%0 Journal Article %T “双碳”目标约束下的辽宁省房地产业碳排放测算及减排政策研究
Research on the Calculation and Emission Reduction Policy of Carbon Emissions from the Real Estate Industry in Liaoning Province under the Constraint of the “Dual Carbon” Goal %A 郑滨潇 %A 袁建林 %A 姜琦蕾 %J Urbanization and Land Use %P 153-162 %@ 2332-791X %D 2024 %I Hans Publishing %R 10.12677/ulu.2024.123018 %X 文章对辽宁省房地产业2012年到2021年碳排放进行研究，首先运用排放因子法对辽宁省房地产业碳排放量进行测算，其次建立STIRPAT模型，选择岭回归的方法对各变量对辽宁省房地产业碳排放的影响进行定量分析，最后定量评价了不同针对性的减排政策。研究结果表明：辽宁省城镇化率、居民人均消费水平、第三产业增加值、产业结构对房地产业碳排放的影响为负向；辽宁省房地产业能源强度、辽宁省房地产业碳排放强度的影响为正向。结论表明，在辽宁省城镇化进程中，政府加强对房地产的调控及房地产业的产业结构进行升级，提高技术能力，选择能源类型并对能源进行合理利用，并且对居民宣传低碳节能的消费观念，对推进辽宁省房地产业碳减排具有重要意义。
The article studies the carbon emissions of the real estate industry in Liaoning Province from 2012 to 2021. Firstly, the emission factor method is used to calculate the carbon emissions of the real estate industry in Liaoning Province. Secondly, the STIRPAT model is established, and the ridge regression method is selected to quantitatively analyze the impact of various variables on the carbon emissions of the real estate industry in Liaoning Province. Finally, different targeted emission reduction policies are quantitatively evaluated. The research results indicate that the urbanization rate, per capita consumption level of residents, added value of the tertiary industry, and industrial structure in Liaoning Province have a negative impact on carbon emissions from the real estate industry; the energy intensity of the real estate industry in Liaoning Province and the carbon emission intensity of the real estate industry in Liaoning Province have a positive impact. The conclusion indicates that in the process of urbanization in Liaoning Province, the government has strengthened its regulation of real estate and upgraded the industrial structure of the real estate industry, improved technological capabilities, selected energy types and utilized energy reasonably, and promoted low-carbon and energy-saving consumption concepts to residents. This is of great significance for promoting carbon reduction in the real estate industry in Liaoning Province. %K 房地产业， %K 碳排放， %K STIRPAT模型， %K 岭回归
Real Estate Industry %K Carbon Emissions %K STIRPAT Model %K Ridge Regression %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=95735