Ong Quoc Cuong , Trang Vu , Ly Trung Nguyen , Nguyen Bao Tran , Bjoern Ole Sander , Katherine M. Nelson
{"title":"Do conditional monetary incentives drive behavioral changes and reduce greenhouse gas emissions in rice production? Evidence from a field experiment in the Mekong Delta, Vietnam","authors":"Ong Quoc Cuong , Trang Vu , Ly Trung Nguyen , Nguyen Bao Tran , Bjoern Ole Sander , Katherine M. Nelson","doi":"10.1016/j.indic.2026.101178","DOIUrl":"10.1016/j.indic.2026.101178","url":null,"abstract":"<div><div>Rice production is a major contributor to greenhouse gas (GHG) emissions. Reducing GHG emissions in this sector is essential for achieving the climate targets. However, little is known about the effectiveness of monetary incentives for promoting low-emission practices. This study investigated whether conditional monetary incentives could drive behavioral changes and GHG emission reductions among rice farmers in the Mekong Delta, Vietnam. A field experiment was conducted with 200 farmers, applying difference-in-differences regression and inverse-probability-weighted regression adjustment models alongside behavioral indicators, namely, a change scale and a best practice scale. The results showed that monetary incentives had a limited effect on reducing GHG emissions as no statistically significant differences were observed between the treatment and control groups. However, moderate improvements were observed in low-emission practices, such as reducing the seed rate, nitrogen fertilizer, and pesticide spraying within the treatment group. The findings suggest that incentive-based programs should be combined with technical support, local stakeholder engagement, behavioral nudges, and robust monitoring systems. This study provides valuable insights into the limitations and design considerations of incentive interventions for low-emission rice production.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101178"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asymmetric roles of innovation and renewable energy in shaping carbon emissions in China","authors":"Dinh Thi Kim Chung , Vu Ngoc Xuan , Pham Xuan Hoa","doi":"10.1016/j.indic.2026.101145","DOIUrl":"10.1016/j.indic.2026.101145","url":null,"abstract":"<div><div>Achieving sustained economic growth while reducing carbon emissions remains a central challenge for China's sustainability transition. Despite the rapid expansion of renewable energy capacity and innovation activity, carbon emissions continue to rise, suggesting that the environmental effects of technological progress and energy restructuring may be nonlinear and asymmetric. Understanding whether positive and negative changes in innovation and renewable energy exert different impacts on emissions is therefore fundamental for effective climate and development policies. This study examines the asymmetric relationships between innovation, renewable energy consumption, economic growth, trade openness, and CO<sub>2</sub> emissions in China from 1990 to 2023. The analysis employs a Nonlinear Autoregressive Distributed Lag (NARDL) model as the base framework, allowing positive and negative shocks in innovation and renewable energy to affect emissions differently in the short and long run. Long-run cointegration is examined using the NARDL bounds testing approach, while dynamic multiplier functions trace adjustment paths following asymmetric shocks. Robustness is assessed through alternative lag specifications, a linear ARDL benchmark model, and extensive diagnostic and stability tests, including CUSUM and CUSUMSQ. The results reveal asymmetries. Positive shocks to innovation and renewable energy reduce CO<sub>2</sub> emissions, while negative shocks increase emissions. Economic growth continues to raise emissions. Trade openness raises emissions in the short run. Policies should stabilize R&D, prioritize grid integration and storage, and strengthen links with the emissions trading system.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101145"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulating categorical environmental dynamics using a Spatio-Temporal Integrated Geographic Generative Adversarial Network framework","authors":"Abdol Rassoul Zarei","doi":"10.1016/j.indic.2026.101133","DOIUrl":"10.1016/j.indic.2026.101133","url":null,"abstract":"<div><div>To overcome the limitations of traditional models to simulate discrete environmental variables, this study introduces a novel, integrated simulation framework: the Spatio-Temporal Integrated Geographic Generative Adversarial Network (ST-IGeo-GAN). This model directly processes raw raster data, including the target variable along with dynamic and static auxiliary indices. It learns to simulate the system's future state based on its prior state and spatial drivers. To evaluate the model's performance, the Vegetation Health Index (VHI) in Fars province, Iran, was forecast for the 2025–2030 period under three scenarios: (A) without auxiliary indices, (B) with the one dynamic auxiliary index: Normalized Difference Vegetation Index (NDVI), and (C) with both dynamic and static auxiliary indices: NDVI and Digital Elevation Model (DEM). The model was trained using VHI and NDVI imagery from 2003 to 2024. Evaluation results demonstrated that scenario B significantly outperformed scenarios A and C. Furthermore, a direct comparison against a CA-Markov and Conv-LSTM models confirmed the ST-IGeo-GAN's fundamental superiority, as the latter produced forecasts with significantly higher spatial accuracy. This finding suggests that while dynamic drivers are critical for temporal forecasting, the inclusion of less informative static variables can degrade model performance. Additionally, trend analysis for the extended period (2003–2030) under the superior Scenario B projected an emerging tendency towards drier conditions. This highlights a potential shift in the system's variability. The ST-IGeo-GAN framework provides a powerful, data-driven tool for simulating spatiotemporal systems, offering valuable insights for proactive environmental management and risk assessment.