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The contextual parameters influence on the eco-block building purchase decision in Mauritius

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Abstract

Concern for unsustainable buildings has obliged the global construction industry to embrace energy-efficient building envelope. In Mauritius, building insulation like the eco-block technology was initiated to reduce energy consumption from air-conditioning, ensure energy cost savings and improve thermal comfort. An investigation of the factors which motivate society’s acceptance of the new building is important to enable its wider-scale implementation. Normally, the adoption decision-making process is a generic model to understand the different stages leading to the purchase decision of a specific innovation. However, the model is restricted in terms of obtaining an in-depth contextual understanding towards the selection process. The contribution of this research is, therefore, to develop a new adoption decision-making framework that aims to explore the contextual factors and examine Mauritians’ purchase decision of the eco-block building, filling the literature gaps. A survey questionnaire was designed and distributed to Mauritians based on the researcher’s judgment, where 257 responses were useful to undergo structural equation modelling. The findings revealed that dissatisfaction with the thermal comfort of existing buildings during hot season, importance to reduce energy, household size, internal product features, economic incentives and public education have significant influence on the building acceptance. Contrastingly, building age, awareness of building insulation alternatives, external product features and past experience have no effect on adoption decision. Accordingly, the predictor variables within the contextual model could satisfactorily explain 21.1% of the eco-block building purchase behaviour. The contextual framework can eventually assist building developers to use the research outcomes and formulate successful implementation strategies.

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Notes

  1. A detailed description on the eco-block building insulation is reported in (Joyram, 2019; Joyram et al., 2022).

References

  • Abdulwahab, L., Dahalin, Z., & Galadima, M. B. (2011). Data screening and preliminary analysis of the determinants of user acceptance of telecentre. Journal of Information Systems: New Paradigms, 1(1), 11–23. https://www.researchgate.net/publication/269222211.

    Google Scholar 

  • Abu-Jdayil, B., Mourad, A. H., Hittini, W., Hassan, M., & Hameedi, S. (2019). Traditional, state-of-the-art and renewable thermal building insulation materials: An overview. Construction and Building Materials, 214, 709–735. https://doi.org/10.1016/j.conbuildmat.2019.04.102.

    Article  Google Scholar 

  • Abubakar, A., Saidin, S. Z., & Ahmi, A. (2017). Performance Management antecedents and Public Sector Organizational performance: Data screening and preliminary analysis. International Journal of Academic Research in Business and Social Sciences, 7(9), 19–31. https://doi.org/10.6007/ijarbss/v7-i9/3306.

    Article  Google Scholar 

  • Achtnicht, M., & Madlener, R. (2014). Factors influencing German house owners’ preferences on energy retrofits. Energy Policy, 68, 254–263. https://doi.org/10.1016/j.enpol.2014.01.006.

    Article  Google Scholar 

  • Aditya, L., Mahlia, T. M. I., Rismanchi, B., Ng, H. M., Hasan, M. H., Metselaar, H. S. C., Muraza, O., & Aditiya, H. B. (2017). A review on insulation materials for energy conservation in buildings. Renewable and Sustainable Energy Reviews, 73, 1352–1365. https://doi.org/10.1016/J.RSER.2017.02.034.

    Article  Google Scholar 

  • Al Mamun, A., Rahman, M. K., Masud, M. M., & Mohiuddin, M. (2023). Willingness to pay premium prices for green buildings: Evidence from an emerging economy. Environmental Science and Pollution Research, pp.1–17.

  • Alberini, A., Banfi, S., & Ramseier, C. (2013). Energy efficiency investments in the home: Swiss homeowners and expectations about future energy prices. Energy Journal, 34(1), 49–86. https://doi.org/10.5547/01956574.34.1.3.

    Article  Google Scholar 

  • Ampratwum, G., Agyekum, K., Adinyira, E., & Duah, D. (2021). A framework for the implementation of green certification of buildings in Ghana. International Journal of Construction Management, 21(12), 1263–1277. https://doi.org/10.1080/15623599.2019.1613207.

