本文關(guān)鍵詞： 碳排放 經(jīng)濟(jì)增長(zhǎng) 脫鉤　出處：《云南財(cái)經(jīng)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著生態(tài)環(huán)境日益嚴(yán)峻,碳排放成為現(xiàn)今研究的一個(gè)重點(diǎn)。經(jīng)濟(jì)的發(fā)展離不開能源的利用,但能源的使用伴隨著二氧化碳的排放,日益增長(zhǎng)的碳排放破壞了人類生存的環(huán)境,也成為了制約社會(huì)經(jīng)濟(jì)可持續(xù)發(fā)展的重要因素之一。因此,探究經(jīng)濟(jì)增長(zhǎng)和碳排放之間的關(guān)系,對(duì)碳排放進(jìn)行因素分解分析,研究經(jīng)濟(jì)增長(zhǎng)和影響因素之間的脫鉤關(guān)系對(duì)有效降低碳排放是十分必要的。本文首先運(yùn)用了IPCC估算方法對(duì)云南省工業(yè)部門2000-2014年的碳排放量進(jìn)行了估算,并對(duì)云南工業(yè)部門碳排放、經(jīng)濟(jì)增長(zhǎng)和能源消費(fèi)進(jìn)行了現(xiàn)狀分析,得到云南省工業(yè)部門碳排放呈逐年上升的趨勢(shì)、經(jīng)濟(jì)增長(zhǎng)趨勢(shì)較為穩(wěn)定、能源消費(fèi)結(jié)構(gòu)中原煤占據(jù)主要地位的結(jié)論;其次,本文在Kaya恒等式的基礎(chǔ)上,運(yùn)用LMDI分解方法對(duì)碳排放分別進(jìn)行了乘法分解和加法分解,將碳排放影響因素分解為工業(yè)碳排放強(qiáng)度、工業(yè)能源結(jié)構(gòu)、工業(yè)能源強(qiáng)度、產(chǎn)業(yè)結(jié)構(gòu)、經(jīng)濟(jì)產(chǎn)出、人口規(guī)模,最后均得到經(jīng)濟(jì)產(chǎn)出是對(duì)碳排放產(chǎn)生正向影響的主要因素,能源強(qiáng)度是對(duì)碳排放產(chǎn)生負(fù)向影響的主要因素,產(chǎn)業(yè)結(jié)構(gòu)和能源結(jié)構(gòu)也是減少云南省工業(yè)部門碳排放增加的重要因素;再次,本文在基于影響因素分解的方法上,先是對(duì)云南省工業(yè)部門碳排放總體和經(jīng)濟(jì)增長(zhǎng)之間分別構(gòu)建了OECD脫鉤模型和Tapio脫鉤模型,得到2000-2014年間,云南省工業(yè)部門經(jīng)濟(jì)增長(zhǎng)和碳排放之間總體上呈不脫鉤的趨勢(shì),個(gè)別年份呈現(xiàn)了脫鉤趨勢(shì),但近年來脫鉤狀態(tài)有所好轉(zhuǎn),在此基礎(chǔ)上,本文結(jié)合碳排放影響因素,分別與經(jīng)濟(jì)增長(zhǎng)構(gòu)建了Tapio脫鉤模型,得到不同的影響因素與經(jīng)濟(jì)增長(zhǎng)之間的脫鉤關(guān)系;最后,本文針對(duì)云南省工業(yè)部門不同碳排放影響因素,從經(jīng)濟(jì)結(jié)構(gòu)、能源結(jié)構(gòu)、能源強(qiáng)度和政府監(jiān)管四個(gè)方面提出了相關(guān)的政策建議。
[Abstract]:With the increasingly serious ecological environment, carbon emissions have become a focus of research today. Economic development can not do without the use of energy, but the use of energy accompanied by carbon dioxide emissions, increasing carbon emissions destroyed the environment for human survival. Therefore, to explore the relationship between economic growth and carbon emissions, to analyze the factors of carbon emissions, It is necessary to study the decoupling relationship between economic growth and influencing factors in order to reduce carbon emissions effectively. Firstly, this paper estimates the carbon emissions of Yunnan industrial sector from 2000 to 2014 by using IPCC estimation method. The current situation of carbon emissions, economic growth and energy consumption in Yunnan industrial sector is analyzed. The results show that the carbon emissions of Yunnan industrial sector are increasing year by year, and the economic growth trend is relatively stable. The conclusion that raw coal occupies the main position in the energy consumption structure. Secondly, based on the Kaya identity, the LMDI decomposition method is used to decompose the carbon emissions by multiplicative decomposition and additive decomposition, respectively. The factors affecting carbon emissions are divided into industrial carbon emission intensity, industrial energy structure, industrial energy intensity, industrial structure, economic output, population size, and finally, economic output is the main factor that has a positive impact on carbon emissions. Energy intensity is the main factor of negative impact on carbon emissions, industrial structure and energy structure is also an important factor to reduce the increase of carbon emissions in the industrial sector of Yunnan Province. Firstly, the OECD decoupling model and the Tapio decoupling model are constructed between the total carbon emission and the economic growth of Yunnan industrial sector, and the trend of no decoupling between the economic growth and the carbon emission in the industrial sector of Yunnan Province from 2000 to 2014 is obtained. There is a decoupling trend in some years, but the decoupling status has improved in recent years. On this basis, this paper constructs a decoupling model of Tapio with economic growth, combining with the factors of carbon emissions. The decoupling relationship between different influencing factors and economic growth is obtained. Finally, this paper aims at different factors of carbon emissions in the industrial sector of Yunnan Province, from the economic structure, energy structure, Four aspects of energy intensity and government regulation put forward relevant policy recommendations.
【學(xué)位授予單位】：云南財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：X22;F427

