Comparison on driving mechanism of county ecological efficiency: With three counties in the mountainous area of southern Ningxia, China as an example

doi:10.13287/j.1001-9332.202001.011

Abstract

Abstract: With Tongxin, Xiji, and Longde counties in the mountainous area of southern Ningxia as the research area, we used extended-exergy analysis (EEA) to compare their ecological efficiency driving mechanism in 2008-2017 to explore the causes of their variation in ecological degradation. The results showed that the overall difference of ecological efficiency in the three counties was significant during the study period. The ecological efficiency of Tongxin was low, with large inter-annual variation. The ecological efficiency of Xiji was stable, and the overall efficiency of Longde was the highest. The difference of exergy scale was small among the three counties. The exergy proportion in the economic sectors was not coordinated, which were dominated by agricultural and residential sectors. The economic sectors presented significant capital-pull-type and labor-intensive characteristics, indicating the driving force for ecological degradation mainly came from agricultural production and residents’ lives in underdeveloped regions. The system’s internal exergy conversion rate and the external energy exchange rate of the three counties were extremely low, constituting a simple network circulation path with high input, low storage, low opening and low conversion, which weakened the endogenous development of social economic subsystem and threatened the fragile ecosystem.

ZHOU Jun-jun, FAN Xin-gang, YANG Mei-ling, XIAO Cheng-quan, JIA Hong-li. Comparison on driving mechanism of county ecological efficiency: With three counties in the mountainous area of southern Ningxia, China as an example[J]. Chinese Journal of Applied Ecology, 2020, 31(1): 239-248.

