基于内生增长理论与GVAR模型的能源消费控制目标下经济增长与碳减排研究

本文通过引入使用可替代能源生产的中间产品,构建能源约束和碳排放约束下的内生经济增长模型,并运用全局向量自回归(GVAR)模型,实证分析了具有空间关联性的中国各省(区市)能源消费控制对经济增长和碳排放的动态影响。研究结果表明:在不影响经济增长且受碳排放约束条件下完成能源消费总量考核的目标,可以通过研发可再生能源、提高碳排放清洁技术水平、增加碳基能源的边际产出等实现;能源消费总量的考核目标对能源消费强依赖地区约束性较强,对其余地区的约束力较弱,其余地区可节能潜力较强;能源结构逆向调整的存在使得控制能源消费总量对少部分省(区市)无法达到减排效果。进一步地,本文实证分析了目前节能减排实施过程中可能存在的问题:科技进步对能源结构顺向调整效果不显著、可再生新能源的研究效率低下,技术进步对碳排放清洁方面无显著效果;依靠传统能源价格的调整虽能有效减排却会抑制经济增长。

Research on Economic Growth and Carbon Abatement Under the Energy Consumption Controlling Objective Based on Endogenous Growth Theory and GVAR Model

In this paper, an endogenous growth model with dual constraints of energy consumption and carbon emission is developed by introducing both, a non-renewable energy and a renewable energy, which can both serve for intermediates. And the global vector auto regression(GVAR)model is established with spatial correlation to analyze the dynamic impact on economic growth and carbon emissions by controlling energy consumption of every province of China.The results show that by using renewable energy, improving cleaner technologies and the marginal output of non-renewable energy, the goal of energy consumption assessment can be achieved, under the constraints of reducing carbon emissions and promoting economic growth.The goal of energy consumption has a strong constraint to provinces consuming more energy but a weak constraint to others, which have greater potential to energy conservation.Because the structure of the energy consumption adjusts against the tide, the carbon emission is not decreasing in some provinces. Furthermore, the problems in the process of reducing energy consumption are tried to be found. The results show that technology research has little effect on adjusting the structure ofenergy consumption and finding renewable energy. And technology research also has little effect on reducing carbon emission.Although relying on the adjustment of traditional energy price can reduce the carbon emission but this would limit economic growth.