黄河中下游地区主要省份低碳经济发展水平的时空差异研究

doi:10.11820/dlkxjz.2013.04.002

地理科学进展 ›› 2013, Vol. 32 ›› Issue (4): 505-513.doi: 10.11820/dlkxjz.2013.04.002

黄河中下游地区主要省份低碳经济发展水平的时空差异研究

王喜^1,2,3, 秦耀辰^1,2,3, 鲁丰先^1,2,3, 张黛^1,2,3, 姜向亚^1,2,3

1. 河南大学黄河文明与可持续发展研究中心,开封475004;
2. 河南大学环境与规划学院,开封475004;
3. 河南大学黄河中下游数字地理技术实验室,开封475004

收稿日期:2012-07-01 修回日期:2012-12-01 出版日期:2013-04-25 发布日期:2013-04-25
作者简介:王喜(1973-),男,博士,副教授,主要从事区域模型与信息系统、低碳经济等研究。E-mail:wangxi@henu.edu.cn
基金资助:
教育部人文社会科学重点研究基地重大项目(10JJDZONGHE015);国家自然科学基金项目(41171438);河南省教育厅人文社会科学研究项目(2012-JD-013)。

Temporal and spatial differences in the level of low carbon economic development among the provinces in the middle and lower reaches of the Yellow River Basin

WANG Xi^1,2,3, QIN Yaochen^1,2,3, LU Fengxian^1,2,3, ZHANG Dai^1,2,3, JIANG Xiangya^1,2,3

1. The Center for Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475004, China;
2. The College of Environment and Planning, Henan University, Kaifeng 475004, China;
3. Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China

Received:2012-07-01 Revised:2012-12-01 Online:2013-04-25 Published:2013-04-25

摘要/Abstract

摘要： 低碳经济发展评价及其时空差异研究是低碳经济研究从理论阶段向应用阶段转移的重要步骤,建立低碳经济发展水平评价指标体系的实质就是确定低碳经济发展的具体内容及考核的标准体系,可为低碳经济发展和调控提供必要的理论支撑。本文参考DPSIR模型,选取碳排放强度、人均碳排放等25个指标,构建了基于PSIR模型的低碳经济发展评价指标体系,对黄河中下游地区的主要省份(陕西省、山西省、河南省、河北省、山东省)1991-2010年的低碳经济发展水平及其时空差异进行研究。研究结果表明,在时间维上,研究区内各省份总体上是朝着低碳经济的方向发展,但也存在一定的波动;在空间维上,各省份的低碳经济发展水平差异较大,山东省低碳经济发展水平最高,而山西省、河南省低碳经济发展水平相对较低;除压力子系统外,其他各子系统与低碳经济发展水平之间存在着极为显著(或高度)的正相关。从影响低碳经济发展的因素看,影响子系统、压力子系统变化的贡献率最大,而技术进步等因素的贡献率相对较小。

关键词: PSIR模型, 低碳经济评价, 黄河中下游, 时空变化

Abstract: Evaluation of the levels of low carbon economic development and the investigation of their spatial differences are an important step from basic (theoretical) to applied (practical) research on low carbon economy. The essence of establishing an evaluation index system is to specify the content of low carbon development in details and a criterion system for assessment in order to provide necessary theoretical support for low carbon economic development and its regulation. With reference to DPSIR (driving forces-pressure-state-impact-response) model, using carbon emission intensity, per capita carbon emission, etc. among 25 indices, an evaluation index system based on PSIR model was established to study the levels of low carbon development and their temporal and spatial differences for the major provinces in the middle and lower reaches of the Yellow River Basin from 1991 to 2010. The results indicate that, in the region under study, temporally all provinces are progressing toward low carbon economy with fluctuations; spatially the levels of the development in different provinces vary, with the highest level in Shandong and relatively lower levels in Shanxi and Henan. But the progress is faster in the provinces with lower levels of low carbon economy. With regard to the impacting factors, with the exception of pressure sub-system, all other sub-systems show highly positive correlation with low carbon economic development, with variations in the different areas of the region. In general, changes of the pressure sub-system have greatest impact on low carbon economic development, suggesting that carbon emission intensity is being continuously lowered, industrial structure continuously optimized, and the pressure on resources and the environment reduced. However, the contribution of technological progress to low carbon economic development is relatively small.

Key words: evaluation of low carbon economy, PSIR model, temporal and spatial changes, the middle and lower reaches of the Yellow River Basin

王喜, 秦耀辰, 鲁丰先, 张黛, 姜向亚. 黄河中下游地区主要省份低碳经济发展水平的时空差异研究[J]. 地理科学进展, 2013, 32(4): 505-513.

WANG Xi, QIN Yaochen, LU Fengxian, ZHANG Dai, JIANG Xiangya. Temporal and spatial differences in the level of low carbon economic development among the provinces in the middle and lower reaches of the Yellow River Basin[J]. PROGRESS IN GEOGRAPHY, 2013, 32(4): 505-513.

