagharinia, H. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.08.012 · Cited by 158
Carbon emissions in a multi-echelon production-inventory model with lead time constraints
Hammami, R., Nouira, I., & Frein, Y. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.017 · Cited by 150
From Growth to Green Growth-A Framework
Heal, G., Stéphane Hallegatte, A., Tréguer, D., & Fay, M. (2011) · doi:10.1596/1813-9450-5872 · Cited by 141
Efficiency Evaluations Based on Potential (Non-Proportional) Improvements
Bogetoft, P., & Hougaard, J. L. (1999) · Journal of Productivity Analysis · doi:10.1023/a:1007848222681 · Cited by 137
Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models
Xue, M., & Harker, P. T. (2002) · Management Science · doi:10.1287/mnsc.48.5.705.7805 · Cited by 137
Färe, R. G., Grosskopf, S., & Whittaker, G. (2013) · Journal of Productivity Analysis · doi:10.1007/s11123-012-0333-8 · Cited by 137
Environmental efficiency and energy consumption of highway transportation systems in China
Song, M., Zheng, W., & Wang, Z. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.09.030 · Cited by 129
Self-citationGreen growth, degrowth, and the commons
Jakob, M., & Edenhofer, O. (2014) · Oxford Review of Economic Policy · doi:10.1093/oxrep/gru026 · Cited by 122
Sustainable Fashion Supply Chain Management: A System of Systems Analysis
Choi, T., Cai, Y., & Shen, B. (2018) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2018.2857831 · Cited by 103
Urban, F. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.11.007 · Cited by 99
Green supply management and performance: a resource-based view
Yu, W., Chávez, R., & Feng, M. (2017) · Production Planning & Control · doi:10.1080/09537287.2017.1309708 · Cited by 80
Lema, A., & Lema, R. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.10.019 · Cited by 78
Aggregate green productivity growth in OECD’s countries
Shen, Z., Boussemart, J., & Leleu, H. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.04.007 · Cited by 75
Zhang, Y., & Chen, M.-Y. (2017) · European Journal of Operational Research · doi:10.1016/j.ejor.2017.08.008 · Cited by 74
What role for climate negotiations on technology transfer?
Glachant, M., & Dechezleprêtre, A. (2016) · Climate Policy · doi:10.1080/14693062.2016.1222257 · Cited by 71
From green buildings to green supply chains
Ghani, N. M. A. M. A., Eğilmez, G., Küçükvar, M., & Bhutta, M. K. S. (2017) · Management of Environmental Quality An International Journal · doi:10.1108/meq-12-2015-0211 · Cited by 68
A Micro-Econometric Analysis of the Industrial Demand for Energy in NSW
Woodland, A. D. (1993) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol14-no2-4 · Cited by 67
Song, M., & Wang, J. (2018) · Energy · doi:10.1016/j.energy.2018.07.158 · Cited by 66
Self-citationCOST CONCEPTS FOR CLIMATE CHANGE MITIGATION
Paltsev, S., & Capros, P. (2013) · Climate Change Economics · doi:10.1142/s2010007813400034 · Cited by 63
Innovative supply chain optimization models with multiple uncertainty factors
Choi, T., Govindan, K., Li, X., & Li, Y. (2017) · Annals of Operations Research · doi:10.1007/s10479-017-2582-4 · Cited by 63
Transportation, iceberg costs and the adjustment of industrial structure in China
Song, M., Wang, S., & Fisher, R. (2014) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2014.08.005 · Cited by 59
Self-citationDai, H., Zhang, H.-B., & Wang, W. (2017) · Advances in Climate Change Research · doi:10.1016/j.accre.2017.09.003 · Cited by 57
Rathore, H., Jakhar, S. K., Bhattacharya, A., & Madhumitha, E. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.04.029 · Cited by 53
Macroeconomic impacts of climate change mitigation in Latin America: A cross-model comparison
Kober, T., Summerton, P., Pollitt, H., Chewpreecha, U., Ren, X., Wills, W., Villasana, C. A. O., MCFARLAND, J. R., Beach, R., Cai, Y., et al. (2016) · Energy Economics · doi:10.1016/j.eneco.2016.02.002 · Cited by 47
Factors driving international technology transfer: empirical insights from a CDM project survey
Gandenberger, C., Bodenheimer, M., Schleich, J. E., Orzanna, R., & Macht, L. (2015) · Climate Policy · doi:10.1080/14693062.2015.1069176 · Cited by 46
Technology, Humans, and Society: Toward a Sustainable World
Dorf, R. C. (2011) · Cited by 45
Technology transfer in the CDM: an updated analysis
Murphy, K., Kirkman, G. A., Seres, S., & Haites, E. F. (2013) · Climate Policy · doi:10.1080/14693062.2013.812719 · Cited by 43
The Handbook of Global Climate and Environment Policy
Stripple, J., & Stephan, H. (2013) · Wiley eBooks · doi:10.1002/9781118326213 · Cited by 40
Hyŏmnyŏktan, H. K. (2012) · Medical Entomology and Zoology · Cited by 39