References

[1] Shabani A, Torabipour SMR, Farzipoor Saen R, et al. Distinctive data envelopment analysis model for evaluating global environment performance. Applied Mathematical Modelling, 2015, 39: 4385-4404
[2] Egilmez G, Yong SP. Transportation related carbon, energy and water footprint analysis of U.S. manufacturing: An eco-efficiency assessment. Transportation Research Part D: Transport and Environment, 2014, 32: 143-159
[3] Hahn T, Figge F, Liesen A, et al. Opportunity cost based analysis of corporate eco-efficiency: A methodology and its application to the CO₂-efficiency of German companies. Journal of Environmental Management, 2010, 91: 1997-2007
[4] Arabi B, Munisamy S, Emrouznejad A, et al. Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist-Luenberger index measurement. Energy Policy, 2014, 68: 132-145
[5] 卢燕群, 袁鹏. 中国省域工业生态效率及影响因素的空间计量分析. 资源科学, 2017, 39(7): 1326-1337[Lu Y-Q, Yuan P. Measurement and spatial econometrics analysis of provincial industrial ecological efficiency in China. Resources Science, 2017, 39(7): 1326-1337]
[6] 王宝义, 张卫国. 中国农业生态效率的省级差异和影响因素:基于1996—2015年31个省份的面板数据分析. 中国农村经济, 2018(1): 46-60[Wang B-Y, Zhang W-G. Cross-provincial differences in determinants of agricultural eco-efficiency in China: An analysis based on panel data from 31 provinces in 1996-2015. Chinese Rural Economy, 2018(1): 46-60]
[7] 毕斗斗, 王凯, 王龙杰, 等. 长三角城市群产业生态效率及其时空跃迁特征. 经济地理, 2018, 3(1): 166-173[Bi D-D, Wang K, Wang L-J, et al. Research on industrial eco-efficiency and spatio-temporal transition characteristics of the Yangtze River Delta. Economic Geography, 2018, 3(1): 166-173]
[8] 任宇飞, 方创琳, 蔺雪芹. 中国东部沿海地区四大城市群生态效率评价. 地理学报, 2017, 72(12): 2047-2063[Ren Y-F, Fang C-L, Lin X-Q. Evaluation of eco-efficiency of four major urban agglomerations in eastern coastal area of China. Acta Geographica Sinica, 2017, 72(12): 2047-2063]
[9] 王雪, 施晓清. 基于投入产出表的北京市产业生态效率研究. 生态学报, 2018, 38(8): 2660-2671[Wang X, Shi X-Q. Industrial eco-efficiency of Beijing based on an input-output table. Acta Ecologica Sinica, 2018, 38(8): 2660-2671]
[10] 郭露, 徐诗倩. 基于超效率DEA的工业生态效率——以中部六省2003—2013年数据为例. 经济地理, 2016, 36(6): 116-121[Guo L, Xu S-Q. Industrial eco-efficiency with the integration super efficiency DEA: The central six provinces 2003-2013 data as an example. Economic Geography, 2016, 36(6): 116-121]
[11] 郑慧, 贾珊, 赵昕. 新型城镇化背景下中国区域生态效率分析. 资源科学, 2017, 39(7): 1314-1325[Zheng H, Jia S, Zhao X. An analysis of regional eco-efficiency in China under the background of new-type urbanization. Resources Science, 2017, 39(7): 1314-1325]
[12] 任宇飞, 方创琳. 京津冀城市群县域尺度生态效率评价及空间格局分析. 地理科学进展, 2017, 36(1): 88-98[Ren Y-F, Fang C-L. Spatial pattern and evaluation of eco-efficiency in counties of the Beijing-Tianjin-Hebei Urban Agglomeration. Progress in Geography, 2017, 36(1): 88-98]
[13] 韩增林, 吴爱玲, 彭飞, 等. 基于非期望产出和门槛回归模型的环渤海地区生态效率. 地理科学进展, 2018, 37(2): 255-265[Han Z-L, Wu A-L, Peng F, et al. Eco-efficiency in the Bohai Rim area based on undesirable outputs and threshold regression model. Progress in Geography, 2018, 37(2): 255-265]
[14] 方创琳, 任宇飞. 京津冀城市群地城镇化与生态环境近远程耦合能值代谢效率及环境压力分析. 中国科学: 地球科学, 2017, 47(7): 833-846[Fang C-L, Ren Y-F. Analysis of energy-based metabolic efficiency and environmental pressure on the local coupling and telecoupling between urbanization and the eco-environment in the Beijing-Tianjin-Hebei urban agglomeration. Science China Earth Sciences, 2017, 47(7): 833-846]
[15] 谷平华, 刘志成. 基于物质流分析的区域工业生态效率评价——以湖南省为例. 经济地理, 2017, 37(4): 141-148[Gu P-H, Liu Z-C. Evaluation of industrial eco-efficiency based on material flow analysis: As an example in Hunan Province. Economic Geography, 2017, 37(4): 141-148]
[16] 史丹, 王俊杰. 基于生态足迹的中国生态压力与生态效率测度与评价. 中国工业经济, 2016(5): 5-21[Shi D, Wang J-J. Measurement and evaluation of China’s ecological pressure and ecological efficiency based on ecological footprint. China Industrial Economics, 2016(5): 5-21]
[17] 郭付友, 佟连军, 魏强, 等. 松花江流域(吉林省段)产业系统生态效率时空分异特征与影响因素. 地理研究, 2016, 35(8): 1843-1494[Guo F-Y, Tong L-J, Wei Q, et al. Spatial-temporal differentiation and influencing factors of industrial system eco-efficiency in the Songhua River Basin of Jilin Province. Geographical Research, 2016, 35(8): 1843-1494]
[18] Sciubba E, Bastianoi S, Tiezzi E. Exergy and extended exergy accounting of very large complex systems with an application to the province of Siena, Italy. Journal of Environmental Management, 2008, 86: 372-382
[19] 陈彬. 生态火用理论及其在黄河流域生态模拟中的应用. 博士论文. 北京: 北京大学, 2004[Chen B. Eco-exergy Theory and Its Application in Ecological Simulation of the Yellow River. PhD Thesis. Beijing: Peking University, 2004]
