产业投资结构对广东省能源消费和GDP的影响研究
The Impact of Industrial Investment Structure on Energy Consumption and GDP in Guangdong
DOI: 10.12677/SD.2017.74028, PDF, HTML, XML, 下载: 1,918  浏览: 5,712  国家自然科学基金支持
作者: 王昭, 秦汉时：中国科学院广州能源研究所，广东 广州；中国科学院可再生能源重点实验室，广东 广州；广东省新能源和可再生能源研究开发与应用重点实验室，广东 广州；中国科学院大学，北京；汪鹏*, 赵黛青：中国科学院广州能源研究所，广东 广州；中国科学院可再生能源重点实验室，广东 广州；广东省新能源和可再生能源研究开发与应用重点实验室，广东 广州
关键词: 产业投资结构；CGE模型；能源消费；GDP；Industry Investment Structure； CGE Model； Energy Consumption； GDP
摘要: 本文基于广东两区域动态CGE模型，模拟了不同产业投资结构下广东省2016~2030年之间能源消费与GDP的变动情况，研究发现：对于黑色金属加工业、石油化工业、纺织业、造纸业、有色金属加工业，通过限制并逐年降低其投资额度的方式，可以较大程度降低其能源消费量；对于电力热力燃气水的生产和供应业，适当减缓投资增速，便能达到较好的结果；对于交通业、矿物开采业，限制投资的效果并不明显；对于非金属矿物业，限制投资反而会适得其反。结果表明在制定投资政策时，必须考虑到不同行业对投资敏感程度的差异性，以及不同行业的能源消费与投资之间的相关程度。
Abstract: Based on the dynamic CGE model of Guangdong region, this paper simulates the change of energy consumption and GDP of Guangdong Province from 2016 to 2030 under different industrial investment structure. It is found that for the ferrous metal processing industry, petrochemical industry, textile industry and paper industry, non-ferrous metal processing industry, by limiting and decreasing its investment quota year by year, can reduce its energy consumption to a large extent; for the power of thermal gas water production and supply industry, the appropriate slowdown in investment growth, will be able to achieve the better results; for the transportation industry, mineral mining industry, the effect of restricted investment is not obvious; for non-metallic mineral industry, limiting investment but will be counterproductive. Therefore, when we formulate investment policies, we must take into account the differences in the sensitivity of different industries to investment, as well as the correlation between energy consumption and investment in different industries.
文章引用：王昭, 汪鹏, 秦汉时, 赵黛青. 产业投资结构对广东省能源消费和GDP的影响研究[J]. 可持续发展, 2017, 7(4): 226-239. https://doi.org/10.12677/SD.2017.74028

参考文献

[1] 郭宝华, 张晖. 论以投资结构优化推动产业结构优化升级[J]. 市场论坛, 2010(7): 51-53.
[2] 杨秀芝, 尚庆为, 唐小旭. 投资结构与产业结构优化研究[J]. 商业经济, 2007(2): 3-4.
[3] 范德成, 刘希宋. 产业投资结构与产业结构的关系分析[J]. 学术交流, 2003(1): 68-71.
[4] 陈婧. 我国投资结构对产业结构的影响研究[D]: [硕士学位论文]. 长春: 吉林大学, 2007.
[5] 许秀川, 罗倩文. 重庆市产业结构、能源消费与经济增长关系的实证研究[J]. 西南大学学报(自然科学版), 2008, 30(1): 160-164.
[6] 张传平, 赵亚楠. 山东省能源消费、产业结构和经济发展关系实证研究[J]. 华东经济管理, 2014, 26(4): 119-123.
[7] 肖萍. 能源消费、产业结构与经济增长关系的实证研究[D]: [硕士学位论文]. 长沙: 湖南大学, 2012.
[8] 林景伟. 我国能源消费与经济增长、产业结构关系研究[D]: [硕士学位论文]. 昆明: 云南财经大学, 2014.
[9] Steininger, K.W. (2002) The Foreign Trade and Sectoral Impact of Truck Road Pricing for Cross-Border Trade. Environmental and Resource Economics, 23, 213-253.
https://doi.org/10.1023/A:1021263213158
[10] Ponjan, P. and Thirawat, N. (2016) Impacts of Thailand’s Tourism Tax Cut: A CGE Analysis. Annals of Tourism Research, 61, 45-62.
https://doi.org/10.1016/j.annals.2016.07.015
[11] Waisman, H.D., Cassen, C., Hamdicherif, M., et al. (2014) Sustaina-bility, Globalization, and the Energy Sector Europe in a Global Perspective. The Journal of Environment & Development: A Review of International Policy, 23, 101-132.
https://doi.org/10.1177/1070496513516466
[12] Gao, Y. (2008) Construction of Extended CGE Model with Re-source and Environment Accounting. China Population Resources & Environment, 18, 20-23.
[13] Wang, P., Dai, H.C., Ren, S.Y., et al. (2015) Achieving Copenhagen Target through Carbon Emission Trading: Economic Impacts Assess-ment in Guangdong Province of China. Energy, 79, 212-227.
[14] Dai, H., Masui, T., Matsuoka, Y., et al. (2012) The Impacts of China’s Household Consumption Expenditure Patterns on Energy Demand and Carbon Emissions towards 2050. Energy Policy, 50, 736-750.
[15] 徐家杰. 中国全要素生产率估计: 1978-2006年[J]. 亚太经济, 2007(6): 65-68.
[16] Fujimori, S., Masui, T. and Matsuoka, Y. (2014) Development of a Global Computable General Equilibrium Model Coupled with Detailed Energy End-Use Technology. Applied Energy, 128, 296-306.
[17] Zhang, Z.X. (1996) Macroeconomic Effects of CO2, Emission Limits: A Computable General Equilibrium Analysis for China. Journal of Policy Modeling, 20, 213-250.
[18] Dai, H., Masui, T., Matsuoka, Y., et al. (2011) Assessment of China’s Climate Com-mitment and Non-Fossil Energy Plan towards 2020 using Hybrid AIM/CGE Model. Energy Policy, 39, 2875-2887.

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