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Knowledge accumulation, development potential and efficiency evaluation: an example using the Hainan free trade zoneJournal of Knowledge Management, DOI: org/10.1108/JKM-06-2018-0368 Malin Song, Shaopeng Cao, Shuhong Wang*. 2018. The impact of knowledge trade on sustainable development and environment-biased technical progress. Technological Forecasting & Social Change, https://doi.org/10.1016/j.techfore.2018.02.017. IF: 3.129 N:S Malin Song, Mei Chen, Shuhong Wang*, Global supply chain integration, financing restrictions, and green innovation: Analysis based on 222,773 samples. International Journal of Logistics Management, 29(2): 539-554. IF: 1.776, 3:S Malin Song, Shuhong Wang*, Jing Sun. (2018). Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing. Technological Forecasting & Social Change, 133: 1-14. IF: 3.129 N:S Malin Song, Shuhong Wang*. (2018). Effects of outward migration of factory for the Beijing-Tianjin-Hebei city circle. International Journal of Computer Integrated Manufacturing, Vol(31), No. 6, pp: 513-522. IF: 1.995 2:S Shuhong Wang, Mei Chen, Malin Song*. (2018). Energy constraints, green technological progress, and business profit ratios: Evidence from big data of Chinese enterprises. International Journal of Production Research. Vol. 56, No. 8, pp. 2963-2974. IF: 2.623, 1:S Shuhong Wang*, Xiaoli Sun. (2018). The global system ranking efficiency model and calculating examples with consideration of the nonhomogeneity of decision making units. Expert Systems. DOI: 10.1111/exsy.12272. IF: 1.43, 2:S Shuhong Wang, Hui Yu, Malin Song*. (2018). Assessing the efficiency of environmental regulations of large-scale enterprises based on extended fuzzy data envelopment analysis. Industrial Management & Data Systems, 118(2): 463-479. IF: 2.948. 1:S Malin Song, Shuhong Wang*. (2018). Market competition, green technology progress and comparative advantages in China. Management Decision. 56(1): 188-203. (SSCI Index Journal, IF: 1.525) 3:S Malin Song, Shuhong Wang*. (2018). Measuring Environment-Biased Technological Progress Considering Energy Saving and Emission Reduction. Process Safety and Environmental Protection, 116: 745-753. (SSCI Index Journal, IF: 3.441)1:S Shu-Hong Wang, Yan-Chao Wang, Ma-Lin Song*. (2017). Construction and analogue simulation of TERE model for measuring marine bearing capacity in Qingdao. Journal of Cleaner Production, 167: 1303-1313. (SSCI Index Journal, IF: 5.651)1:S Shuhong Wang, Malin Song*. (2017). Influences of reverse outsourcing on green technological progress from the perspective of a global supply chain. Science of the Total Environment, 595: 201-208. IF: 4.61 1:STOP Malin Song, Wanping Zheng, Shuhong Wang*. (2017). Measuring Green Technology Progress in Large-scale Thermoelectric Enterprises based on Malmquist-Luenberger Life Cycle Assessment. Resources, Conservation & Recycling. 122: 261-269. IF: 5.12 1:S Cao Bingru, Shuhong Wang*. (2017). Opening up, international trade, and green technology progress in China. Journal of Cleaner Production. 