Ziqian Xia

All Publications

• Comparative assessment of economic and environmental impacts across eight second-use scenarios for retired lithium iron phosphate batteries in China ENVIRONMENTAL IMPACT ASSESSMENT REVIEW Tian, X., Di, J., Peng, F., Hu, Z., Xie, J., Wei, G., Xia, Z., Xiong, H., Khan, A., Liu, Y. 2026; 119

  View details for DOI 10.1016/j.eiar.2026.108347

  View details for Web of Science ID 001674945400001

• Who is lifting the green veil? Climate physical risks and supply chain spillovers of corporate carbon greenwashing TECHNOLOGY IN SOCIETY Zhong, Y., Yan, H., Xia, Z. 2026; 85

  View details for DOI 10.1016/j.techsoc.2025.103203

  View details for Web of Science ID 001643257800001

• Assessing Nudge Impact: A Comprehensive Second-Order Meta-Analysis JOURNAL OF BEHAVIORAL DECISION MAKING Hu, B., Xia, Z., Guo, Q., Lu, C., Constantino, S., Ju, X. 2025; 38 (5)

  View details for DOI 10.1002/bdm.70053

  View details for Web of Science ID 001635776000001

• MATES: A tool for appraising the completeness with which a meta-analysis has been reported. Environment international Morrison, K., Pottier, P., Pollo, P., Ricolfi, L., Williams, C., Yang, Y., Beillouin, D., Cardoso, S. J., Ferreira, V., Gallagher, B., Gan, J. L., Hao, G., Keikha, M., Kozlowsky-Suzuki, B., Kiran Kumara, T. M., Latterini, F., Leverkus, A. B., Macartney, E. L., Manrique, S. M., Martinig, A. R., Mizuno, A., Nanayakkara, S., Ntzani, E., Ouédraogo, D. Y., Pursell, E., Simpson, Z., Sleight, H., Woon, K. S., Xia, Z., Ghannad, M., Grames, E., Hennessy, E. A., IntHout, J., Moher, D., O'Dea, R. E., Page, M. J., Whaley, P., Lagisz, M., Nakagawa, S. 2025; 207: 109935

  Abstract

  Meta-analysis is commonly a core component of systematic reviews and has become an important method to reconcile conflicting findings, increase statistical power, and chart new research directions. However, poor reporting practices make it challenging to evaluate the validity of meta-analyses. Despite the existence of reporting checklists, a specifically designed tool has yet to be developed to appraise the completeness with which a meta-analysis has been reported. To bridge this gap, we introduce the Meta-analysis Appraisal Tool for Environmental Sciences (MATES). To develop MATES, we adapted a Delphi process involving experts in meta-analysis methodologies, researchers with experience in guideline/appraisal tool development, and editors of relevant journals. The Delphi process had five steps, including three workshops (11-16 participants), a survey (193 participants), and a validation task (30 participants). This iterative development process resulted in a 14-item appraisal tool that reflects the environmental science and research syntheses community's consensus on essential elements to appraise the completeness with which a meta-analysis has been reported. Validation across 50 meta-analyses demonstrated that the tool is repeatable (average agreement rate: 88.97 %) and time-efficient to implement (17.00 ± 12.23 min). We also outline guidance for interpreting MATES results, describe its potential applications, and reflect on the development process. The authors provide practical implementation guidance for each MATES item, illustrated with real examples in the supplementary material. We also report an extended development methodology to support reproducibility. Finally, we built created a ShinyApp that includes both a training module and an application tool to enhance the usability of MATES (https://kylemorrisonisshiny99.shinyapps.io/MATES_shiny/). Overall, MATES provides authors, readers, stakeholders, and editors with a reliable and accessible tool for appraising the completeness with which a meta-analysis in environmental sciences has been reported.

