Carbon Balance and Management最新文献

{"title":"Centralized resource allocation with technological progress under a meta-frontier framework: towards China's \"Energy-economy-emission\" optimization.","authors":"Fei Yang, Haitao Xiong","doi":"10.1186/s13021-026-00473-x","DOIUrl":"https://doi.org/10.1186/s13021-026-00473-x","url":null,"abstract":"<p><p>Efficient resource allocation is crucial for promoting economic growth and reducing carbon emissions in China. This study develops a new centralized resource allocation approach based on data envelopment analysis (DEA). It incorporates technological progress into the environmental production possibility set and further extends it to a technological heterogeneity setting under a meta-frontier framework. The environmental efficiency of each decision-making unit is encouraged to achieve its future group frontier. The advantage of the proposed method is that, it enhances the forward-looking nature of decision-making, explicitly captures technological heterogeneity within the allocation framework, and improves the incentive compatibility of target setting while maintaining feasibility. It is then applied to optimize China's \"energy-economy-emissions\" system. The results show that the optimal interprovincial allocation of energy consumption and labor can increase the aggregate economic output of the 30 provinces by 6.95% relative to 2023, while generating a carbon reduction potential of 5,681.17 million tons. In addition, optimal allocation combined with appropriate incentives could further raise economic output in 2024 by 1.8% and reduce emissions by 47.19%. Severe labor misallocation is found between the eastern and central regions. Sensitivity analysis further suggests that policymakers should place moderately greater weight on economic development than on emission reduction. Several managerial implications are derived accordingly.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trend of fishery carbon sink in Chinese bivalve aquaculture from 2004 to 2023.","authors":"Karsoon Tan, Leiheng Huang, Cong Luo, Zexin Li, KhaiHang Choong, Baoling Xie, Xueyu Yan, Ardavan Farhadi","doi":"10.1186/s13021-026-00472-y","DOIUrl":"https://doi.org/10.1186/s13021-026-00472-y","url":null,"abstract":"<p><p>Climate change is a global issue that requires immediate attention. In order to achieve carbon neutrality as outlined in the Paris Agreement of 2015, in addition to reducing carbon dioxide (CO₂) emissions, promoting blue carbon sinks is equally important. Fishery carbon sink (FCS), especially from bivalve aquaculture, have received increasing attention as bivalves not only store carbon in their flesh and shells, but also promote carbon storage in the aquaculture environment. Unlike previous studies that focused on localized assessments or used outdated carbon budget models, this study was conducted to analyze the trend of fishery carbon sinks from bivalve aquaculture in China (the largest producer of farmed bivalves) over the past two decades using the refined carbon budget model that integrates both carbon removal (flesh and shells) and carbon storage (biodeposits and excretion). In general, the results of this study revealed that the contribution of bivalve aquaculture to FCS has increased significantly with rising bivalve production. Oysters and clams are the most farmed bivalves, with Shandong and Fujian provinces being the largest farmed bivalve producers. From 2004 to 2023, bivalve aquaculture in China contributed to 15 million tonnes of net carbon sink, and is expected to produce over 1 million tonnes of net carbon sink per year from 2024 onwards. The findings of this study not only advance our knowledge of the current trend of FCS in China, but also provide important information to promote the development of carbon trading.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148337307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The synergy and regional differences between the development of new urbanization and zero-carbon strategy: Evidence from China.","authors":"Xin Wen, Jiaxin Wen, Zhibo Yu","doi":"10.1186/s13021-026-00478-6","DOIUrl":"https://doi.org/10.1186/s13021-026-00478-6","url":null,"abstract":"<p><p>Urbanization serves as an engine for economic development, yet the risk of \"carbon lock-in\" caused by infrastructure and consumption patterns threatens long-term sustainability. Studying the synergistic effects and regional differences between China's new urbanization (NU) and zero-carbon strategies (ZCS) is a crucial economic and social issue for China to participate in global climate governance and achieve urban modernization. This study systematically analyzed the evolution law and regional differences of the coupling coordination degree (CCD) between NU and TFCEE by employing the entropy-weighted TOPSIS method, coupling coordination model, Dagum-Gini coefficient, and convergence model. The findings are as follows: (1) The coupling coordination level (CCL) between NU and Total-factor carbon emission efficiency (TFCEE) has been increasing year by year, with the eastern region taking the lead in forming intermediate coordination and maintaining a leading position; (2) In terms of intra-regional differences, the CCL in the eastern, central, and northeastern regions exhibit a fluctuating decline, whereas those in the western region demonstrate a fluctuating increase. In terms of inter-regional differences, the disparity between the eastern and western regions (east-west) stands out as the most prominent. Here, inter-regional variations play a primary role in accounting for the overall inequalities; (3) In the σ-convergence and β-convergence analyses, the spatial imbalance in the western region is more pronounced, indicating that although the western region has shown a positive catch-up effect, the absolute gap with the eastern region has not yet narrowed due to differences in initial conditions. In general, the CCD between NU and TFCEE is gradually optimizing, but the spatial imbalance remains prominent, especially in the western region, which urgently needs to be improved through targeted policy guidance.