    Article  Google Scholar 

  • Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step Approach. Psychological Bulletin, 103, 411–420.

    Article  Google Scholar 

  • Armstrong, J. S., & Overton, T. S. (1997). Estimating nonresponse Bias in Mail surveys. Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • ASHRAE (2019). American society of heating, refrigerating and air-conditioning engineers. What is ASHRAE 55? The Basics of Thermal Comfort.

  • Awang, Z., Wan Afthanorhan, W. M. A., & Asri, M. A. M. (2015). Parametric and Non Parametric Approach in Structural equation modeling (SEM): The application of Bootstrapping. Modern Applied Science, 9(9), 58. https://doi.org/10.5539/mas.v9n9p58.

    Article  Google Scholar 

  • Azizi, S., Nair, G., & Olofsson, T. (2019). Analysing the house-owners’ perceptions on benefits and barriers of energy renovation in Swedish single-family houses. Energy and Buildings, 198(2019), 187–196. https://doi.org/10.1016/j.enbuild.2019.05.034.

    Article  Google Scholar 

  • Azizi, S., Nair, G., & Olofsson, T. (2020). Adoption of energy efficiency measures in renovation of single-family houses: A comparative approach. Energies, 13(22), 6042. https://doi.org/10.3390/en13226042.

    Article  Google Scholar 

  • Babin, B. J., & Svensson, G. (2012). Structural equation modeling in social science research: Issues of validity and reliability in the research process. European Business Review, 24(4), 320–330. https://doi.org/10.1108/09555341211242132.

    Article  Google Scholar 

  • Baldini, M., Trivella, A., & Wente, J. W. (2018). The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark. Energy Policy, 120, 503–513. https://doi.org/10.1016/j.enpol.2018.05.048.

    Article  Google Scholar 

  • Blasius, J., & Thiessen, V. (2012). Assessing the quality of Survey Data (1st ed.). Sage.

  • Bravo, G., Pardalis, G., Mahapatra, K., & Mainali, B. (2019). Physical vs. aesthetic renovations: Learning from Swedish house owners. Buildings, 9(1), 12. https://doi.org/10.3390/buildings9010012.

    Article  Google Scholar 

  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford.

  • Bruce-Hyrkäs, T., Pasanen, P., & Castro, R. (2018). Overview of whole Building Life-Cycle Assessment for Green Building certification and ecodesign through industry surveys and interviews. Procedia CIRP, 69, 178–183. https://doi.org/10.1016/j.procir.2017.11.127.

  • Byrne, B. M. (2010). Structural equation modelling with AMOS. 2nd Ed. Routledge New York.

  • Caruana, C., Grima, C., Yousif, C., Buhagiar, S., & Curmi, R. (2014). Overview of testing methodologies for thermally improved hollow-core concrete blocks. Energy Procedia, 62, 180–189. https://doi.org/10.1016/J.EGYPRO.2014.12.379.

    Article  Google Scholar 

  • CEB (2020). Central Electricity Board. Integrated Electricity Plan 2020–2030.

  • Chegut, A., Eichholtz, P., & Kok, N. (2019). The price of innovation: An analysis of the marginal cost of green buildings. Journal of Environmental Economics and Management, 98, 102248. https://doi.org/10.1016/j.jeem.2019.07.003.

    Article  Google Scholar 

  • Chen, C., Xu, X., & Day, J. K. (2017). Thermal comfort or money saving? Exploring intentions to conserve energy among low-income households in the United States. Energy Research and Social Science, 26, 61–71. https://doi.org/10.1016/j.erss.2017.01.009.

    Article  Google Scholar 

  • Civelek, M. E. (2018). Essentials of structural equation modeling. Lulu Com. https://doi.org/10.13014/k2sj1hr5.

    Article  Google Scholar 

  • Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences, 2nd Ed, Routledge New York.

  • Cole, L. B. (2019). Green building literacy: A framework for advancing green building education. International Journal of STEM Education, 6, 1–13. https://doi.org/10.1186/s40594-019-0171-6.

