LEADER 04556nam 22006615 450 001 9911065991003321 005 20260221120358.0 010 $a981-9568-21-8 024 7 $a10.1007/978-981-95-6821-5 035 $a(MiAaPQ)EBC32556467 035 $a(Au-PeEL)EBL32556467 035 $a(CKB)45408927800041 035 $a(DE-He213)978-981-95-6821-5 035 $a(EXLCZ)9945408927800041 100 $a20260221d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvidence-Based Policymaking in the Big Data Era /$fby Zhaoyuan Liu 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (213 pages) 225 1 $aPolitical Science and International Studies 311 08$a981-9568-20-X 327 $aPart 1. Evidence-Based Policymaking and Big Data: Concepts and Key Themes -- Chapter 1. Introduction -- Chapter 2. Evidence-Based Policymaking: Concepts, Practices, and Key Themes -- Chapter 3. Big Data for Evidence-Based Policymaking: Applications, Benefits, and Limitations -- Part 2. Institutional Practices in Japan and the UK -- Chapter 4. Evidence-Based Policymaking in Japan -- Chapter 5. Evidence Use in English Local Plans -- Chapter 6. SHMAs as Evidence for Local Housing Planning in the UK -- Part 3. Big Data as Policy Evidence: Empirical Studies -- Chapter 7. Empirical Evidence on Factors Affecting Inbound Tourists to Japan -- Chapter 8. Empirical Evidence on Factors Affecting Mobility During the COVID-19 Pandemic -- Chapter 9. Empirical Evidence on Factors Affecting House Prices -- Part 4. Conclusions -- Chapter 10. Rethinking Evidence-Based Policymaking in the Big Data Era. 330 $aThis book investigates the transformative potential of Big Data in advancing Evidence-Based Policymaking (EBPM). As governments grapple with complex challenges, there is increasing demand for using scientific evidence to enhance the quality of policymaking. Through an interdisciplinary approach integrating public administration, Social Big Data analysis, and economics, this book provides practical implications for governments to advance EBPM, while demonstrating how to leverage Social Big Data to support policymaking with concrete policy cases. This book first explains the fundamental concepts of EBPM, including what counts as evidence, why evidence matters, and what procedure ensures effective EBPM implementation. Part II reveals the current status of EBPM practices in two countries: the UK, as a leading nation in EBPM practices and Japan in the nascent stages of adoption. This part examines the persistent shortcomings, and systemic challenges faced by both governments in advancing EBPM. Furthermore, Part III presents empirical analyses across three policy domains: tourism promotion, human mobility control during the Covid-19 pandemic, and house price estimation. The analyses used Social Big Data sources, e.g., Google Trends, SNS, and Google Mobility, to quantify important policy factors and provide evidence for policymaking and evaluation. This book stands out for its contributions in two key areas. First, it reveals the current status of EBPM practices in the UK and Japan, thereby addressing a critical research gap in cross-national EBPM studies. Second, it contributes to both academic research and policy practice by proposing a data-driven EBPM approach and demonstrating its application through specific policy analysis cases. 410 0$aPolitical Science and International Studies 606 $aPublic administration 606 $aPolitical planning 606 $aSocial media 606 $aTourism 606 $aManagement 606 $aPublic Administration 606 $aPolicy Formulation 606 $aPolicy Evaluation 606 $aSocial Media 606 $aTourism Management 615 0$aPublic administration. 615 0$aPolitical planning. 615 0$aSocial media. 615 0$aTourism. 615 0$aManagement. 615 14$aPublic Administration. 615 24$aPolicy Formulation. 615 24$aPolicy Evaluation. 615 24$aSocial Media. 615 24$aTourism Management. 676 $a351 700 $aLiu$b Zhaoyuan$01895271 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911065991003321 996 $aEvidence-Based Policymaking in the Big Data Era$94547846 997 $aUNINA