“云能源”效率的内生增长效应研究——嵌套能效提升模型的经济可持续增长分析
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摘要
通过动态优化的宏观经济增长模型,对建立在"云能源"基础上的宏观经济内生增长模式进行了理论分析,并结合中国1995-2014年的宏观经济数据进行了实证检验,发现云能源能通过充分激发个体的能效改进行为推动宏观经济的可持续增长,显示能源消耗的效率对于区域经济增长有着重要的意义,提高能效水平能显著降低"尾效"(Tail Drag)影响,由此证实在以东部少数省份为代表的发达地区,受制于当前能源约束,市场机制已经促使能耗效率开始实现内生化提高,为经济长期可持续增长提供动力。
Through dynamic optimization theory, this paper builds endogenous growth model nesting energy efficiency index, and conducts empirical analysis based on macro-economic data of China from 1995-2014. The result reveals the contribution of Energy cloud, which continuously encourages consumer to improve energy efficiency and simulates the endogenous growth for economy. The empirical results support the emerging market organization's function of weakening the negative impacts of energy "Tail Drag". Furthermore, the data analysis based on DEA found that some provinces represented by developed east regions under the pressure of energy resource's restriction have already cultivated mature endogenous growth mechanism for regional energy efficiency, which provides growth power continuously for local economy.
Through dynamic optimization theory, this paper builds endogenous growth model nesting energy efficiency index, and conducts empirical analysis based on macro-economic data of China from 1995-2014. The result reveals the contribution of Energy cloud, which continuously encourages consumer to improve energy efficiency and simulates the endogenous growth for economy. The empirical results support the emerging market organization's function of weakening the negative impacts of energy "Tail Drag". Furthermore, the data analysis based on DEA found that some provinces represented by developed east regions under the pressure of energy resource's restriction have already cultivated mature endogenous growth mechanism for regional energy efficiency, which provides growth power continuously for local economy.
引文
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[9] Vishwanath A, Jalali F, Hinton K, et al. Energy Consumption Comparison of Interactive Cloud-Based and Local Applications[J].Selected Areas in Communications, IEEE Journal on, 2015,33(4):616-626.
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[18] You S, Jin L, Zong Y. The Danish Perspective of Energy Internet: From Service-oriented Flexibility Trading to Integrated Design, Planning and Operation of Multiple Cross-sectoral Energy Systems[J].ZhongguoDianjiGongchengXuebao, 2015,14:3470-3481.
[19] Hu J L, Wang S C. Total-factor energy efficiency of regions in China[J].Energy policy, 2006,34(17):3206-3217.
[20] 龙少波.中国能源消耗与经济增长的关系再研究[J].北京交通大学学报(社会科学版),2015(1):36-44.
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[23] 魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007,9:110-122.
[24] 李影.中国区域经济增长的能源约束研究[J].统计与决策,2015,17:122-124.
[25] Kyriakopoulou E. Atmospheric Pollution in Rapidly Growing Urban Centers:Spatial Policies and Land Use Patterns[J].Journal of Economic Geography,2014(10):1091-1023
[26] Katrakilidis C, Kyritsis I, Patsika V. The dynamic linkages between economic growth, environmental quality and health in Greece[J]. Applied Economics Letters, 2015:1-5.
[27] Farrell M J. The measurement of productive efficiency[J].Journal of the Royal Statistical Society. Series A (General), 1957:253-290.
[28] 汪克亮,孟祥瑞,杨宝臣,等.基于环境压力的长江经济带工业生态效率研究[J].资源科学,2015,37(7):1491-1501.
[29] Benhabib J, Spiegel M M. The role of human capital in economic development evidence from aggregate cross-country data[J]. Journal of Monetary economics, 1994,34(2):143-173.
[2] 周茂荣,祝佳.欧盟新能源政策:动因分析与前景展望[J].世界经济研究,2007(12):67-88.
[3] 刘松万.发展新能源产业的财政政策与措施[J].山东社会科学,2009(11):116-118.