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148306553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Memoriam: Academician George S. Golitsyn (1935–2026)","authors":"Georgii Alexandrov,&nbsp;Yiping Wu","doi":"10.1186/s13021-026-00468-8","DOIUrl":"10.1186/s13021-026-00468-8","url":null,"abstract":"<div><p>We regret to announce the death on May 6, in his ninety-first year, of Academician George S. Golitsyn, a member of the Editorial Board who was among the leading scientists supporting the establishment of <i>Carbon Balance and Management</i> in 2006.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"21 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s13021-026-00468-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148300567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Winner takes all? Understanding the impact of energy transition on employment under the constraint of China’s carbon peak target","authors":"Jianhui Cong,&nbsp;Rui Li,&nbsp;Weiqiang Zhang","doi":"10.1186/s13021-026-00475-9","DOIUrl":"10.1186/s13021-026-00475-9","url":null,"abstract":"<div><p>Achieving carbon peak and carbon neutrality requires not only reducing emissions but also managing the macroeconomic side effects of the energy transition. This study examines employment reallocation as a carbon transition management problem rather than as a conventional labor market performance issue. We develop an integrated multi-regional input-output (MRIO) and multi-objective optimization model to simulate how China’s carbon peak constrained energy transition reshapes formal labor demand across 42 sectors and 31 provinces. The novelty of this study lies in linking a theoretical mechanism of capital biased energy transition with a detailed interregional production network, thereby identifying where the social costs of decarbonization are likely to concentrate. Our results show that although the transition increases aggregate employment, it generates a clear “winner takes all” pattern. Employment gains are captured mainly by economically developed coastal regions and high value added service and power related sectors, while less developed inland and resource dependent regions face severe losses. Shanxi, a typical coal dependent province, could lose nearly 10% of formal employment opportunities, and job growth in renewables is insufficient to fully offset losses in traditional fossil fuel and power industries. These findings provide policy relevant evidence for carbon management by showing that carbon peak pathways must be evaluated not only by emission outcomes but also by their spatial and sectoral employment risks.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"21 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s13021-026-00475-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148300549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The spatiotemporal distribution and multi-scenarios for land use carbon metabolism: simulation and carbon reduction from the production-living-ecological space perspective.","authors":"Tian Chao, Wang WenHui, Zhao JinTao","doi":"10.1186/s13021-026-00477-7","DOIUrl":"https://doi.org/10.1186/s13021-026-00477-7","url":null,"abstract":"<p><p>A comprehensive understanding of land use carbon metabolism characteristics from the production-living-ecological space (PLES) perspective is crucial for formulating carbon reduction strategies. As the core economic zone of northern China, the Beijing-Tianjin-Hebei (BTH) region faces severe carbon emission pressures due to rapid urbanization and intensive land use transformation. However, focusing solely on carbon metabolism calculation without considering future changes and optimization effects may prevent achieving carbon emission reduction targets. This study assessed carbon emissions and sequestration based on different land use types in PLES, constructed a multi-objective carbon reduction scenario utilizing the Dinamica-EGO model, nondominated sorting genetic algorithm II, and entropy weight-TOPSIS model, and simulated 2035 carbon reduction characteristics by coupling PLES changes. Taking the BTH region as a case study, a methodological framework and corresponding models were established. The results show that from 2000 to 2020, the total carbon emissions in the BTH region increased significantly, presenting a spatial pattern of high emissions in the southeast and low emissions in the northwest. In contrast, the overall carbon sequestration capacity showed a decreasing trend, with stronger capacity in the northwest and weaker capacity in the southeast. The multi-variable 2035 carbon emission reduction prediction model achieved an accuracy of 82.24%. The 2035 carbon reduction plan developed based on this framework outperformed the original land use plan: economic benefits, emission reduction efficiency, spatial compactness, and accessibility are projected to increase by 15.8%, 7.9%, 2.5%, and 8.3%, respectively, while carbon emissions are expected to decrease by 19.04%. The proposed PLES-based framework for carbon metabolism measurement and emission reduction simulation exhibits good applicability in regional spatial emission reduction. These findings contribute to exploring regional carbon dynamics and provide references for governments to formulate carbon reduction policies.