  View details for DOI 10.1016/j.envint.2025.109935

  View details for PubMedID 41411971

• IoT-based analysis reveals behavioral differences in public participation in low-value recyclables collection HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS Tian, X., Yuan, K., Wen, H., Xia, Z., Peng, F., Men, D., Wei, G., Qian, Y., Liu, Y. 2025; 12 (1)

  View details for DOI 10.1057/s41599-025-05975-6

  View details for Web of Science ID 001613666100001

• Elderly population migration and urban energy consumption: Voluntary relocation or forced displacement? ENERGY ECONOMICS Lee, C., Li, J., Xia, Z., Xie, L. 2025; 149

  View details for DOI 10.1016/j.eneco.2025.108725

  View details for Web of Science ID 001538836400001

• Promoting plant-based diet in China: Testing health, environmental and animal welfare motivational messages SUSTAINABLE PRODUCTION AND CONSUMPTION Shi, K., Xia, Z., Gu, H., Nisa, C. 2025; 58: 165-174

  View details for DOI 10.1016/j.spc.2025.06.013

  View details for Web of Science ID 001525670300001

• Growing climate change risk concerns with rising regional disparities in China. npj climate action Xia, Z., Ye, J., Debnath, R., Dong, X., Xie, J., Xu, M., Tian, X., Marlon, J., Zhang, C., Yang, J., Constantino, S., Liu, M. 2025; 4 (1): 78

  Abstract

  This study presents a high-resolution mapping of climate change perceptions across China, highlighting the evolution of public perception regarding the priority and impact of climate change over a 13-year period between 2010 and 2023. Utilizing data from two national surveys conducted (N = 11783 and N = 4050), we show a considerable rise in the perceived priority (19%) and impact (13%) of climate change issues nationally, alongside growing regional disparities. We do robustness checks of our results using repeated simulations between multilevel regression and poststratification and disaggregation methods. By examining perceived impacts against actual risk exposure, we show the need for managing regional vulnerabilities and tailored and targeted communication strategies to mitigate the spatial mismatch between climate change perception and risk exposure.

  View details for DOI 10.1038/s44168-025-00272-z

  View details for PubMedID 40852564

  View details for PubMedCentralID PMC12367554

• Extreme weather event attribution predicts climate policy support across the world NATURE CLIMATE CHANGE Cologna, V., Meiler, S., Kropf, C. M., Luethi, S., Mede, N. G., Bresch, D. N., Lecuona, O., Berger, S., Besley, J., Brick, C., Joubert, M., Maibach, E. W., Mihelj, S., Oreskes, N., Schaefer, M. S., van der Linden, S., TISP Consortium 2025; 15 (7): 725-735

  Abstract

  Extreme weather events are becoming more frequent and intense due to climate change. Yet, little is known about the relationship between exposure to extreme events, subjective attribution of these events to climate change, and climate policy support, especially in the Global South. Combining large-scale natural and social science data from 68 countries (N = 71,922), we develop a measure of exposed population to extreme weather events and investigate whether exposure to extreme weather and subjective attribution of extreme weather to climate change predict climate policy support. We find that most people support climate policies and link extreme weather events to climate change. Subjective attribution of extreme weather was positively associated with policy support for five widely discussed climate policies. However, exposure to most types of extreme weather event did not predict policy support. Overall, these results suggest that subjective attribution could facilitate climate policy support.

  View details for DOI 10.1038/s41558-025-02372-4

  View details for Web of Science ID 001520711300001

  View details for PubMedID 40641510

  View details for PubMedCentralID PMC12237696

• Predicting adolescents' environmental action: From individual to national-level factors using an explainable machine learning approach. Journal of environmental management Hu, B., Gao, J., Feng, Y., Xia, Z., Wang, K., Geng, L. 2025; 390: 126398

  Abstract

  As a key force in future environmental actions, youth play a crucial role in driving societal transformation. However, the factors influencing youth environmental actions have not been fully validated, and the role of national-level influences is often overlooked. This study aims to identify the factors that are associated with adolescents' public-sphere and private-sphere environmental actions. Unlike prior studies, which typically use single-level analyses, we simultaneously examine individual, school, and national factors to capture the often-overlooked national context. Using PISA-2018 data on 420,339 adolescents from 66 countries, we used LightGBM and XGBoost to build predictive models. Shapley Additive Explanations (SHAP) were then applied to detect non-linear threshold effects and to quantify each feature's contribution to environmental action. Results indicate that individual-level factors, such as environmental attitudes, the discussion of international events in school, and critical thinking, are significantly associated with adolescents' private-sphere environmental actions. Conversely, national-level factors, such as Sustainable Development Goal (SDG) performance and country vulnerability, play a particularly strong role in shaping public-sphere environmental actions. This study underscores the importance of incorporating national-level factors, which have often been under-emphasized in research on youth environmental behavior.

