LEADER 04693oam 2200673I 450 001 9910799902603321 005 20200520144314.0 010 $a0-429-06324-5 010 $a1-4398-4658-8 024 7 $a10.1201/b11823 035 $a(CKB)2670000000174865 035 $a(EBL)888574 035 $a(OCoLC)784953391 035 $a(SSID)ssj0000634518 035 $a(PQKBManifestationID)11383336 035 $a(PQKBTitleCode)TC0000634518 035 $a(PQKBWorkID)10640550 035 $a(PQKB)11333966 035 $a(Au-PeEL)EBL888574 035 $a(CaPaEBR)ebr10547213 035 $a(CaONFJC)MIL539801 035 $a(MiAaPQ)EBC888574 035 $a(EXLCZ)992670000000174865 100 $a20180331d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEconomic time series $emodeling and seasonality /$fedited by William R. Bell, Scott H. Holan, Tucker S. McElroy 210 1$aBoca Raton, Fla. :$cCRC Press,$d2012. 215 $a1 online resource (544 p.) 300 $aA Chapman & Hall book. 311 $a1-4398-4657-X 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Preface; Editors; Contributors; Part I: Periodic Modeling of Economic Time Series; 1. A Multivariate Periodic Unobserved Components Time Series Analysis for Sectoral U.S. Employment; 2. Seasonal Heteroskedasticity in Time Series Data: Modeling, Estimation, and Testing; 3. Choosing Seasonal Autocovariance Structures: PARMA or SARMA?; Part II: Estimating Time Series Components with Misspecified Models; 4. Specification and Misspecification of Unobserved Components Models; 5. Error in Business Cycle Estimates Obtained from Seasonally Adjusted Data 327 $a6. Frequency Domain Analysis of Seasonal Adjustment Filters Applied to Periodic Labor Force Survey SeriesPart III: Quantifying Error in X-11 Seasonal Adjustments; 7. Comparing Mean Squared Errors of X-12-ARIMA and Canonical ARIMA Model-Based Seasonal Adjustments; 8. Estimating Variance in X-11 Seasonal Adjustment; Part IV: Practical Problems in Seasonal Adjustment; 9. Asymmetric Filters for Trend-Cycle Estimation; 10. Restoring Accounting Constraints in Time Series-Methods and Software for a Statistical Agency; 11. Theoretical and Real Trading-Day Frequencies 327 $a12. Applying and Interpreting Model-Based Seasonal Adjustment-The Euro-Area Industrial Production SeriesPart V: Outlier Detection and Modeling Time Series with Extreme Values; 13. Additive Outlier Detection in Seasonal ARIMA Models by a Modified Bayesian Information Criterion; 14. Outliers in GARCH Processes; 15. Constructing a Credit Default Swap Index and Detecting the Impact of the Financial Crisis; Part VI: Alternative Models for Seasonal and Other Time Series Components; 16. Normally Distributed Seasonal Unit Root Tests; 17. Bayesian Seasonal Adjustment of Long Memory Time Series 327 $a18. Bayesian Stochastic Model Specification Search for Seasonal and Calendar EffectsPart VII: Modeling and Estimation for Nonseasonal Economic Time Series; 19. Nonparametric Estimation of the Innovation Variance and Judging the Fit of ARMA Models; 20. Functional Model Selection for Sparse Binary Time Series with Multiple Inputs; 21. Models for High Lead Time Prediction 330 $aEconomic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies.For easier perusal and absorption, the contents have been 606 $aEconometrics 606 $aEconomics, Mathematical 606 $aSeasonal variations (Economics)$xMathematical models 606 $aTime-series analysis$xMathematical models 615 0$aEconometrics. 615 0$aEconomics, Mathematical. 615 0$aSeasonal variations (Economics)$xMathematical models. 615 0$aTime-series analysis$xMathematical models. 676 $a330.01/51955 701 $aBell$b William R.$f1943-$01587651 701 $aHolan$b Scott H$01587652 701 $aMcElroy$b Tucker$01587653 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799902603321 996 $aEconomic time series$93875909 997 $aUNINA LEADER 12507nam 2200613I 450 001 9910745583203321 005 20220607172649.0 010 $a0-429-86324-1 010 $a0-429-46028-7 035 $a(CKB)4920000000055422 035 $a(OCoLC)1099180186 035 $a(OCoLC-P)1099180186 035 $a(FlBoTFG)9780429460289 035 $a(MiAaPQ)EBC7245253 035 $a(Au-PeEL)EBL7245253 035 $a(OCoLC)1378937989 035 $a(ScCtBLL)ccf06617-ba54-496d-bd65-cbd03d976fb2 035 $a(EXLCZ)994920000000055422 100 $a20190425d2019 uy 0 101 0 $aeng 135 $aurcnu---unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFrom waste to value $evalorisation pathways for organic waste streams in bioeconomies /$fedited by Antje Klitkou, Arne Martin Fevolden, and Marco Capasso 205 $a1st ed. 210 1$aAbingdon, Oxon :$cNew York, NY : Routledge,$d2019. 