[4] 成思危.发展新能源的三个层次[J].建筑节能,2010(1):80.
[5] 王军.新能源、传统能源对我国经济增长的贡献分析[J].安徽行政学院学报,2014,2(5):27-31.
[6] Moghaddam FA, Lago P, Grosso P. Energy-Efficient Networking Solutions in Cloud-Based Environments: A Systematic Literature Review[J].ACM Computing Surveys, 2015,47(4):17-43.
[7] Chien T, Hu J L. Renewable energy and macroeconomic efficiency of OECD and non-OECD economies[J].Energy Policy, 2007,35(7):3606-3615.
[8] Feller E, Ramakrishnan L, Morin C. Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study[J].Journal of Parallel and Distributed Computing. 2015,79:80-89.
[9] Vishwanath A, Jalali F, Hinton K, et al. Energy Consumption Comparison of Interactive Cloud-Based and Local Applications[J].Selected Areas in Communications, IEEE Journal on, 2015,33(4):616-626.
[10] Bretschger L. Energy prices, growth, and the channels in between: theory and evidence[J].Resource and Energy Economics, 2015,39:29-52.
[11] Sun Q, Wang B, Huang B, et al. The optimization control and implementation for the special energy internet[J].Proceedings of the CSEE, 2015,35(18):4571-4580.
[12] Chen D, Cheng C, Urpelainen J. Support for renewable energy in China: a survey experiment with internet users[J].Journal of Cleaner Production. 2015,8:981-1003.
[13] Panayotou. Empirical tests and policy analysis of environmental degradation at different stages of economic development[J].Technology and employment programme,1993(4):1221-1263.
[14] Zaim O, Taskin F. A Kuznets curve in environmental efficiency:an application on OECD countries[J].Environmental and resource economics, 2000,17(1):21-36.
[15] 王海建.耗竭性资源管理与人力资本积累内生经济增长[ J].管理工程学报,2000,14(3):11-13.
[16] 杨宏林,田立新,丁占文.能源约束下的经济可持续增长[J].系统工程,2004(3):40-43.
[17] 陶磊,刘朝明,陈燕.可再生资源约束下的内生增长模型研究[J].中南财经政法大学学报,2008,1:16-19.
[18] You S, Jin L, Zong Y. The Danish Perspective of Energy Internet: From Service-oriented Flexibility Trading to Integrated Design, Planning and Operation of Multiple Cross-sectoral Energy Systems[J].ZhongguoDianjiGongchengXuebao, 2015,14:3470-3481.
[19] Hu J L, Wang S C. Total-factor energy efficiency of regions in China[J].Energy policy, 2006,34(17):3206-3217.
[20] 龙少波.中国能源消耗与经济增长的关系再研究[J].北京交通大学学报(社会科学版),2015(1):36-44.
[21] Romer. Advanced Macroeconomics[M].Columbus: The McGraw-Hill Companies,2001.
[22] Bruvoll A,Glomstrd S,Vennemo H,Environmental Drag:Evidence from Norway[J].Ecological Economics, 1999(30):107-139.
[23] 魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007,9:110-122.
[24] 李影.中国区域经济增长的能源约束研究[J].统计与决策,2015,17:122-124.
[25] Kyriakopoulou E. Atmospheric Pollution in Rapidly Growing Urban Centers:Spatial Policies and Land Use Patterns[J].Journal of Economic Geography,2014(10):1091-1023
[26] Katrakilidis C, Kyritsis I, Patsika V. The dynamic linkages between economic growth, environmental quality and health in Greece[J]. Applied Economics Letters, 2015:1-5.
[27] Farrell M J. The measurement of productive efficiency[J].Journal of the Royal Statistical Society. Series A (General), 1957:253-290.
[28] 汪克亮,孟祥瑞,杨宝臣,等.基于环境压力的长江经济带工业生态效率研究[J].资源科学,2015,37(7):1491-1501.
[29] Benhabib J, Spiegel M M. The role of human capital in economic development evidence from aggregate cross-country data[J]. Journal of Monetary economics, 1994,34(2):143-173.