作者机构：
[Huang, Doudou; Song, Mingjie] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Paudel, Basanta] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.;[Paudel, Basanta] Nepal Geog Soc, Kathmandu 44600, Nepal.;[Paudel, Basanta] Geo Planet Res Ctr, Kathmandu 44619, Nepal.;[Paudel, Basanta] Inst Fundamental Res & Studies, Kathmandu 44600, Nepal.
通讯机构：
[Mingjie Song] C;College of Public Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
eco-compensation;payment for ecosystem services;ecological function areas;China
摘要：
China's National Key Ecological Function Areas (NKEFAs) provide important ecosystem services but lose significant development opportunities. An NKEFA consists of a few National Key Ecological Function Counties (NKEFCs). China's central government annually makes fiscal transfers to NKEFCs to compensate for their fiscal imbalance and ecosystem protection costs. The eco-compensation coefficient (ECC), together with the fiscal revenue and expenditure gap (FREG), determines the transfer payment, but the central government fails to provide practical methods for its estimation. This article proposes a framework for ECC estimation by integrating ecosystem service supply (ESS), ecosystem protection cost (EPC), and public service provision capability (PSC) of NKEFCs, and clarifies the criteria and indicators for ESS, EPC, and PSC evaluation. The framework was implemented in the Yangtze River Economic Belt (YZEB), and the results were compared with the payments in the current central-to-local fiscal transfer (CTLFT) system. The key findings and conclusions include: (1) The payment in the current CTLFT system mainly depends on the FREG rather than ESS and EPC of NKEFCs. (2) Some counties are notably under-compensated because their ESS or EPC are underestimated, or the province that administers them has a stronger fiscal capability. (3) The framework contributes to fair allocation and efficient use of eco-compensation payments by improving the ECC estimation method and identifying the main stressors and public service weaknesses in NKEFAs. This study gives the following policy implications: (1) Inner-provincial and cross-provincial watershed eco-compensation programs need to be developed to supplement the central-to-local eco-compensation program in the YZEB. (2) Environmental management strategies should be based on the characteristics of stressors and people's livelihood in NKEFAs.
期刊：
Sustainable Cities and Society,2023年88:104288 ISSN：2210-6707
通讯作者：
Xinhai Lu<&wdkj&>Bing Kuang
作者机构：
[Ke, Nan; Lu, Xinhai] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Kuang, Bing] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Zhang, Xupeng] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.
通讯机构：
[Xinhai Lu; Bing Kuang] C;College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China<&wdkj&>College of Public Administration, Central China Normal University, Wuhan 430079, China
摘要：
Carbon emission intensity (CEI) plays a crucial role in promoting urban green economy transition, which has attracted strong attention from scholars and society. However, the regional disparities and evolution trend of city-level CEI have not been yet fully investigated. This paper addresses this gap by exploring the regional disparities and evolution trend of China's city-level CEI from 2000 to 2017, based on nighttime light data and the methods of Dagum Gini coefficient, exploratory spatial data analysis (ESDA), kernel density estimation (KDE), and spatial Markov chains. The research results revealed that China's city-level CEI showed an obvious decline trend from 3.677 kgCO2/USD in 2000 to 1.696 kgCO2/USD in 2017. There are evident regional disparities of China's city-level CEI, and inter-regional disparities are the main source. China's city-level CEI shows a positive spatial autocorrelation, and there are obvious differences in the distribution rules of cities with different spatial agglomeration forms. Moreover, China's city-level CEI presents obvious polarization and siphon effect. This paper therefore formulates the differentiated urban green economy transition strategies based on the regional disparities and evolution trend of China's city-level CEI.
期刊：
Environmental Science and Pollution Research,2023年30(7):18213-18226 ISSN：0944-1344
通讯作者：
Lu, Xinhai;Zhang, Xupeng
作者机构：
[Ke, Nan; Lu, Xinhai; Zhang, Yanwei] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Zhang, Xupeng] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.;[Kuang, Bing] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Lu, Xinhai] C;[Zhang, Xupeng] S;College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, China.;School of Public Administration, China University of Geosciences, Wuhan, 430074, China.
关键词：
Carbon emission intensity;Urban land use;Spatiotemporal patterns;Evolution trend;Double carbon targets;China
期刊：
International Journal of Environmental Research and Public Health,2022年19(13):7960- ISSN：1661-7827
通讯作者：
Xinhai Lu
作者机构：
[Li, Jia; Lu, Xinhai; Hou, Jiao; Ke, Shangan] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Wu, Shiman] Wuhan Inst Technol, Sch Management, Wuhan 430205, Peoples R China.
通讯机构：
[Xinhai Lu] C;College of Public Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
green economic efficiency;urban land development intensity;interactive response
摘要：
The improvement of green economic efficiency (GEE) should be realized under reasonable urban land development intensity (ULDI). Improving GEE can also help alleviate the negative externalities of excessive or unreasonable ULDI. Clarifying the interactive response mechanism between GEE and ULDI is a key link in regional sustainable development. Therefore, this paper uses the super-efficiency slack-based model (SBM) method, panel entropy method, and panel vector auto regression model to comprehensively analyze the interactive response relationship between GEE and ULDI in 283 prefecture-level cities in China from 2003 to 2019. This paper finds that: (1) during the research period, both the GEE and ULDI showed a relatively obvious upward trend, which is manifested in the fact that ULDI increased year by year while GEE overall increased in volatility. The growth and evolution trend of ULDI and GEE has the characteristics of interaction and coordination; (2) there is a two-way interactive Granger causality between ULDI and GEE, showing a positive interactive response effect; and (3) both ULDI and GEE have positive inertial growth and self-enhancement mechanisms. In the long run, GEE has a greater impact on the change of ULDI.
作者机构：
[Cheng, Long] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.;[Liu, Chao] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Long Cheng] S;[Chao Liu] C;College of Public Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>School of Political Science and Public Administration, Shandong University, Qingdao 266237, China
关键词：
Ezhou;Link policy;Logistic-Markov-CA model;Transferable development rights;Urban growth