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101133"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir
{"title":"Early determinants of packaging waste recovery under Iceland's 2023 EPR reform: Evidence from Grey Relational and econometric analysis","authors":"Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir","doi":"10.1016/j.indic.2026.101144","DOIUrl":"10.1016/j.indic.2026.101144","url":null,"abstract":"<div><div>This study examines the early effects of Iceland's 2023 extended producer responsibility (EPR) reform for packaging waste, one of the first nationwide implementations of a fully harmonised, producer-funded system in a small and geographically dispersed country. Using municipal-level data for 2023–2024, the analysis evaluates how socioeconomic, demographic, and infrastructural factors influence per capita collection of packaging paper and plastics. Grey Relational Analysis (GRA) is applied to identify the most influential determinants under limited data conditions, and pooled ordinary least squares (OLS) regression is used to estimate their statistical associations while controlling for region and year.</div></div><div><h3>Results</h3><div>show that paper recovery increased markedly in 2024, reflecting rapid adaptation to standardised collection, whereas plastic recovery remained largely unchanged. In this early two-year sample, municipal variation appears to be shaped primarily by structural and service-design factors rather than socioeconomic characteristics. A higher ratio of seasonal housing is associated with greater apparent per capita recovery, and a higher share of home collection is linked to lower recovery for both materials. The negative relationship between per capita costs and plastic recovery suggests diminishing returns to expenditure or reflects structural remoteness constraints that raise costs without increasing capture.</div><div>The findings highlight the importance of tailoring EPR implementation to the local context. Adjusting performance metrics for seasonal occupancy, optimising the curbside/drop-off collection mix, and refining fee distributions for structurally high-cost municipalities can improve equity and efficiency. Overall, EPR provides the financial and regulatory scaffold, but geography and system design ultimately determine realised recycling outcomes.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101144"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating rural futures: Scenario-Based insights into non-agricultural employment in western Iran","authors":"Samaneh Sanjabi, Amirhossein Alibaygi","doi":"10.1016/j.indic.2026.101129","DOIUrl":"10.1016/j.indic.2026.101129","url":null,"abstract":"<div><div>Rural communities are increasingly challenged by climate change, declining agricultural productivity, and economic vulnerabilities, highlighting the urgent need for livelihood diversification. This study aims to identify, analyze, and forecast the key driving factors shaping the future of rural non-agricultural employment (RNFE) in the Bilavar district, Kermanshah, Iran. Specifically, the research seeks to (1) determine the main socio-economic and environmental variables influencing RNFE, (2) assess their mutual interactions, and (3) develop plausible future scenarios to support rural policy planning. A mixed-methods design was employed, integrating sustainable development and social capital frameworks. Using MICMAC and Scenario Wizard analytical tools, key drivers and interrelationships were explored to construct alternative futures. Results reveal that government support policies (V3), entrepreneurship and innovation (V4), and rural tourism (V13) emerged as the most influential and strategic drivers of RNFE development. Among the scenarios, balanced growth (Scenario 2) is the most likely, reflecting gradual progress under current conditions, while conservative stability and stagnation (Scenarios 3 and 4) are also plausible. The primary objective to develop a foresight-based framework for rural employment diversification underscores the importance of targeted interventions such as local financial initiatives, market-oriented skills training, and tourism infrastructure development to promote economic diversification, reduce youth migration, and enhance livelihood resilience. The study introduces a novel, futures-oriented analytical framework and offers a practical model applicable to similar rural regions in developing countries.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101129"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ingrid Milagros Iliquin-Inga , Anthony Apolinario Cortez-Lázaro , Dalila Irene Villanueva-Cadenas , Pablo Rituay , Jessy P. Arista , Jorge Ronny Díaz-Valderrama
