基于云模型的黑龙江省煤炭产业低碳业绩评价  被引量:3

Evaluation of coal industrial low-carbon performance in Heilongjiang province based on cloud model

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作  者:赵淑英[1,2] 何丽霞[2] 刘利[3] 

机构地区:[1]辽宁大学经济学院,辽宁沈阳110000 [2]黑龙江科技大学经济学院,黑龙江哈尔滨150027 [3]黑龙江科技大学财务处,黑龙江哈尔滨150027

出  处:《中国矿业》2014年第5期61-66,共6页China Mining Magazine

基  金:黑龙江省哲学社会科学规划项目"黑龙江省煤炭企业低碳经济发展路径及政府政策取向"资助(编号:10B052);黑龙江省教育厅人文社会科学项目"低碳经济下黑龙江省煤炭开采企业战略经营业绩评价云模型"资助(编号:12522266)

摘  要:煤炭领域是发展低碳经济的重点领域,根据煤炭产业发展低碳经济的要求,本文重点引入碳减排技术指标和减量化、再利用、资源化指标,构建了煤炭产业低碳业绩评价指标体系。基于云模型的客观性、科学性和具体性,采用云模型评价法对黑龙江省煤炭产业低碳业绩进行了综合评价,最终评判值为0.3889,倾向于"差"。对评价结果进行分析,显示制约黑龙江省煤炭产业发展低碳经济的主要因素为:煤炭资源开采利用不合理,资源浪费严重;产品结构单一,煤炭转化水平和综合利用率过低;煤炭资源开发、综合利用技术落后,影响后续发展;低碳经济发展资金投入困难等等。评价结果为政府制定和实施煤炭产业发展低碳经济政策提供了依据。Coal sector is the key sector to develop low-carbon economy .According to the requirement for coal industry to develop low-carbon economy ,by introducing technological indicators of carbon emission reduction and indicators of reducing , reusing , and recycling , the low-carbon performance evaluation indicator system of coal industry was established herein .Based on the objective ,scientific and concrete cloud model ,comprehensive evaluation on the low-carbon performance of coal industry in Heilongjiang Province was made by cloud model evaluation method .And the final evaluation value was 0 .3889 ,tending to be poor .Finally ,the evaluation results were analyzed and the main factors were identified restricting low-carbon economy development of coal industry in Heilongjiang Province ,which are unreasonable mining and utilization of coal resources ,serious resource waste ,single product structure ,low coal conversion level and comprehensive utilization rate ,outdated coal resource development and comprehensive utilization technology impacting the development in the future ,and difficulty in financing low-carbon economy development .This paper will provide theoretical evidence and reference for government to make and implement the policies to develop low-carbon economy .

关 键 词:煤炭产业 低碳经济 云模型 业绩评价 

分 类 号:F406.3[经济管理—产业经济]

 

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