  View details for DOI 10.1016/j.jenvman.2025.126398

  View details for PubMedID 40582319

• Evaluating carbon footprint calculators: a comprehensive assessment framework CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY Xia, Z., Liu, K., Li, J., Gu, Y., Hu, B., Zhong, Y., Ye, J., Lam, K. 2025

  View details for DOI 10.1007/s10098-025-03169-x

  View details for Web of Science ID 001485530600001

• Environmental education in low-income and middle-income countries: A systematic review and meta-analysis JOURNAL OF ENVIRONMENTAL PSYCHOLOGY Hu, B., Wang, C., Xia, Z., Lu, C., Ju, X. 2025; 104

  View details for DOI 10.1016/j.jenvp.2025.102613

  View details for Web of Science ID 001490322600002

• Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset. Scientific data Mede, N. G., Cologna, V., Berger, S., Besley, J., Brick, C., Joubert, M., Maibach, E. W., Mihelj, S., Oreskes, N., Schäfer, M. S., van der Linden, S., Abdul Aziz, N. I., Abdulsalam, S., Shamsi, N. A., Aczel, B., Adinugroho, I., Alabrese, E., Aldoh, A., Alfano, M., Ali, I. M., Alsobay, M., Altenmüller, M., Alvarez, R. M., Amoako, R., Amollo, T., Ansah, P., Apriliawati, D., Azevedo, F., Bajrami, A., Bardhan, R., Bati, K., Bertsou, E., Betsch, C., Bhatiya, A. Y., Bhui, R., Białobrzeska, O., Bilewicz, M., Bouguettaya, A., Breeden, K., Bret, A., Buchel, O., Cabrera-Álvarez, P., Cagnoli, F., Valdez, A. C., Callaghan, T., Cases, R. K., Çoksan, S., Czarnek, G., De Peuter, S., Debnath, R., Delouvée, S., Di Stefano, L., Díaz-Catalán, C., Doell, K. C., Dohle, S., Douglas, K. M., Dries, C., Dubrov, D., Dzimińska, M., Ecker, U. K., Elbaek, C. T., Elsherif, M., Enke, B., Etienne, T. W., Facciani, M., Fage-Butler, A., Faisal, M. Z., Fan, X., Farhart, C., Feldhaus, C., Ferreira, M., Feuerriegel, S., Fischer, H., Freundt, J., Friese, M., Fuglsang, S., Gallyamova, A., Garrido-Vásquez, P., Garrido Vásquez, M. E., Gatua, W., Genschow, O., Ghasemi, O., Gkinopoulos, T., Gloor, J. L., Goddard, E., Gollwitzer, M., González-Brambila, C., Gordon, H., Grigoryev, D., Grimshaw, G. M., Guenther, L., Haarstad, H., Harari, D., Hawkins, L. N., Hensel, P., Hernández-Mondragón, A. C., Herziger, A., Huang, G., Huff, M., Hurley, M., Ibadildin, N., Ishibashi, M., Islam, M. T., Jeddi, Y., Jin, T., Jones, C. A., Jungkunz, S., Jurgiel, D., Kabdulkair, Z., Kao, J. J., Kavassalis, S., Kerr, J. R., Kitsa, M., Klabíková Rábová, T., Klein, O., Koh, H., Koivula, A., Kojan, L., Komyaginskaya, E., König, L., Koppel, L., Cavalcante, K. K., Kosachenko, A., Kotcher, J., Kranz, L. S., Krishnan, P., Kristiansen, S., Krouwel, A., Kuppens, T., Kyza, E. A., Lamm, C., Lantian, A., Lazić, A., Lecuona, O., Légal, J. B., Leviston, Z., Levy, N., Lindkvist, A. M., Lits, G., Löschel, A., López-Ortega, A., Lopez-Villavicencio, C., Lou, N. M., Lucas, C. H., Lunz-Trujillo, K., Marques, M. D., Mayer, S. J., McKay, R., Mercier, H., Metag, J., Milfont, T. L., Miller, J. M., Mitkidis, P., Monge-Rodríguez, F., Motta, M., Mudra, I., Muršič, Z., Namutebi, J., Newman, E. J., Nitschke, J. P., Ntui, N. V., Nwogwugwu, D., Ostermann, T., Otterbring, T., Palmer-Hague, J., Pantazi, M., Pärnamets, P., Parra Saiani, P., Paruzel-Czachura, M., Parzuchowski, M., Pavlov, Y. G., Pearson, A. R., Penner, M. A., Pennington, C. R., Petkanopoulou, K., Petrović, M. M., Pfänder, J., Pisareva, D., Ploszaj, A., Poliaková, K., Pronizius, E., Pypno-Blajda, K., Quiñones, D. M., Räsänen, P., Rauchfleisch, A., Rebitschek, F. G., Refojo Seronero, C., Rêgo, G., Reynolds, J. P., Roche, J., Rödder, S., Röer, J. P., Ross, R. M., Ruin, I., Santos, O., Santos, R. R., Schmid, P., Schulreich, S., Scoggins, B., Sharaf, A., Sheria Nfundiko, J., Shuckburgh, E., Six, J., Solak, N., Späth, L., Spruyt, B., Standaert, O., Stanley, S. K., Storms, G., Strahm, N., Syropoulos, S., Szaszi, B., Szumowska, E., Tanaka, M., Teran-Escobar, C., Todorova, B., Toko, A. K., Tokrri, R., Toribio-Florez, D., Tsakiris, M., Tyrala, M., Uluğ, Ö. M., Uzoma, I. C., van Noord, J., Varda, C., Verheyen, S., Vilares, I., Vlasceanu, M., von Bubnoff, A., Walker, I., Warwas, I., Weber, M., Weninger, T., Westfal, M., Wintterlin, F., Wojcik, A. D., Xia, Z., Xie, J., Zegler-Poleska, E., Zenklusen, A., Zwaan, R. A. 2025; 12 (1): 114