[20] 季曦. 生态经济的热力学(火用)值理论及其在城市系统模拟和调控中的应用. 博士论文. 北京: 北京大学, 2008[Ji X. The Thermodynamics of Ecological Economy (Exergy) Value Theory and Its Application in System Simulation and Control in the City. PhD Thesis. Beijing: Peking University, 2008]
[21] 樊新刚, 米文宝, 侯景伟. 扩展火用方法在区域生态经济驱动机制及效率研究中的应用. 应用生态学报, 2017, 28(1): 273-280[Fan X-G, Mi W-B, Hou J-W. Application of extended exergy method in driving mechanism and efficiency of regional eco-economy. Chinese Journal of Applied Ecology, 2017, 28(1): 273-280]
[22] 孟伟庆, 莫训强, 李洪远, 等. 基于扩展火用耗模型的可持续发展水平区域空间差异——以中国31个省市为数据源. 生态学报, 2019, 39(5): 1701-1714[Meng W-Q, Mo X-Q, Li H-Y, et al. Spatial difference in the sustainable development level based on extended exergy analysis: Based on the data resources of Chinese 31 provinces and cities. Acta Ecologica Sinica, 2019, 39(5): 1701-1714]
[23] Ertesvage IS. Energy, exergy, and extended-exergy analysis of the Norwegian Society 2000. Energy, 2005, 30: 649-675
[24] Chen B, Chen GQ. Exergy analysis for resource conversion of the Chinese society 1993 under the materialpro-duct system. Energy, 2006, 31: 1115-1150
[25] Jorgensen SE. Description of aquatic ecosystems deve-lopment by exo-exergy and exergy destruction. Ecological Modelling, 2007, 204: 22-28
[26] Chen GQ, Qi ZH. Systems account of societal exergy utilization: China 2003. Ecological Modelling, 2007, 208: 102-118
[27] Seckin C, Sciubba E, Bayulken AR. An application of the extended exergy accounting method to the Turkish society, year 2006. Energy, 2012, 40: 151-163
[28] Szargut J. Chemical exergies of the elements. Applied Energy, 1989, 32: 269-286
[29] Morris DR, Szargut J. Standard chemical exergy of some elements and compounds on the planet earth. Energy, 1986, 11: 733-755
[30] 宁夏回族自治区统计局. 宁夏统计年鉴. 北京: 中国统计出版社, 2009-2018[Statistical Bureau of Ningxia Hui Autonomous Region. Statistical Yearbook of Ningxia. Beijing: China Statistic Press, 2009-2018]
[31] 同心县、西吉县和隆德县统计局. 同心县、西吉县和隆德县经济要情手册. 同心县、西吉县、隆德县: 同心县、西吉县和隆德县统计局, 2009-2018[Statistical Bureau of Tongxin County, Xiji County and Longde County. Main Economic Data Handbook. Tongxin, Xiji, Longde: Statistical Bureaus of Tongxin, Xiji and Longde Counties, 2009-2018]
[32] 樊新刚. 宁夏限制开发生态区生态经济系统协调发展研究. 博士论文. 银川: 宁夏大学, 2015[Fan X-G. Coordinated Development of Eco-economic System in Limited Developing Ecological Zone of Ningxia. PhD Thesis. Yinchuan: Ningxia University, 2015]
[33] 宁夏回族自治区统计局. 宁夏能源统计资料汇编. 银川:宁夏回族自治区统计局, 2008-2018[Statistical Bureau of Ningxia Hui Autonomous Region. Energy Statistical Data Collection of Ningxia Hui Autonomous Region. Yinchuan: Statistical Bureau of Ningxia Hui Autonomous Region, 2008-2018]
[34] 黄丽卿. 经济-生态系统的资源积累火用消费分析. 博士论文. 北京: 清华大学, 2007[Huang L-Q. (Exergy) Consumption Analysis of Resource Accumulation in Eco-Economic Ecosystem. PhD Thesis. Beijing: Tsinghua University, 2008]
[35] Jahangir S, Chen B, Wakeel M. Extended exergy ac-counting for Karachi. Energy Procedia, 2016, 88: 52-57
[36] Sciubba E. A revised calculation of the econometric factors α-and β for the extended exergy accounting method. Ecological Modelling, 2011, 222: 1060-1066
[37] Uday N. Thermodynamic Input-output Analysis of Economic and Ecological Systems for Sustainable Engineering. PhD Thesis. Columbus, OH, USA: Ohio State University, 2005
[38] Chen GQ, Chen B. Extended-exergy analysis of the Chinese society. Energy, 2009, 34 :1127-1144
[39] 李惠梅, 张安录. 生态环境保护与福祉. 生态学报, 2013, 33(3): 825-833[Li H-M, Zhang A-L. Ecological protection and well-being. Acta Ecologica Sinica, 2013, 33(3): 825-833]
[40] 魏建洲, 刘彦平, 张锋, 等. 生态建设工程中利益主体间的博弈模型——以政府主导的退耕还林还草工程为例. 中国沙漠, 2016, 36(3): 836-841[Wei J-Z, Liu Y-P, Zhang F, et al. Game model of interest subject in ecological construction projects: A case study of government-led turning cultivated land back into forests and grassland project. Journal of Desert Research, 2016, 36(3): 836-841]
[41] 杨君珑, 刘小龙, 李帆, 等. 六盘山生态移民迁出区不同植被恢复模式土壤微生物功能多样性研究. 生态环境学报, 2018, 27(12): 2193-2199[Yang J-L, Liu X-L, Li F, et al. Effects of different vegetation restoration models on soil microbial functional diversity in eco-emigration area of Liupan Mountains. Ecology and Environmental Sciences, 2018, 27(12): 2193-2199]
[42] 周李磊, 官冬杰, 袁兴中. 精准扶贫视角下生态系统服务与贫困人口生计耦合关联分析. 生态学报, 2018, 38(18): 6391-6401[Zhou L-L, Guan D-J, Yuan X-Z. Coupling correlation analysis of ecosystem services and livelihoods in the perspective of targeted poverty alleviation. Acta Ecologica Sinica, 2018, 38(18): 6391-6401]
[43] 丁绪辉, 王柳元, 贺菊花. 乡村振兴战略下考虑生态环境效应的区域农业创新系统效率研究. 科技管理研究, 2018, 38(24): 230-237[Ding X-H, Wang L-Y, He J-H. The innovation system efficiency of regional agriculture and the driving factors considering eco-environmental effects under rural revitalization strategy. Science and Technology Management Research, 2018, 38(24): 230-237]