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Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS[J]. Applied Energy, 2018, 216: 132-141.SSCIN:S & SCIN:S & EIh"} q_TVP[7.9-NVwm m'Yf[Ne>yOyf[8h_g RA~ [2] Zhao X, Han M, Ding L, et al. Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA[J]. Environmental Science and Pollution Research, 2018, 25(3): 2899-2910. SSCIN:S & SCIN:Sh"} q_TVP[2.8-NVwm m'Yf[Ne>yOyf[8h_g RA~ [3] Yuan S, Guo J, Zhao X. Integrated weighting technique for coastal vulnerability to storm surges[J]. Journal of Coastal Research, 2017, 80(sp1): 6-12.\OSSCI & SCI q_TVP[1.064-NVwm m'Yf[Ne>yOyf[8h_g RC~ [4] Zhao X, Peng Y, Xue Y, et al. Spatial patterns of ocean economic efficiency and their influencing factors in Chinese coastal regions[J]. Journal for Economic Forecasting, 2016 (4): 35-49. SSCI-NVwm m'Yf[Ne>yOyf[8h_g RC~ [5] Zhao X, Xue Y, Kang W, et al. Measuring Efficiency of Ocean Economy in China Based on a Novel Luenberger Approach[J]. Romanian Journal of Economic Forecasting, 2018, 21(2): 5. SSCI-NVwm m'Yf[Ne>yOyf[8h_g RC~ [6] uf,1gޏx,NΞΞ.n~gte-N?e^0enNNT O~nNNvoSZS_Rg[J].fkIl'Yf[f[b(Tf[>yOyf[Hr),2018,71(01):145-156. -NVNl'Yf[b R YpSDehQel} -NVwm m'Yf[Ne>yOyf[8h_g RC~ [7] uf,\h,NΞΞ.ppr!j|sX NWNibceǏ zv1_gCg[N!jW[J].|~] z,2017,35(12):35-42. V[6qyf[WёYXTO{tyf[͑g RB~ [8] uf,1gޏx,NΞΞ.xё^:WSU\voSZS_GWaSvQq_TV }Rg[J].-N.Y"~'Yf[f[b,2018(03):76-86. CSSCI [9]uf,pg,NΞΞ.cNQ~0rzcNltN N^lQSǏ^bDL:Nxvz[J].[N~Nmxvz,2018,33(01):69-80. CSSCI (WxyvS~9 [1]2015-2019 V[6qyf[Wё͑'Yyv zS'`wm m~p[b` YRċ0OS^:WScGS_xvz yvS15ZDB171~980N [2]lq\f[] zNy~9DRyvStsqn201712014~9200N 9.kKQN T|e_ 0532-66782085 13361261789 yinkedong@126.com buNN^(u~Nmf[ ;NxvzeT'^ёSO|NΘi{tpeϑ~NmRgN^!j0'^ёSO|NΘi{t0|~OSNwNvKmf я Nt^;NxvzbgShez5{ ;Ncyxyv2y0 (WxyvS~9(Wxyv2y yx~930NCQ0 10.NΞΞ T|e_13963907067 dinglili0220@163.com buNN^(u~Nmf[ ;NxvzeTёΘi{t0:SW~Nmf[ я Nt^;Nxvzbg [1]LiliDing,LongChang,LeiWang.Onlineauction-basedresourceschedulingingridcomputingnetworks[J].InternationalJournalof DistributedSensorNetworks,2016,12(10):1-12.(SCI) [2]Lili Ding, Haihong Zheng, Wanglin Kang. Measuring the green efficiency of ocean economy in China: an improved three-stage DEA model[J]. Romanian Journal of Economic Forecasting,2017,3:57-72(SSCI) [3]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 SCI) (WxyvS~9 [1]2015-2018V[6qyf[Wё Nnx[Bl NvbR_T~bVSOSFU:g6Rxvz (71471105;61N) [2]lq\f[] zNy~9DRyvStsqn20161014 11.s? T|e_18753299830 buNN^(u~Nmf[ ;NxvzeTDn_SNVl~NmSc~SU\sX~Nmf[ я Nt^;Nxvzbg*h:y\O  Malin Song, Jing Wang, Shuhong Wang* and Danqing Zhao. 2018. 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, 742014 395-405. (SSCI Index, IF: 4.039).N:STOP s?, [lg. TqS:geNYFUvcbDRSSv~Rg[J]. -N.Y"~'Yf[f[b, 2014(11): 89-99.CSSCI [lg, s?*, tQN. NyQtepe~_gvsXHesċNMOISBMSE!jW. {tyf[f[b, 2014(11): 69-78. ^_, NSe, s?*. ]D NmOMNObVvkORT[J]. SNS, 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. 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