142, 1002-1012. (SSCI Index Journal, IF: 5.651) 1:S Malin Song, Shuhong Wang*. (2017). Participation in global value chain and green technology progress: evidence from big data of Chinese enterprises. Environmental Science and Pollution Research, 24(2): 1648-1661. IF: 2.8 2:S Malin Song, Shuhong Wang*, Kaiya Wu. (2016). Environment-biased technological progress and industrial land use efficiency in China s new normal. Annals of Operations Research, DOI 10.1007/s10479-016-2307-0. IF: 1.864. �N:S Shu-Hong Wang, Ma-Lin Song*, Tao Yu. (2016). Hidden carbon emissions, industrial clusters, and structure optimization in China. Computational Economics. DOI 10.1007/s10614-016-9570-7 (SSCI Index Journal, IF: 1.038) N:S Malin Song, Shuhong Wang*. (2016). Can employment structure promote environment-biased technical progress? Technological Forecasting & Social Change, 112: 285-292. IF: 3.129 N:S Bingru Cao, Kunpeng Fu, Jun Tao, Shuhong Wang*. GMM-based Research on Environmental pollution and population migration in Anhui Province, China. Ecological Indicators, 51 (2015):159-164. (SSCI Index, IF: 3.983).1:S Shuhong Wang, Malin Song*. Review of hidden carbon emissions, trade, and labor income share in China, 2001 2011. Energy Policy, 74�2014 ��395-405. (SSCI Index, IF: 4.039).N:STOP �s�?�, �[l��g. TqS:g�e�NYFU�v�c�bD����R�SS�v�~��R�g[J]. -N.Y"��~'Yf[f[�b, 2014(11): 89-99.�CSSCI � �[l��g, �s�?�*, ��tQN. N�y�Q�tepe�~_g�v�s�XHe�sċ�NMOISBMSE!j�W. �{t�yf[f[�b, 2014(11): 69-78. �^�_, ��NS�e, �s�?�*. �]D� N�mOM�NOb�V�v�k��O�RT�[J]. �S�N�S, 2014(11). Malin Song*, Shuhong Wang. Environmental Efficiency Evaluation of China Based on a Kind of Congestion and Undesirable Output Coefficient [J]. PANOECONOMICUS, 2015, Vol 62, Issue 4: 453-468. (SSCI Index, IF: 0.77). Malin Song*, Jie Zhang, Shuhong Wang. Review of the network environmental efficiencies of listed petroleum enterprises in China [J]. Renewable and Sustainable Energy Reviews. 2015(43), 65-71. (SCI Index, IF: 4.842). Malin Song*, Shuhong Wang. DEA decomposition of China's environmental efficiency based on search algorithm [J]. APPLIED MATHEMATICS AND COMPUTATION, 2014, 247: 562-572. (Wxy��v�S�~9�� 1.�V�[�6q�yf[�WёR�t^y��v(71601170)��W�NpencS�~R�g�v�s�XOPT�W�b/gۏekKm�^xvz 15NCQ 2.Ye��萺N�e>yO�yf[xvzy��v(16YJC630123)��Q�:S�W�]_�v�~r��b/gۏekKm�^NOSxvz 8NCQ 3.-N�VZS�XT�Wёyr+RD��R�2017T100514 ���Q�:S�W�]_�vgOOPT�W�b/gۏek!j_xvz 15NCQ 4.-N�VZS�XTb� N�WёNI{D��R�2015M570613 ���Q��s�Xĉ6R�v�~r��b/gۏekKm�^xvz 8NCQ 5.q\NwZS�XTR�ey��vNy��201503013 ��b�T'Ypenc�v�s�XOPT�W�b/gۏekt��0�e�lN�^(u 5NCQ 5. R�fIQ ����T��|�e_�0532-66782021 �2000046@ouc.edu.cn �buNN��^(u�~Nmf[ ;N��xvz�eT�:S�WR�eN�VE��~NmT\O я Nt^;N��xvzb�g� �1 �Liu Shuguang, Yang Xiaoxin. A cross-national analysis of the correlated network structure of marine transportation in the Indian ocean rim association. Communications in Computer and Information Science�Geo-Spatial Knowledge and Intelligence (Part 2) 2018/v 849, (EI index proceedings) �2 �Shuguang Liu, Han Zhang, Chunyu Liu, Lu Wang. Spatial Evolutionary Pattern and Regional Innovation Efficiency of European Union. 6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence.(EI index proceedings) �3 �Shu-guang LIU, Lu WANG, Chun-yu LIU. Visualized Social Network Analysis on Spatial Dynamics of International Trade between China and League of Arab States. 2018 3rd International Conference on Computational Modeling, Simulation and Applied Mathematics (CMSAM 2018) 2018: 270-277.(EI index proceedings) �4 �Shu-guang LIU. Visualized Social Network Analysis on Spatial Dynamics of International Trade between China and League of Arab States[A]. Science and Engineering Research Center.Proceedings of 2018 3rd International Conference on Computational Modeling, Simulation and Applied Mathematics (CMSAM 2018)[C].Science and Engineering Research Center:Science and Engineering Research Center,2018:8. �5 �Yang Yi, Jean Boncouerm Liu Shuguangm et al. Economic assessment and environmental management of green tides in the Chinese Yellow sea. OCEAN and COASTAL MANAGEMENT, 2018(3) (SCI, EI) �6 ��kiO)R,R�fIQ,9\O�, _wm�\.