    Article  Google Scholar 

  • Darko, A., & Chan, A. P. C. (2017). Review of barriers to Green Building Adoption. Sustainable Development, 25(3), 167–179. https://doi.org/10.1002/sd.1651.

    Article  Google Scholar 

  • Darko, A., Chan, A. P. C., Ameyaw, E. E., He, B. J., & Olanipekun, A. O. (2017). Examining issues influencing green building technologies adoption: The United States green building experts’ perspectives. Energy and Buildings, 144, 320–332. https://doi.org/10.1016/j.enbuild.2017.03.060.

    Article  Google Scholar 

  • Darko, A., Chan, A. P. C., Yang, Y., Shan, M., He, B. J., & Gou, Z. (2018). Influences of barriers, drivers, and promotion strategies on green building technologies adoption in developing countries: The Ghanaian case. Journal of Cleaner Production, 200, 687–703. https://doi.org/10.1016/j.jclepro.2018.07.318.

    Article  Google Scholar 

  • Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092.

    Article  Google Scholar 

  • Delmastro, C., Mutani, G., & Corgnati, S. P. (2016). A supporting method for selecting cost-optimal energy retrofit policies for residential buildings at the urban scale. Energy Policy, 99, 42–56. https://doi.org/10.1016/j.enpol.2016.09.051.

    Article  Google Scholar 

  • Dragan, D., & Topolšek, D. (2014). June. Introduction to structural equation modeling: review, methodology and practical applications. In The International Conference on Logistics & Sustainable Transport, 6, pp. 19–21.

  • Elahee, M. K. (2014). Energy Management and Air-Conditioning in buildings in Mauritius: Towards achieving sustainability in a small-island developing economy vulnerable to Climate Change. Energy Procedia, 62, 629–638. https://doi.org/10.1016/J.EGYPRO.2014.12.426.

    Article  Google Scholar 

  • Engel, J. F., Kollat, D. T., & Blackwell, R. D. (1968). Consumer behaviour. Holt, Rinehart.

  • Eryürük, Ş., Kürüm Varolgüneş, F., & Varolgüneş, S. (2022). Assessment of stakeholder satisfaction as additive to improve building design quality: AHP-based approach. Journal of Housing and the Built Environment, 37(1), 505–528.

    Article  Google Scholar 

  • Fawaier, M., & Bokor, B. (2022). Dynamic insulation systems of building envelopes: A review. Energy and Buildings, 270, 112268. https://doi.org/10.1016/j.enbuild.2022.112268.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural models with unobserved variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Gan, V. J. L., Lo, I. M. C., Ma, J., Tse, K. T., Cheng, J. C. P., & Chan, C. M. (2020). Simulation optimisation towards energy efficient green buildings: Current status and future trends. Journal of Cleaner Production, 254, 120012. https://doi.org/10.1016/j.jclepro.2020.120012.

    Article  Google Scholar 

  • George, D., & Mallery, P. (2018). Reliability analysis: IBM SPSS statistics 25 step by step (15th ed.). Routledge.

  • Golbazi, M., & Aktas, C. B. (2018). Effects of large offshore wind farms on meteorology and air quality view project energy efficiency of residential buildings in the U.S.: Improvement potential beyond IECC. Building and Environment, 142, 278–287. https://doi.org/10.1016/j.buildenv.2018.06.029.

    Article  Google Scholar 

  • Golbazi, M., El, A., & Aktas, C. B. (2020). Energy and buildings willingness to pay for green buildings: A survey on students ’ perception in higher education. Energy and Buildings, 216, 109956. https://doi.org/10.1016/j.enbuild.2020.109956.

    Article  Google Scholar 

  • Hair, J. F., William, C. B., Barry, J. B., & Rolph, E. A. (2013). Multivariate data analysis.7th Ed. Pearson Education.

  • Han, H. (2020). Theory of green purchase behavior (TGPB): A new theory for sustainable consumption of green hotel and green restaurant products. Business Strategy and the Environment, 29(6), 2815–2828. https://doi.org/10.1002/bse.2545.