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolutionary characteristics and implementation effects of China’s low-carbon policy system: a quantitative analysis based on policy texts","authors":"Liu Xuexin,&nbsp;Jiang Lihua,&nbsp;Kong Xiaoxu","doi":"10.1186/s13021-026-00476-8","DOIUrl":"10.1186/s13021-026-00476-8","url":null,"abstract":"<div><p>China’s low-carbon policy system is a key institutional arrangement for advancing carbon disclosure, promoting green transformation, and supporting the achievement of the “dual-carbon”goals. However, existing studies have paid limited attention to the policy system itself as an integrated and evolving object of analysis. To address this gap, this paper develops a three-dimensional analytical framework of policy instruments, policy objectives, and policy effectiveness, and applies content analysis and temporal interval analysis to 1008 coded policy documents issued between 2007 and 2024. The results show that first, policy instruments are structurally imbalanced, with environment-type instruments dominating the policy mix, while supply-side and demand-side instruments remain relatively insufficient. Second, policy objectives are primarily oriented toward the national “dual-carbon”strategy, with comparatively limited attention to corporate sustainable development and investors’ low-carbon information needs. Third, policy effectiveness is unevenly distributed, as most policy texts are concentrated in provincial-level guiding documents, whereas high-authority policy documents remain limited. Fourth, China’s low-carbon policy system exhibits a clear three-stage evolution, moving from initial exploration to system construction and deepening, and then to adaptation and innovation. Finally, broader trend-based evidence suggests that changes in carbon emissions, green finance, and firm-level green transformation are broadly aligned with the direction of China’s low-carbon policy development. By shifting the analytical focus from isolated policy measures to the policy system itself, this study provides a more systematic basis for understanding the internal logic and evolutionary dynamics of China’s low-carbon governance, while also offering policy implications for China and institutional reference for other developing countries.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"21 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s13021-026-00476-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban-scale and urban cluster-scale: how population agglomeration shapes carbon emission intensity.","authors":"Haoqing Zheng, Chunli Ji, Huafeng Wang, Songlin Zhang","doi":"10.1186/s13021-026-00474-w","DOIUrl":"https://doi.org/10.1186/s13021-026-00474-w","url":null,"abstract":"<p><p>Urban clusters have become the fundamental spatial units for achieving carbon reduction, yet the pivotal interactive role of urban-scale and urban cluster-scale population agglomeration in shaping carbon emission intensity (CEI) has been largely overlooked. To address this gap, we develop a dual-scale analytical framework to examine how urban-scale population agglomeration affects CEI and how this relationship is moderated by urban cluster-scale population agglomeration. Based on panel data for 221 cities in 19 urban clusters in China from 2011 to 2022, we employ a two-way fixed effects model for the empirical analysis. The results reveal a robust U-shaped relationship between urban-scale population agglomeration and CEI: urban-scale population agglomeration initially reduces CEI but increases it beyond a turning point. More importantly, urban cluster-scale population agglomeration, measured using an inverse-distance-weighted agglomeration index, significantly flattens this U-shaped relationship. Green technological innovation and the co-agglomeration of diverse functional segments are identified as the two main channels through which this moderating effect operates. Heterogeneity analyses show that the moderating effect is more pronounced in eastern coastal and polycentric urban clusters. Moreover, this effect is stronger within a limited geographic range. These findings provide actionable insights for designing coordinated population agglomeration strategies at both the urban and urban cluster scales and for promoting carbon reduction across multiple scales within urban clusters.