215 $a1 online resource 225 1 $aRoutledge studies in waste management and policy 311 08$a1-138-62497-7 327 $aCover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of figures -- List of tables -- Notes on contributors -- Acknowledgements -- 1 Introduction -- 1.1 Framework -- 1.1.1 Background -- 1.1.2 Defining the concepts - waste valorisation, circularity, sustainable business models and the bioeconomy -- 1.1.3 Methodological approaches -- 1.2 Important themes addressed in the book -- 1.2.1 Circularity across established sectors -- 1.2.2 Regional embedding and geographies of innovation -- 1.2.3 Resource ownership and interfirm governance structures -- 1.2.4 Policy and regulation of waste valorisation -- 1.3 An overview of the book -- References -- Part I: Perspectives on the bioeconomy -- 2 What is the bioeconomy? -- 2.1 Introduction -- 2.2 Methodology -- 2.2.1 Bibliometric analysis -- 2.2.2 Literature review -- 2.3 Bibliometric analysis of scientific literature on the bioeconomy -- 2.4 Bioeconomy visions -- 2.4.1 The bio-technologyvision -- 2.4.2 The bio-resourcevision -- 2.4.3 The bio-ecologyvision -- 2.5 Findings and concluding remarks -- Appendix A -- Appendix B -- Appendix C -- Note -- References -- 3 Theoretical perspectives on innovation for waste valorisation in the bioeconomy -- 3.1 Introduction -- 3.2 The circular bioeconomy -- 3.3 The roles of waste in the bioeconomy -- 3.4 Path dependence and barriers to waste valorisation -- 3.4.1 Path dependence -- 3.4.2 Lock-inmechanisms -- 3.5 Drivers of innovation in waste valorisation -- 3.6 Governance for waste valorisation -- 3.6.1 Directionality through international regulations -- 3.6.2 Directionality through national regulations -- 3.6.3 Directionality through industrial practices -- 3.7 Summary -- Acknowledgements -- References -- Part II: Sector studies -- 4 New path development for forest-based value creation in Norway -- 4.1 Introduction. 327 $a4.2 Forest-based value creation with a focus on the valorisation of side-streams and residues -- Manufacturing of wooden construction materials and furniture -- Bioenergy production -- Manufacturing of pulp and paper -- Storage and transport of residues -- 4.3 Conceptual framework -- 4.4 Analysis of empirical cases -- 4.4.1 Norske Skog Skogn at Fiborgtangen, Trøndelag -- 4.4.2 Treklyngen in Hønefoss, Buskerud -- 4.4.3 Borregaard in Sarpsborg -- 4.5 Conclusion -- Note -- References -- 5 Mission-oriented innovation in urban governance: setting and solving problems in waste valorisation -- 5.1 Introduction -- 5.2 Conceptual framework -- 5.2.1 Mission-orientedinnovation -- 5.2.2 The waste hierarchy and different treatment options for organic waste -- 5.2.3 Valorisation of waste - importance of problem setting -- 5.3 Research methods and data -- 5.4 Valorisation of urban organic waste: the case of Oslo -- 5.5 Analysis: urban waste valorisation as a mission -- 5.5.1 What is the mission given - and to whom? -- 5.5.2 How are missions defined? From problem solving to problem setting -- 5.6 Conclusions -- Note -- References -- 6 Beyond animal feed? The valorisation of brewers' spent grain -- 6.1 Introduction -- 6.2 Value creation and sustainable competitive advantage -- 6.3 Methods -- 6.4 Technical options for spent grain use -- 6.5 Overview of current spent grain management -- 6.6 Why don't the breweries invest in alternative options? -- 6.6.1 Current activities -- 6.6.2 Opportunities -- 6.6.3 Barriers -- 6.6.4 Involvement in research and development projects -- 6.7 Conclusion -- Acknowledgements -- References -- 7 Meat processing and animal by-products: industrial dynamics and institutional settings -- 7.1 Introduction -- 7.2 Theoretical background and approach -- 7.3 The meat processing and ABP industry -- 7.3.1 Potential value of ABP. 327 $a7.4 The meat processing and