    Article  Google Scholar 

  • He, Q., Zhao, H., Shen, L., Dong, L., Cheng, Y., & Xu, K. (2019). Factors influencing residents’ intention toward green retrofitting of existing residential buildings. Sustainability (Switzerland), 11(15), 1–23. https://doi.org/10.3390/su11154246.

    Article  Google Scholar 

  • Howard, J. A., & Sheth, J. N. (1969). A theory of Buyer Behavior. Journal of the American Statistical Association, 1, 467–487. https://doi.org/10.2307/2284311.

    Article  Google Scholar 

  • Hung Anh, L. D., & Pásztory, Z. (2021). An overview of factors influencing thermal conductivity of building insulation materials. Journal of Building Engineering, 44, 102604. https://doi.org/10.1016/j.jobe.2021.102604.

    Article  Google Scholar 

  • Joyram, H. (2019). A critical evaluation on the factors impacting the adoption of eco-block as a green construction material: From a Mauritian perspective. Journal of Building Engineering, 25, 100789. https://doi.org/10.1016/j.jobe.2019.100789.

    Article  Google Scholar 

  • Joyram, H., Govindan, K., & Nunkoo, R. (2022). A comprehensive review on the adoption of insulated block/eco-block as a green building technology from a resident perspective. Cleaner Engineering and Technology, 8, 100480. https://doi.org/10.1016/j.clet.2022.100480.

    Article  Google Scholar 

  • Judge, M., Warren-Myers, G., & Paladino, A. (2019). Using the theory of planned behaviour to predict intentions to purchase sustainable housing. Journal of Cleaner Production, 215, 259–267. https://doi.org/10.1016/j.jclepro.2019.01.029.

    Article  Google Scholar 

  • Kardes, F. R., Cronley, M. L., & Cline, T. W. (2014). Consumer behaviour: Science and practice (2nd ed.). Cengage Learning.

  • Kaveh, B., Mazhar, M. U., Simmonite, B., Sarshar, M., & Sertyesilisik, B. (2018). An investigation into retrofitting the pre-1919 owner-occupied UK housing stock to reduce carbon emissions. Energy and Buildings, 176, 33–44. https://doi.org/10.1016/j.enbuild.2018.06.038.

    Article  Google Scholar 

  • Khoodaruth, A., Oree, V., Elahee, M. K., & Clark, W. W. (2017). Exploring options for a 100% renewable energy system in Mauritius by 2050. Utilities Policy, 44, 38–49. https://doi.org/10.1016/j.jup.2016.12.001.

    Article  Google Scholar 

  • Kim, H. Y., & Chung, J. E. (2011). Consumer purchase intention for organic personal care products. Journal of Consumer Marketing, 28(1), 40–47. https://doi.org/10.1108/07363761111101930.

    Article  Google Scholar 

  • Kline, R. B. (2015). Principles and practice of structural equation modelling (4th ed.). Guilford Publications London.

  • Kotler, P. (1998). Marketing management: Analysis, planning, implementation and control (9th ed.). Pearson Prentice Hall.

  • Kotler, P., & Keller, K. L. (2012). Marketing Management (14th ed.). Pearson Prentice Hall.

  • Kumar, D., Alam, M., Zou, P. X. W., Sanjayan, J. G., & Memon, R. A. (2020). Comparative analysis of building insulation material properties and performance. Renewable and Sustainable Energy Reviews, 131, 110038. https://doi.org/10.1016/j.rser.2020.110038.

    Article  Google Scholar 

  • Leavy, P. (2017). Research Design: Quantitative, qualitative, mixed methods, Arts-Based, and Community-based Participatory Research Approaches. Guilford.

  • Liang, H. H., Chen, C. P., Hwang, R. L., Shih, W. M., Lo, S. C., & Liao, H. Y. (2014). Satisfaction of occupants toward indoor environment quality of certified green office buildings in Taiwan. Building and Environment, 72, 232–242. https://doi.org/10.1016/j.buildenv.2013.11.007.