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 熊曦;;區(qū)域工業(yè)發(fā)展與碳排放的脫鉤關(guān)系分析——基于2006～2013年湖南的實(shí)際情況[J];財(cái)經(jīng)理論與實(shí)踐;2015年06期

2 方佳敏;林基;;中國工業(yè)行業(yè)經(jīng)濟(jì)增長(zhǎng)與二氧化碳排放的脫鉤效應(yīng)——基于工業(yè)行業(yè)數(shù)據(jù)的經(jīng)驗(yàn)證據(jù)[J];科技管理研究;2015年20期

3 劉堂發(fā);郭炳南;;江西省經(jīng)濟(jì)增長(zhǎng)與能源碳排放脫鉤關(guān)系的實(shí)證分析[J];科技管理研究;2015年13期

4 馮博;王雪青;;中國各省建筑業(yè)碳排放脫鉤及影響因素研究[J];中國人口·資源與環(huán)境;2015年04期

5 趙選民;卞騰銳;;基于LMDI的能源消費(fèi)碳排放因素分解——以陜西省為例[J];經(jīng)濟(jì)問題;2015年02期

6 馮宗憲;陳志偉;;區(qū)域能源碳排放與經(jīng)濟(jì)增長(zhǎng)的脫鉤趨勢(shì)分析[J];華東經(jīng)濟(jì)管理;2015年01期

7 周銀香;;交通業(yè)碳排放與行業(yè)經(jīng)濟(jì)增長(zhǎng)的響應(yīng)關(guān)系——基于“脫鉤”與“復(fù)鉤”理論和LMDI分解的實(shí)證分析[J];財(cái)經(jīng)論叢;2014年12期

8 劉其濤;;碳排放與經(jīng)濟(jì)增長(zhǎng)脫鉤關(guān)系的實(shí)證分析——以河南省為例[J];經(jīng)濟(jì)經(jīng)緯;2014年06期

9 楊良杰;吳威;蘇勤;杜志鵬;蔣曉威;;江蘇省交通運(yùn)輸業(yè)能源消費(fèi)碳排放及脫鉤效應(yīng)[J];長(zhǎng)江流域資源與環(huán)境;2014年10期

10 張玉梅;喬娟;;都市農(nóng)業(yè)發(fā)展與碳排放脫鉤關(guān)系分析——基于脫鉤理論的Tapio彈性分析法[J];經(jīng)濟(jì)問題;2014年10期

相關(guān)碩士學(xué)位論文 前4條

1 鄒海雙;云南省碳排放與經(jīng)濟(jì)增長(zhǎng)關(guān)系的研究[D];云南大學(xué);2015年

2 劉繼旺;云南能源消費(fèi)、經(jīng)濟(jì)增長(zhǎng)、碳排放關(guān)系研究[D];云南財(cái)經(jīng)大學(xué);2014年

3 王海婷;云南省低碳經(jīng)濟(jì)發(fā)展路徑研究[D];昆明理工大學(xué);2012年

4 慶東瑞;山西省低碳經(jīng)濟(jì)分部門脫鉤指標(biāo)建構(gòu)與評(píng)估[D];陜西師范大學(xué);2010年

，

本文編號(hào)：1506639