参考文献

Dong X H, Wang X, Chen L. 2008. Research summary for the theory of Cobb-Douglas Production Function. Productivity Research, (3): 28-32. [董晓花, 王欣, 陈利. 2008. 柯布 —道格拉斯生产函数理论研究综述. 生产力研究, (3): 28-32.]
Feng B M. 2011. Study on the construction of low-carbon economy evaluation in Hubei Province. China Population, Resource and Environment, 21(3): 54-58. [冯碧梅. 2011. 湖北省低碳经济评价指标体系构建研究. 中国人口·资源与环境, 21(3): 54-58.]
Fu J F, Zhuang G Y, Gao Q X. 2010. Conceptual identification and evaluation index system for low carbon economy. China Population, Resource and Environment, 20(8): 38-43. [付加锋, 庄贵阳, 高庆先. 2010. 低碳经济的概念辨识及评价指标体系构建. 中国人口·资源与环境, 20 (8): 38-43.]
Fu J F, Zheng L C, Cheng X L. 2011. China's low-carbon economic development: An inter-provincial and international comparison. Resource Science, 33(4):664-674. [付加锋, 郑林昌, 程晓凌. 2011. 低碳经济发展水平的国内差异与国际差距评价. 资源科学, 33(4): 664-674.]
Kalnay E, Cai M. 2003. Impact of urbanization and land-use change on climate. Nature, 423: 528-531.
Li X Y. 2010. An exploration of low-carbon economy of provinces based on fuzzy analytic hierarchy process. East China Economic Management, 24(2): 24-28. [李晓燕. 2010. 基于模糊层次分析法的省区低碳经济评价探索. 华东经济管理, 24(2): 24-28.]
Li X Y, Deng L. 2010. The research for city's low carbon economic comprehensive evaluation: As a case to municipalities directly under the central government. Modern Economic Research, (2): 82-85. [李晓燕, 邓玲. 2010. 城市低碳经济综合评价探索: 以直辖市为例. 现代经济探讨, (2): 82-85.]
Liu H G, Liu W D. 2009. Decomposition of energy-induced CO₂ emissions in industry of China. Progress in Geography, 28(2): 285-292. [刘红光, 刘卫东. 2009. 中国工业燃烧能源导致碳排放的因素分解. 地理科学进展, 28(2): 285-292.]
Liu H G, Liu W D, Tang Z P. 2010. The origin source and its elasticity analysis of the CO₂ emission induced by fossil fuel using industrial activities in China. Progress in Geography, 29(6): 670-676. [刘红光, 刘卫东, 唐志鹏. 2010. 中国产业能源消费碳排放结构及其减排敏感性分析. 地理科学进展, 29(6): 670-676.]
Liu Z, Geng Y, Xue B, et al. 2011. Low-carbon city's quantitative assessment indicator framework based on decoupling mode. China Population, Resource and Environment, 21 (4): 19-24. [刘竹, 耿涌, 薛冰, 等. 2011. 基于“脱钩”模式的低碳城市评价. 中国人口·资源与环境, 21(4): 19-24.]
Qin Y C, Zhang L J, Lu F X, et al. 2010. Progresses of low-carbon city research. Progress in Geography, 29(12): 1459-1469. [秦耀辰, 张丽君, 鲁丰先, 等. 2010. 国外低碳城市研究进展. 地理科学进展, 29(12): 1459-1469.]
Shao C F, Ju M T. 2010. Study of the index system of low-carbon cities based on DPSIR model. Ecological Economy, (10): 95-99. [邵超峰, 鞠美庭. 2010. 基于DPSIR 模型的低碳城市指标体系研究. 生态经济, (10): 95-99.]
Sun X R, Shao C F. 2010. Study on the variation trends of regional environmental risk for Tianjin Binhai new area based on DPSIR model. Research of Environmental Sciences, 23(1): 68-73. [孙晓蓉, 邵超峰. 2010. 基于DPSIR 模型的天津滨海新区环境风险变化趋势分析. 环境科学研究, 23(1): 68-73.]
Svarstad H, Petersen L K, Rothman D, et al. 2008. Discursive biases of the environmental research framework DPSIR. Land Use Policy, 25(1):116-125
Tang X F, Lu C X, An K. 2011. Development levels of low-carbon economy at provincial scales in China. Resource Science, 33(4): 612-619. [唐笑飞, 鲁春霞, 安凯.2011. 中国省域尺度低碳经济发展综合水平评价. 资源科学, 33(4): 612-619.]
Tapio P. 2005. Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12(2): 137-151.
The research group for 2050 China energy and CO₂ emissions. 2009. 2050 China energy and CO₂ emissions report. Beijing, China: Science Press. [2050 中国能源和碳排放研究课题组. 2009. 中国城市化战略的低碳之路: 2050 中国能源和碳排放报告. 北京: 科学出版社.]
Wang X L, Gu J L, Zheng L, et al. 2011. An exploration of low-carbon economy of provinces based on variable fuzzy evaluation. Ecological Economy, (2): 24-28. [王小李, 谷建龙, 郑丽, 等. 2011. 基于可变模糊分析的省区低碳经济评价体系探索. 生态经济: 学术版, (2): 24-28.]
Zhang L J, Qin Y C, Zhang J P, et al. 2012. Evolution mechanisms of industrial CO₂ emissions and its decoupling analysis in Zhengzhou-Kaifeng metropolitan area. Progress in Geography, 31(4): 426-434. [张丽君, 秦耀辰, 张金萍, 等. 2012. 郑汴都市区产业CO₂排放演变机理及脱钩分析. 地理科学进展, 31(4): 426-434.]
Zheng L C, Fu J F, Li J S. 2011. Evaluation on the development level and spatial progress of low-carbon economy at provincial scale in China. China Population, Resource and Environment, 21(7): 80-85. [郑林昌, 付加锋,李江苏. 2011. 中国省域低碳经济发展水平及其空间过程评价. 中国人口·资源与环境, 21(7): 80-85.]
Zhuang G Y, Pan J H, Zhu S X. 2011. The connotation and construction for comprehensive evaluation indicator system of low carbon economic. Economic Perspectives, (1): 132-136. [庄贵阳, 潘家华, 朱守先. 2011. 低碳经济的内涵及综合评价指标体系构建. 经济学动态, (1): 132-136.]