    Article  Google Scholar 

  • Liu, X., Wang, Q., Wei, H. H., Chi, H. L., Ma, Y., & Jian, I. Y. (2020). Psychological and demographic factors affecting household energy-saving intentions: A TPB-based study in northwest China. Sustainability, 12(3), 1–20. https://doi.org/10.3390/su12030836.

    Article  Google Scholar 

  • Michelsen, C. C., & Madlener, R. (2013). Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany. Energy Policy, 57, 221–233. https://doi.org/10.1016/j.enpol.2013.01.045.

    Article  Google Scholar 

  • Nair, G., Gustavsson, L., & Mahapatra, K. (2010a). Owners perception on the adoption of building envelope energy efficiency measures in Swedish detached houses. Applied Energy, 87(7), 2411–2419. https://doi.org/10.1016/j.apenergy.2010.02.004.

    Article  Google Scholar 

  • Nair, G., Gustavsson, L., & Mahapatra, K. (2010b). Factors influencing energy efficiency investments in existing Swedish residential buildings. Energy Policy, 38(6), 2956–2963. https://doi.org/10.1016/j.enpol.2010.01.033.

    Article  Google Scholar 

  • Nair, G., Mahapatra, K., & Gustavsson, L. (2012). Implementation of energy-efficient windows in Swedish single-family houses. Applied Energy, 89(1), 329–338. https://doi.org/10.1016/j.apenergy.2011.07.040.

    Article  Google Scholar 

  • Nicosia, F. M. (1966). Consumer decision processes: Marketing and advertising implications. Englewood Cliffs, Prentice-Hall.

  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill US.

  • Ofek, S., & Portnov, B. A. (2020). Differential effect of knowledge on stakeholders’ willingness to pay green building price premium: Implications for cleaner production. Journal of Cleaner Production, 251, 119575. https://doi.org/10.1016/j.jclepro.2019.119575.

    Article  Google Scholar 

  • Pang, Z., O’Neill, Z., Li, Y., & Niu, F. (2020). The role of sensitivity analysis in the building performance analysis: A critical review. Energy and Buildings, 209, 109659. https://doi.org/10.1016/j.enbuild.2019.109659.

    Article  Google Scholar 

  • Pardalis, G., Mahapatra, K., Bravo, G., & Mainali, B. (2019). Swedish house owners’ intentions towards renovations: Is there a market for one-stop-shop? Buildings, 9(7), 1–16. https://doi.org/10.3390/buildings9070164.

    Article  Google Scholar 

  • Pelenur, M. J., & Cruickshank, H. J. (2012). Closing the Energy Efficiency gap: A study linking demographics with barriers to adopting energy efficiency measures in the home. Energy, 47(1), 348–357. https://doi.org/10.1016/j.energy.2012.09.058.

    Article  Google Scholar 

  • Poortinga, W., Jiang, S., Grey, C., & Tweed, C. (2018). Impacts of energy-efficiency investments on internal conditions in low-income households. Building Research and Information, 46(6), 653–667. https://doi.org/10.1080/09613218.2017.1314641.

    Article  Google Scholar 

  • Portnov, B. A., Trop, T., Svechkina, A., Ofek, S., Akron, S., & Ghermandi, A. (2018). Factors affecting homebuyers’ willingness to pay green building price premium: Evidence from a nationwide survey in Israel. Building and Environment, 137, 280–291. https://doi.org/10.1016/j.buildenv.2018.04.014.

    Article  Google Scholar 

  • Schiavoni, S., D׳Alessandro, F., Bianchi, F., & Asdrubali, F. (2016). Insulation materials for the building sector: A review and comparative analysis. Renewable and Sustainable Energy Reviews, 62, 988–1011. https://doi.org/10.1016/J.RSER.2016.05.045.

    Article  Google Scholar 

  • Smit, B. (2013). Consumer behavior: Key concepts in hospitality management. Sage.

  • Statistics Mauritius. (2011). Housing and Population Census 2011. Statistics Mauritius.