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized functional zoning based on land use carbon emissions and carbon balance: a case study in Shaanxi Province, China","authors":"Qi Mu,&nbsp;Xia Jia,&nbsp;Yonghua Zhao,&nbsp;Lei Zhang,&nbsp;Kun Ren,&nbsp;Wenhong Kang,&nbsp;Yueying Ren","doi":"10.1186/s13021-026-00471-z","DOIUrl":"10.1186/s13021-026-00471-z","url":null,"abstract":"<div><p>Land use carbon emissions (LUCE) is crucial for achieving carbon neutrality and sustainable development goals. How to coordinate ecological and economic benefits and formulate targeted regional carbon balance strategies based on local conditions remains to be explored. Therefore, Shaanxi Province in China was selected as the case for this study due to its rich ecological and energy resources and its significant differences. LUCE was calculated for each county in the region from 2000 to 2020. The contribution of carbon ecological capacity was quantified by calculating the carbon ecological support coefficient (ESC). The economic output per unit of carbon emission was measured using the carbon economic contribution coefficient (ECC). Based on the above, an optimized functional zoning for LUCE and carbon balance was constructed. Results showed that LUCE in Shaanxi Province increased from 2,088.18 × 10⁴ tonnes in 2000 to 19,330.99 × 10⁴ tonnes in 2020, with central region accounting for 64.81% of the total, northern region 22.92%, and southern region 12.27%. About 53.27% of counties maintained ecological deficits (ESC &lt; 1) in the Northern Shaanxi Energy Zone and the Guanzhong Belt, while 56.07% exhibited an imbalance between economic output and carbon emissions (ECC &lt; 1) in the Northern periphery and the Southern Ecological Zone. Economic growth was positively correlated with LUCE and negatively with ESC, but had a relatively small relationship with ECC and carbon absorption. Subsequently, all counties in Shaanxi Province were classified into five functional types: Carbon Sink Zones, Low-Carbon Economic Zones, Economic Development Zones, Carbon Intensity Control Zones and High-Carbon Optimization Zones, and a targeted strategy was proposed for each functional type. These results could provide a practical and transferable framework for supporting carbon neutrality planning and sustainable land use management in ecologically sensitive regions.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"21 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13440056/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148248565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathways to carbon neutrality: Spatiotemporal evolution and policy-oriented zoning of carbon balance in China's urban agglomerations.","authors":"Jiao Pang, Yishuo Liu, Yu Wang, Ruomeng Li, Ziyu Shi, Yijing Zhang, Feng Yan, Hao Xu, Yaheng Chen","doi":"10.1186/s13021-026-00469-7","DOIUrl":"10.1186/s13021-026-00469-7","url":null,"abstract":"<p><p>In the context of escalating global climate change and China's commitment to its dual carbon goals, this study investigates the spatiotemporal dynamics of carbon balance across 296 prefecture-level and higher cities in mainland China from 2001 to 2022, using emission data from the EDGAR database. By integrating ecosystem carbon sequestration models with economic contribution coefficients (ECC), ecological support coefficients (ESC), and China's main functional zoning framework, we systematically analyze regional carbon sources and sinks and propose a spatially explicit optimization strategy. Results reveal a distinct \"higher in the north than in the south, higher in the east than in the west\" emission pattern, driven by economic agglomeration and energy structure, with industrial clusters such as Beijing-Tianjin-Hebei and the Yangtze River Delta acting as high-emission hotspots; notably, the Chengdu-Chongqing region exhibited a sharp emissions surge in 2022 due to accelerated industrialization. In contrast, carbon sequestration capacity forms a \"northeast-southwest high axis,\" enhanced by ecological restoration in regions like the Yellow River Basin but diminished along the eastern coast due to urban expansion, thereby exacerbating regional carbon imbalance. Based on ECC and ESC, we classify areas into four dynamically adjusted carbon balance zones: (1) low-carbon maintenance zones (e.g., Beijing-Tianjin-Hebei, Chengdu-Chongqing), characterized by strong economic output and carbon sink potential; (2) economic development zones (e.g., Central Plains, Shandong Peninsula), reliant on high-carbon industries yet underpinned by relatively sound ecological foundations; (3) carbon sink development zones (middle reaches of the Yangtze River), combining significant economic contributions with fragile ecosystems; and (4) comprehensive optimization zones (e.g., Hohhot-Baotou-Ordos-Yulin, Hexi Corridor), facing dual economic and ecological pressures. These are further refined into 16 sub-zones aligned with national functional zoning to enable targeted policy implementation. We recommend zone-specific strategies: consolidating low-carbon technologies and ecological advantages in maintenance zones; accelerating industrial decarbonization and energy efficiency in development zones; strengthening ecological restoration and green industry cultivation in sink zones; and fostering coordinated socio-ecological development in optimization zones through policy incentives, interregional collaboration, and market mechanisms. Ultimately, achieving nationwide carbon balance hinges on two core pathways: optimized land-use planning and the implementation of differentiated, spatially tailored policies that account for local socioeconomic and ecological contexts.</p>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13527989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148238586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}