[1]	孙艺杰, 刘宪锋, 任志远, 段艺芳. 1960—2016年黄土高原干旱和热浪时空变化特征[J]. 地理科学进展, 2020, 39(4): 591-601.
[2]	段倩雯, 谈明洪. 国内外大城市的城市森林时空变化对比研究[J]. 地理科学进展, 2020, 39(3): 410-419.
[3]	刘洋, 吕建树, 毕军. 流域陆地生态系统水体净化服务表征及驱动力分析[J]. 地理科学进展, 2019, 38(4): 588-599.
[4]	吴其慧, 李畅游, 孙标, 史小红, 赵胜男, 韩知明. 1986—2017年呼伦湖湖冰物候特征变化[J]. 地理科学进展, 2019, 38(12): 1933-1943.
[5]	李久枫, 余华飞, 付迎春, 赵耀龙. 广东省“人口—经济—土地—社会—生态”城市化协调度时空变化及其聚类模式[J]. 地理科学进展, 2018, 37(2): 287-298.
[6]	刘丹丽, 汪侠, 吴小根, 何静, 段志勇. 全球贫困国家旅游竞争力与经济发展的耦合协调度及时空变化[J]. 地理科学进展, 2018, 37(10): 1381-1391.
[7]	赵燊, 陈少辉. 基于台站和MOD16数据的山东省蒸散及潜在蒸散时空变化[J]. 地理科学进展, 2017, 36(8): 1040-1047.
[8]	赵卓文, 张连蓬, 李行, 王永香, 王胜利. 基于MOD13Q1数据的宁夏生长季植被动态监测[J]. 地理科学进展, 2017, 36(6): 741-752.
[9]	李元征, 尹科, 周宏轩, 王晓琳, 胡聃. 基于遥感监测的城市热岛研究进展[J]. 地理科学进展, 2016, 35(9): 1062-1074.
[10]	王喜, 鲁丰先, 秦耀辰, 孙艳芳. 河南省碳源碳汇的时空变化研究[J]. 地理科学进展, 2016, 35(8): 941-951.
[11]	黄浠, 王中根, 桑燕芳, 杨默远, 刘晓聪, 巩同梁. 雅鲁藏布江流域不同源降水数据质量对比研究[J]. 地理科学进展, 2016, 35(3): 339-348.
[12]	李双双, 杨赛霓, 刘宪锋. 1960-2013年秦岭—淮河南北极端降水时空变化特征及其影响因素[J]. 地理科学进展, 2015, 34(3): 354-363.
[13]	夏浩铭, 李爱农, 赵伟, 边金虎, 雷光斌. 2001-2010年秦岭森林物候时空变化遥感监测[J]. 地理科学进展, 2015, 34(10): 1297-1305.
[14]	廖谌婳, 封志明, 李鹏, 张景华. 中南半岛森林覆被变化研究进展[J]. 地理科学进展, 2014, 33(6): 853-864.
[15]	张晓峰, 王宏志, 刘洛, 徐新良. 近50年来气候变化背景下中国大豆生产潜力时空演变特征[J]. 地理科学进展, 2014, 33(10): 1414-1423.

黄河中下游地区主要省份低碳经济发展水平的时空差异研究

Temporal and spatial differences in the level of low carbon economic development among the provinces in the middle and lower reaches of the Yellow River Basin

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0