  • Statistics Mauritius (2020). Population, gender, Age, Education and Income statistics. Statistic Mauritius.

  • Suganda, D. P. (2017). Research methodology: A handbook for beginners. Notion.

  • Tan, Y., Liu, G., Zhang, Y., Shuai, C., & Shen, G. Q. (2018). Green retrofit of aged residential buildings in Hong Kong: A preliminary study. Building and Environment, 143, 89–98. https://doi.org/10.1016/j.buildenv.2018.06.058.

    Article  Google Scholar 

  • Thompson, S. K. (2012). Sampling. 3rd Ed. John Wiley and Sons New York.

  • Toepoel, V., & Schonlau, M. (2017). Dealing with nonresponse: Strategies to increase participation and methods for postsurvey adjustments. Mathematical Population Studies, 24(2), 79–83. https://doi.org/10.1080/08898480.2017.1299988.

    Article  Google Scholar 

  • Trotta, G. (2018). The determinants of energy efficient retrofit investments in the English residential sector. Energy Policy, 120, 175–182. https://doi.org/10.1016/j.enpol.2018.05.024.

    Article  Google Scholar 

  • Tunji-Olayeni, P., Kajimo-Shakantu, K., & Ayodele, T. O. (2023). Factors influencing the intention to adopt green construction: An application of the theory of planned behaviour. Smart and Sustainable Built Environment.

  • UBP. (2020). Technical specifications- concrete blocks production. The United Basalt Products Ltd of Mauritius.

  • Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181, 460–469. https://doi.org/10.1016/J.IJPE.2015.08.031.

    Article  Google Scholar 

  • WBDG. (2022). Whole Building Design Guide. World Green Building Council reports.

  • Węgrzyn, J., & Kania, K. (2024). Heterogeneous preferences for sustainable housing: Evidence from Poland. Journal of Housing and the Built Environment,1–19.

  • WGBC. (2022). Advancing net Zero Carbon. World Green Building Council reports.

  • Yang, J., & Yang, Z. (2015). Critical factors affecting the implementation of sustainable housing in Australia. Journal of Housing and the Built Environment, 30, 275–292. https://doi.org/10.1007/s10901-014-9406-5.

    Article  Google Scholar 

  • Yang, M., Der, Lin, M., Der, Lin, Y. H., & Tsai, K. T. (2017). Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm. Applied Thermal Engineering, 111, 1255–1264. https://doi.org/10.1016/j.applthermaleng.2016.01.015.

    Article  Google Scholar 

  • Yoo, S., Eom, J., & Han, I. (2020). Factors driving consumer involvement in energy consumption and energy-efficient purchasing behavior: Evidence from Korean residential buildings. Sustainability, 12(14), 1–20. https://doi.org/10.3390/su12145573.

    Article  Google Scholar 

  • Zhang, W., & Liu, L. (2022). Unearthing consumers’ intention to adopt eco-friendly smart home services: An extended version of the theory of planned behavior model. Journal of Environmental Planning and Management, 65(2), 216–239. https://doi.org/10.1080/09640568.2021.1880379.

    Article  Google Scholar 

  • Zhang, L., Chen, L., Wu, Z., Zhang, S., & Song, H. (2018). Investigating young consumers’ purchasing intention of green housing in China. Sustainability, 10(4), 1–15. https://doi.org/10.3390/su10041044.

    Article  Google Scholar 

  • Zuo, J., & Zhao, Z. Y. (2014). Green building research–current status and future agenda: A review. Renewable and Sustainable Energy Reviews, 30, 271–281. https://doi.org/10.1016/J.RSER.2013.10.021.

    Article  Google Scholar 

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  1. Open University of Mauritius, Réduit, 80835, Mauritius

    Hashita Joyram

  2. Mauritius Research and Innovation Council, Ebène, 72201, Mauritius

    Hashita Joyram

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Joyram, H. The contextual parameters influence on the eco-block building purchase decision in Mauritius. J Hous and the Built Environ (2024). https://doi.org/10.1007/s10901-024-10128-3

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