  Abstract

  Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries. The data were collected between November 2022 and August 2023 as part of the global Many Labs study "Trust in Science and Science-Related Populism" (TISP). The questionnaire contained comprehensive measures for individuals' trust in scientists, science-related populist attitudes, perceptions of the role of science in society, science media use and communication behaviour, attitudes to climate change and support for environmental policies, personality traits, political and religious views and demographic characteristics. Here, we describe the dataset, survey materials and psychometric properties of key variables. We encourage researchers to use this unique dataset for global comparative analyses on public perceptions of science and its role in society and policy-making.

  View details for DOI 10.1038/s41597-024-04100-7

  View details for PubMedID 39833242

  View details for PubMedCentralID 8114456

• Factors determining reuse behavior: A meta-analysis CLEANER AND RESPONSIBLE CONSUMPTION Gu, Y., Xia, Z., Tian, X., Xie, J., Liu, Y. 2024; 14

  View details for DOI 10.1016/j.clrc.2024.100213

  View details for Web of Science ID 001286002000001

• Environmental impact and economic assessment of recycling lithium iron phosphate battery cathodes: Comparison of major processes in China RESOURCES CONSERVATION AND RECYCLING Tian, X., Ma, Q., Xie, J., Xia, Z., Liu, Y. 2024; 203

  View details for DOI 10.1016/j.resconrec.2024.107449

  View details for Web of Science ID 001167640000001

• Design and simulation of a cross-regional collaborative recycling system for secondary resources: A case of lead-acid batteries JOURNAL OF ENVIRONMENTAL MANAGEMENT Tian, X., Tan, H., Xie, J., Xia, Z., Liu, Y. 2023; 348: 119181

  Abstract

  In emerging economies, a significant amount of secondary resources are recycled by the informal sector, which can seriously harm the environment. However, some previous studies of industry management policy design ignored geographical factors. This paper introduces Geographic Information Systems into an agent-based cross-regional recycling model, and employs lead-acid batteries as an example. The model quantitatively displays the evolution of recycling markets in 31 provinces in Mainland China. Results show that: (1) High subsidies can significantly increase the number of formal enterprises in the short term, but their effectiveness decreases when the proportion of government funds in subsidies is above 80% in the long run; (2) The number of illegal recycling enterprises increases by 294% in eight inland provinces (e.g., Ningxia, Xinjiang) when all funds are invested in supervision, but this number is quite small in subsidy policy scenarios; (3) In four eastern regions, including Beijing and Tianjin, the number of illegal recycling enterprises decreases by 84% if supervision is more favored than subsidy; (4) In the optimal case where spatiotemporal factors are considered in all 31 regions, illegal recycling enterprises and waste lead emissions can be reduced by 95.59% and 45.85% nationwide. Our proposed recycling model offers a detailed simulation of multiple regions and diverse stakeholders, and serves as a useful reference for targeted recovery policies. Governments in inland regions like Ningxia and Xinjiang should implement subsidy policies, while supervision policies should be implemented in developed regions like Beijing and Tianjin.