{"title":"Bibliometric and systematic evaluation of lichens for biomonitoring in hydrocarbon pollution and mining","authors":"Ingrid Milagros Iliquin-Inga , Anthony Apolinario Cortez-Lázaro , Dalila Irene Villanueva-Cadenas , Pablo Rituay , Jessy P. Arista , Jorge Ronny Díaz-Valderrama","doi":"10.1016/j.indic.2026.101172","DOIUrl":"10.1016/j.indic.2026.101172","url":null,"abstract":"<div><div>Hydrocarbon pollution from oil spills, traffic emissions, and industrial processes continues to be a significant global threat to biodiversity, soil quality, water quality, and human health. Lichens, mutualistic life forms between fungi and photobiont symbionts that lack a protective cuticle, are widely used as biomonitors because they integrate atmospheric inputs and accumulate organic and inorganic contaminants. However, evidence for lichen-based hydrocarbon biomonitoring is methodologically heterogeneous, with limited comparability across studies regarding taxon selection, analytical endpoints, exposure design, and reporting practices. Here, we combine a global bibliometric analysis with a systematic review to map research trends in environments influenced by mining, where co-exposure to metals is frequently reported alongside organic fractions. The literature shows the recurrent use of taxa such as <em>Xanthoria parietina</em>, <em>Pseudevernia furfuracea</em>, <em>Evernia mesomorpha</em>, <em>Cladonia mitis</em>, and <em>Hypogymnia physodes</em>, but there is substantial variability in the measured variables and protocols. Polycyclic aromatic hydrocarbons and total petroleum-related fractions are the primary organic targets across studies, often accompanied by metal tracers (<em>e.g.</em>, Hg, As, Pb, Cu) for source attribution and characterization of co-pollutants. We highlight implications for environmental monitoring in resource-limited regions and propose priority elements for standardization to improve reproducibility and cross-study synthesis.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101172"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristian M. Muñoz-Maluenda , Juan M. Moya-Pérez , Jose A. Navarro-Cano , Miguel A. Esteve
{"title":"Comparative assessment of restored mine tailings based on an integrative ecological quality index","authors":"Cristian M. Muñoz-Maluenda , Juan M. Moya-Pérez , Jose A. Navarro-Cano , Miguel A. Esteve","doi":"10.1016/j.indic.2026.101134","DOIUrl":"10.1016/j.indic.2026.101134","url":null,"abstract":"<div><div>Mining wastes keep soil metal contents above toxicity thresholds many years after abandonment. The physical and chemical infertility of mining tailings makes them prone to high rates of erosion, posing an environmental threat for neighbouring areas. New restoration programs of these wastes might be based on comparative analyses of successful restoration projects.</div><div>Here we designed a Tailing Ecological Quality Index (TEQI) to compare the environmental status of nine tailings restored through different techniques across 30 years. These tailings belong to a semiarid mining district from SE Spain. TEQI integrated eight weighted physical, chemical and biological semi-quantitative indices, thus summarizing in a single value an estimate of the current status of a site.</div><div>The vegetation growth rate was the main determinant of TEQI, thus contributing to improve physical and ecological conditions. The high bioaccumulation of metals in some of the studied plant species advised against the risk of using them in future restoration projects without an effective waste isolation method. Contrary to what was expected, the results indicated that a higher cost·ha<sup>−1</sup> of the project (directly related to higher intervention level), did not guarantee higher success (TEQI) than cheaper and less complex restoration methods. In fact, TEQI was negatively affected by the cost·ha<sup>−1</sup> in projects below 0.4 M€·ha<sup>−1</sup>. Moreover, the closeness to undisturbed vegetation in the tailing neighbourhood contributed to reach a higher TEQI.</div><div>This quality index can be adapted as an integrative method to compare other restored ecosystems beyond mining areas through fitting the relative weight of each component.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101134"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ernie Nograles Bañares , Muhammad Shafqat Mehboob , Manas Ranjan Panda