�W^�_�S:_�^ND��n�s�Xb}��R&�TOS��v�[��[J].�~��N�QV{,2019,35(08):49-52. �7 ��kiO)R,R�fIQ,9\O�, _wm�\.-N�V�lwm�W^_�S:_�^ND��n�s�Xb}��R�ezz&�TOS�sQ�|[J].�~Nm0Wt,2018,38(05):60-67. �8 �R�fIQ,�Y�.2005 2015t^b�V:S�WR�ezz��yO�yf[Hr),2017(06):7-10. �10 �R�fIQ �R m. N^lQ�SR�e�beQ:_�^�[�v)R���R�vq_�T  �W�NGPSM�vxvz. 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China s provincial total-factor air pollution emission efficiency evaluation, dynamic evolution and influencing factors[J]. Ecological Indicators, 2019(107) 105578. https://doi.org/10.1016/j.ecolind. 2019.105578. �SCI, JCR 1:S � [2]Yang Li, Wang Ke-Liang*, Geng Ji-Chao. China s regional ecological energy efficiency and energy-saving and pollution abatement potential: An empirical analysis utilizing Epsilon-based measure model[J].Journal of Cleaner Production, 2018(174): 300-308. (SCI/SSCI �JCR 1:S) [3]Wang Ke-Liang*, Meng Xiang-Rui, Yang Bao-Chen, et al. Investigating the sources of environmental total factor productivity change using input-specific Luenberger productivity indicator: An empirical analysis of China[J]. Journal of advanced oxidation technologies, 2018, 21(6): 150-160. (SCI, JCR 4:S) [4]jlKQ�N �_[ey^t �hg�[�.-N�V:S�W�~Nm�X��v'Yl�s�X�~Hexvz[J].peϑ�~Nm�b/g�~Nmxvz �2016t^,{11g.���V�[�6q�yf[�Wё�Y�{tf[萤��[�vA{|g R �CSSCI �. 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Ocean & Coastal Management .2019.176:49-59. [2]  HYPERLINK "https://www.researchgate.net/profile/Lili_Ding5?_sg=gZoxDHJr7vto-dnfGJHfyBRKryEyjAYqTKe59tLz9PDmhF1VClr93S0ZOY7jwvQff-XcImw.2ZXBmQlyQqMe1abLhJc8ubfgh6osrd-vXr7h2pkayXhdpHCxh7QYzBJ7OWUmKmg9fx_EcHuEyl1YZfFrmjUiZA" Lili Ding, HYPERLINK "https://www.researchgate.net/scientific-contributions/2156343478_Mengxi_Liu?_sg=gZoxDHJr7vto-dnfGJHfyBRKryEyjAYqTKe59tLz9PDmhF1VClr93S0ZOY7jwvQff-XcImw.2ZXBmQlyQqMe1abLhJc8ubfgh6osrd-vXr7h2pkayXhdpHCxh7QYzBJ7OWUmKmg9fx_EcHuEyl1YZfFrmjUiZA" Mengxi Liu, HYPERLINK "https://www.researchgate.net/scientific-contributions/69690213_Wanglin_Kang?_sg=gZoxDHJr7vto-dnfGJHfyBRKryEyjAYqTKe59tLz9PDmhF1VClr93S0ZOY7jwvQff-XcImw.2ZXBmQlyQqMe1abLhJc8ubfgh6osrd-vXr7h2pkayXhdpHCxh7QYzBJ7OWUmKmg9fx_EcHuEyl1YZfFrmjUiZA" Wanglin Kang, HYPERLINK "https://www.researchgate.net/scientific-contributions/2139450369_Xin_Zhao?_sg=gZoxDHJr7vto-dnfGJHfyBRKryEyjAYqTKe59tLz9PDmhF1VClr93S0ZOY7jwvQff-XcImw.2ZXBmQlyQqMe1abLhJc8ubfgh6osrd-vXr7h2pkayXhdpHCxh7QYzBJ7OWUmKmg9fx_EcHuEyl1YZfFrmjUiZA" Xin Zhao. Prior-free auction mechanism for online supplier with risk taking. computer industrial engineering, Computers & Industrial Engineering,2019,133:1-8. [3] Lili Ding, Zhanlei Lv, Meng Han, Xin Zhao, Wei Wang. Forecasting China's wastewater discharge using dynamic factors and mixed-frequency data. Environmental Pollution,2019. [4] Lili Ding, Ying Yang, Wei Wang. Regional carbon emission efficiency and its dynamic evolution in China: a novel cross efficiency-Malmquist productivity index. Journal of Cleaner Production,2019. [5] Lili Ding, Haihong Zheng, Xin Zhao. The Efficiency of Chinese Ocean Economy in a Governance Framework Using an Improved Malmquist-Luenberger Index. Journal of Coastal Research. 2018.34(2):272-281. 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