The Construction Of Carbon Quota Financial Market On The Basis Of The Nonlinear Programming

With the development of the process of industrialization, the growth of the population and human desire, the human living environment faces severe challenges.Low carbon economy gets more and more attention. From "The United Nations framework convention on climate change" and the "Kyoto Protocol"to the "Bali Island road map" and the Copenhagen Summit on climate change, the international negotiations about greenhouse gas emissions are becoming increasingly fierce. At present, the global climate change already involves environment, political, economic, trade and other aspects of the comprehensive problem. We must focus on the natural resources,industrial development degree and the reliance on energy and the level of the carbon emissions of different areas in China,and construct a carbon quota finance market. Carbon emissions have commodity attribute.With the the maturity of emissions trading mechanism and the development of the carbon market transactions, carbon emissions will evolve into financial instruments,such as carbon emissions spot trading, futures, options trading, green credit, green guarantee, etc.Therefore,the carbon quota finance market begins to grow up.The carbon quota financial market includes trading places, institutions, products and services and so on.Starting from the national and provincial area (including municipalities) carbon intensity and emissions reductions, the author introduces of the nonlinear programming model of emission reduction quota allocation and the provincial abatement cost estimation model based on the carbon intensity. For the target of the national minimum abatement costs, we get the2020provincial emission reduction quota allocation scheme by using LINGO software and non-linear programming model. According to the predictive value for carbon emission reductions, we do research and exploration on building our regional carbon emission rights market and carbon finance market.The present article is organized as follows:Chapter I introduces the research significance of the article, research content and innovation as well as inadequacies; Chapter II first introduces the concept of low-carbon economy, and then a literature review; Chapter III is the nonlinear programming analysis of mission reduction quota, first introduced nonlinear programming model, then describes the data sources, data simulation and analysis, finally carbon emission reduction quotas in2020come to the conclusion. Chapter IV is the allocation of quotas based on emission reduction carbon finance development proposals, mainly divided into two parts, the first is about the carbon emissions trading market construction, mainly involving the market order, the key conditions and on the carbon emission reduction effects in three aspects, and then about the construction of the carbon financial market, mainly related to the market order, carbon finance trading tools, the market build key issues and system of government support in four areas.The context uses LINGO software to analysis the data of the population, GDP and carbon emissions of china,2010.And then gets the optimal emission reduction allocation scheme. Then it makes recommendations about the construction of carbon financial market,such as the order of the market construction,the key problems and the practical significance of the carbon financial market,etc.In this paper, the carbon intensity of the provinces is the starting point.Then The context forecasts the emission reduction quota allocation in2020by using LINGO software. This context starts from the micro level, quantifies the emission reduction targets of China’s provinces, builds their emission reduction task and analysis the emission reduction resistance, and then made recommendations for the construction of the carbon financial market,These make the article more targeted; In addition, all the data in this article are referenced from the "China low carbon Yearbook2010","China Statistical Yearbook2011"and"China Energy Statistical Yearbook2011",these are the latest data to make the research more in line with the current development of China’s low-carbon business.Of course, there are also inadequates.As a result of the reference data available is limited,,the article does not refined to the level of the province of the region in the analysis of the problem of carbon emission reduction and market building.