Dynamics of technology shifts in the household sector—implications for clean development mechanism
Reddy, B. S., & Balachandra, P. (2004) · Energy Policy · doi:10.1016/j.enpol.2004.08.019 · Cited by 38
Sun, C., Luo, Y., Huang, Y., & Ouyang, X. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.03.222 · Cited by 34
Song, M., Wang, J., Zhao, J., Baležentis, T., & Shen, Z. (2018) · Annals of Operations Research · doi:10.1007/s10479-018-2804-4 · Cited by 34
Self-citationLi, H.-Z., Kopsakangas-Savolainen, M., Xing-zhi, X., Tian, Z., Yang, X.-Y., & Wang, J. (2016) · Energy Economics · doi:10.1016/j.eneco.2016.02.011 · Cited by 33
Self-citationPerroni, M. G., da Costa, S. E. G., de Lima, E. P., & da Silva, W. V. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.08.023 · Cited by 32
Blitzer, C. R., Eckaus, R. S., Lahiri, S., & Meeraus, A. (1993) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol14-no1-3 · Cited by 29
Xie, B.-C., Wang, J., Ma, J.-J., & Duan, N. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.11.007 · Cited by 26
Self-citationHaselip, J., Hansen, U. E., Puig, D., Trærup, S. L. M., & Dhar, S. (2015) · Climatic Change · doi:10.1007/s10584-015-1440-0 · Cited by 24
Sreekanth, K. J. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.06.086 · Cited by 19
Sustainable urbanization performance evaluation and benchmarking
Fang, S., Ji, X., Ji, X., & Wu, J. (2018) · Management of Environmental Quality An International Journal · doi:10.1108/meq-07-2017-0063 · Cited by 17
Climate change, green growth, and aid allocation to poor countries
Dercon, S. (2014) · Oxford Review of Economic Policy · doi:10.1093/oxrep/gru028 · Cited by 15
Sites, funds and spheres of exchange in a Clean Development Mechanism project
Jaramillo, P. (2018) · Journal of Cultural Economy · doi:10.1080/17530350.2018.1444667 · Cited by 15
Blaxekjær, L. Ø. (2015) · International Relations of the Asia-Pacific · doi:10.1093/irap/lcv023 · Cited by 14
Flexible sustainable manufacturing via decision support simulation: A case study approach
Shibin, K. T., Gunasekaran, A., & Dubey, R. (2017) · Sustainable Production and Consumption · doi:10.1016/j.spc.2017.08.001 · Cited by 11
Estimating the impact of emission reduction target-setting on the macroeconomy
Maèda, A. (2013) · Environmental Economics and Policy Studies · doi:10.1007/s10018-013-0062-x · Cited by 4
Govindan, K., & Choi, T. (2017) · Supply Chain Management An International Journal · doi:10.1108/scm-05-2017-0175 · Cited by 3
Cited by
Sorted by citations
Du, K., Cheng, Y., & Yao, X. (2021) · Energy Economics · doi:10.1016/j.eneco.2021.105247 · Cited by 1,210
The impact of fintech innovation on green growth in China: Mediating effect of green finance
Zhou, G., Zhu, J., & Luo, S. (2022) · Ecological Economics · doi:10.1016/j.ecolecon.2021.107308 · Cited by 638
Shi, B., Li, N., Gao, Q., & Li, G. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.115650 · Cited by 386
Can China’s policy of carbon emission trading promote carbon emission reduction?
Xuan, D., Ma, X., & Shang, Y. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122383 · Cited by 382
The emerging driving force of inclusive green growth: Does digital economy agglomeration work?
Ren, S., Li, L., Han, Y., Hao, Y., & Wu, H. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2975 · Cited by 382
Metadata
- Authors
- Song, M., Zhu, S., Wang, J., & Zhao, J.
- Affiliations
- Anhui University of Finance and Economics (CN)
- Dongbei University of Finance and Economics (CN)
- Corresponding author
- Zhao, Jiajia
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 219
- Pages
- 152-163
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2955923260
- Cited by
- 156
- References
- 90
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 18 · 2023: 26 · 2022: 24 · 2021: 27 · 2020: 27
- FWCI
- 14.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Major Project of Philosophy and Social Science Research
- Ministry of Education of China (14JZD031, 16YJCZH155)
- Youth Project of Humanities and Social Sciences Research
- National Natural Science Foundation of China (71473203, 71471001, 41771568, 71533004)
- National Key Research and Development Program of China (2016YFA0602500)
- Humanities and Social Science Research Project of the Education Department in Liaoning (LN2017QN001)
- Social Science Foundation of Liaoning Province (L18AJY006, L18BJY024)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Keywords
- green growth, carbon emission reduction, directional distance function, slack-based measure, Malmquist productivity index, technological progress, regional disparities, Chinese provinces
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