{"title":"Physical and socio-economic drought vulnerability in a high-risk local government unit of the Bicol River Basin, Philippines","authors":"Ernie Nograles Bañares , Muhammad Shafqat Mehboob , Manas Ranjan Panda","doi":"10.1016/j.indic.2026.101177","DOIUrl":"10.1016/j.indic.2026.101177","url":null,"abstract":"<div><div>Climate change–driven drought increasingly threatens water security and community resilience in climate-sensitive watersheds like the Bicol River Basin (BRB) in the Philippines, highlighting the urgent need for sustainable watershed management. This study evaluates the drought vulnerability of selected local government units (LGUs) in water-stressed areas of the BRB. Using a quantitative approach, the research integrates primary data (socio-demographics, water usage, watershed practices) and secondary sources (field observations and literature). A stratified random sampling approach was employed in a March 2025 survey conducted in selected barangays of the BRB, involving 98 household residents (<em>n</em> = <em>98</em>). Thereafter, 11 indicators across social, economic, and physical dimensions were selected, normalized and weighted using the Analytic Hierarchy Process (AHP) to construct a Physical and Socio-Economic Drought Vulnerability Index (PSE-DVI), categorizing vulnerability into Low (0-0.25), Moderate (0.26-0.50), High (0.51-0.75), and Very High (0.75-1.00) levels. Results indicate that the economic dimension exhibits the highest vulnerability range (0.43–0.99), making it the most influential factor, followed by physical conditions (0.00–0.81). The social vulnerability indicator shows a comparatively moderate range (0.39–0.56). Moreover, clear disparities across the five barangays are observed, with economically constrained and upland communities exhibiting higher vulnerability due to reduced water access, limited infrastructure, and reliance on climate-sensitive livelihoods. To address these gaps, the study proposed an Integrated Watershed Management (IWM) plan that converts assessment results into practical, locally tailored actions to improve drought preparedness and watershed governance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101177"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inequality and the driving forces of carbon emissions from urban and rural household consumption in China","authors":"Meijie Wu , Zhiwen Li","doi":"10.1016/j.indic.2026.101176","DOIUrl":"10.1016/j.indic.2026.101176","url":null,"abstract":"<div><div>Household consumption is emerging as a significant source of carbon emissions growth; however, embedded equity concerns, particularly the mechanisms underlying urban–rural carbon inequality, remain inadequately explored. This study examined the trends, sources, and driving mechanisms of carbon inequality in household consumption between urban and rural residents in China from 2005 to 2022. The findings reveal that while carbon emissions from households continue to rise and the absolute urban–rural gap widens, relative inequality has narrowed. Structurally, the decline in inequality is primarily attributable to a reduction in within-group disparities, particularly in rural areas. Regarding the driving factors, the dominant role of income inequality weakened, inequality in consumption propensity exerted a persistent suppressive effect, and inequality in the carbon intensity emerged as a new driving force. Findings from the decomposition analysis reveal that household income is the primary and persistent driver of the growth in urban–rural per capita consumption-based carbon emissions, with the income effect in urban areas being several times that in rural areas. By contrast, carbon intensity acts as a mitigating factor, with its inhibitory effect growing steadily, whereas the role of the propensity to consume is limited. Further analysis indicates that the driving factors exhibit spatial heterogeneity at the provincial level. These findings provide critical insights into the evolving landscape of consumption-based carbon inequality in urban and rural China.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101176"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing sustainability in agriculture water management: Insights from literature","authors":"Bishal Dahal , Tamara Avellán , Ali Torabi Haghighi , Bjørn Kløve","doi":"10.1016/j.indic.2026.101142","DOIUrl":"10.1016/j.indic.2026.101142","url":null,"abstract":"<div><div>The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suffers from a lack of conceptual coherence and the persistence of conceptual ambiguity, resulting in limited transferable knowledge production. This study addresses these gaps through a systematic review using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework, encompassing literature published by the end of 2021. Quantitative bibliometric analysis revealed an upsurge in literature (an average annual increase of 33.88% from 1970 to 2021), reflecting alignment with scientific priorities and global policy initiatives. However, conceptual advancement has not kept pace with this rising volume. Keyword proliferation and disciplinary concentration indicate ongoing ambiguity, with sustainability often framed through environmentally centric and context-specific perspectives. The economic and social pillars remain insufficiently explored, and the production of knowledge is disproportionately centered in the Global North. Qualitative synthesis evidence, definitional plurality, and methodological diversity, hindering comparability and transferability across contexts. We integrate our findings into a cohesive thematic structure based on the three pillars of sustainability. Conceptual consolidation and consistent application of sustainability principles require a shift toward more integrative research practices. For this, we recommend focusing on stakeholder co-production, inclusive research agenda, expanded coverage of all three pillars, and increased representation from the Global South.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101142"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}