  View details for DOI 10.1016/j.jenvman.2023.119181

  View details for Web of Science ID 001105836500001

  View details for PubMedID 37879172

• Green illusions in self-reporting? Reassessing the intention-behavior gap in waste recycling behaviors WASTE MANAGEMENT Zhang, S., Xia, Z., Zhang, C., Tian, X., Xie, J. 2023; 166: 171-180

  Abstract

  Improving residents' waste recycling behavior is crucial for enhancing resource efficiency and reducing carbon emissions. Previous questionnaire-based studies have reported that individuals exhibit a high willingness to recycle, yet often fail to convert this intention into action. Analyzing 180,417 Internet of Things (IoT) behavior data points, we discovered that the intention-behavior gap might be larger than anticipated. Our findings indicate that: 1) Intentions to recycle alone can predict self-reported recycling behavior (p < 0.01, t = 2.841), but not actual recycling behavior in the absence of other possible moderators (p > 0.1, t = 0.777); 2) Self-reported behavior predicts real behavior, but with limited explanatory power; and 3) The intention-behavior gap primarily results from forgetting or habituation (p < 0.01, t = 2.653), while social desirability plays an insignificant role (p > 0.1, t = 0.246). This study contributes to our understanding of the intention-behavior gap and provides direction for future pro-environmental behavior research.

  View details for DOI 10.1016/j.wasman.2023.04.036

  View details for Web of Science ID 001000492400001

  View details for PubMedID 37172518

• Nexus and synergy between the low-carbon economy and circular economy: A systematic and critical review ENVIRONMENTAL IMPACT ASSESSMENT REVIEW Xie, J., Xia, Z., Tian, X., Liu, Y. 2023; 100

  View details for DOI 10.1016/j.eiar.2023.107077

  View details for Web of Science ID 000948703400001

• Do behavioural interventions enhance waste recycling practices? Evidence from an extended meta-analysis JOURNAL OF CLEANER PRODUCTION Xia, Z., Gu, Y., Li, J., Xie, J., Liu, F., Wen, X., Tian, X., Zhang, C. 2023; 385

  View details for DOI 10.1016/j.jclepro.2022.135695

  View details for Web of Science ID 000915988500001

• Digital interventions for a sustainable future NATURE REVIEWS PSYCHOLOGY Xia, Z. 2022; 1 (12): 690

  View details for DOI 10.1038/s44159-022-00125-0

  View details for Web of Science ID 001124820400005

• A bibliometric analysis of climate change risk perception: Hot spots, trends and improvements FRONTIERS IN ENVIRONMENTAL SCIENCE Fan, J., Liu, G., Xia, Z., Cai, S. 2022; 10

  View details for DOI 10.3389/fenvs.2022.917469

  View details for Web of Science ID 000894001000001

• A meta-analysis of the relationship between climate change experience and climate change perception ENVIRONMENTAL RESEARCH COMMUNICATIONS Xia, Z., Ye, J., Zhou, Y., Howe, P. D., Xu, M., Tan, X., Tian, X., Zhang, C. 2022; 4 (10)

  View details for DOI 10.1088/2515-7620/ac9bd9

  View details for Web of Science ID 000877311800001

• A meta-analytical review of intervention experiments to reduce food waste ENVIRONMENTAL RESEARCH LETTERS Tian, X., Xia, Z., Xie, J., Zhang, C., Liu, Y., Xu, M. 2022; 17 (6)

  View details for DOI 10.1088/1748-9326/ac72b6

  View details for Web of Science ID 000806546600001

• Understanding waste sorting behavior and key influencing factors through internet of things: Evidence from college student community RESOURCES CONSERVATION AND RECYCLING Xia, Z., Zhang, S., Tian, X., Liu, Y. 2021; 174

  View details for DOI 10.1016/j.resconrec.2021.105775

  View details for Web of Science ID 000672683700033