ABP sector -- 7.4.1 Denmark -- 7.4.2 Norway -- 7.5 Regulation of the meat processing and ABP industry -- 7.5.1 Mad cow disease and EU-regulations -- 7.5.2 Market regulations: novel food products and trade barriers -- 7.6 Change in innovative behaviour -- 7.7 Regulative adjustments -- 7.8 Conclusion -- References -- 8 New pathways for organic waste in land-based farming of salmon: the case of Norway and Denmark -- 8.1 Introduction -- 8.2 Background -- 8.2.1 Aquaculture trends -- 8.2.2 Salmon production -- 8.2.3 Organic waste in salmon production -- 8.2.4 Environmental regulation and historical innovation in salmon production -- 8.3 Methodology -- 8.4 Findings -- 8.4.1 Current utilisation -- Soil improvement -- Replacement of fossil fuel (biogas) -- Combustible material for heating -- 8.4.2 Challenges with current system -- Waste volumes are expected to increase -- Transport -- Immature technology -- 8.5 Analysis -- 8.5.1 Barriers for new pathways -- Lack of available technology -- Economic priorities -- Resistance to go into new business areas -- Patchwork regulation -- Lack of collaboration -- Co-locationissues -- 8.5.2 Socio-technicaltransition -- Actors -- Capabilities -- Networks -- Infrastructures -- Institutions -- 8.6 Conclusion -- 8.6.1 Overcoming the barriers: key actors -- 8.6.2 Impetus for future waste valorisation pathways -- Notes -- References -- 9 Valorisation of whey: a tale of two Nordic dairies -- 9.1 Introduction -- 9.2 Properties and uses of acid whey -- 9.2.1 The properties and composition of acid whey -- 9.2.2 Utilisation of acid whey -- Animal feed -- Biogas -- Bakery -- Whey beverages -- Nutritional products -- Nutrilac® -- 9.2.3 Innovation, commercialisation and technological requirements -- 9.3 The dairy sector in Norway -- 9.3.1 TINE in Norway -- 9.3.2 Utilisation of acid whey in Norway. 327 $a9.3.3 Utilisation of sweet whey in Norway -- 9.4 The dairy sector in Denmark -- 9.4.1 Arla Foods -- 9.4.2 Utilisation of acid whey in Denmark -- 9.4.3 Utilisation of sweet whey in Denmark -- 9.5 Discussion -- 9.5.1 Drivers of whey valorisation -- 9.5.2 The sustainability of different valorisation pathways -- 9.6 Conclusion -- Acknowledgements -- References -- Part III: Cross-sectoral perspectives -- 10 What knowledge does the bioeconomy build upon? -- 10.1 Introduction -- 10.2 Background -- 10.2.1 Knowledge and the bioeconomy -- 10.3 Approach -- 10.3.1 CVs as an analytic lens -- 10.3.2 Data -- 10.3.2.1 Project data -- 10.3.2.2 Researcher data -- 10.4 Empirical findings -- 10.4.1 Organisations and organisational capital -- 10.4.1.1 Norwegian partner entities -- 10.5 Human capital and researchers -- 10.5.1 Researchers -- 10.5.2 Field of science -- 10.5.3 Sectors and seniority -- 10.6 Concluding discussion -- 10.6.1 Limitations -- 10.6.2 Future paths of research -- References -- 11 Actors and innovators in the circular bioeconomy: an integrated empirical approach to studying organic waste stream innovators -- 11.1 Introduction -- 11.2 Background -- 11.3 Empirical sections -- 11.3.1 Baseline: R& -- D activity in the circular bioeconomy -- 11.3.2 Population frame: establishing the NIoBE inventory of active bioeconomy actors -- 11.3.2.1 Identification strategy of the Norwegian Inventory of Bioeconomy Entities (NIoBE) -- 11.3.2.1.1 Confirmation by activity -- 11.3.2.1.2 Confirmation by existing studies -- 11.3.2.1.3 Confirmation by asociation -- 11.3.2.2 The Norwegian Inventory of Bioeconomy Entities (NIoBE) -- 11.3.3 Mapping of innovation in the Norwegian circular economy -- 11.3.3.1 Approach and population -- 11.3.3.2 Results -- 11.4 Preliminary conclusions -- Note -- References -- Part IV: Policy implications. 327 $a12 Directionality and diversity: contending policy rationales in the transition towards the bioeconomy -- 12.1 Introduction -- 12.2 Conceptual framework -- 12.2.1 Contending visions on the bioeconomy -- 12.3 Materials and methods -- 12.4 Background -- 12.5 Findings -- 12.6 Conclusions and reflections -- References -- 13 Multi-level governance of food waste: comparing Norway, Denmark and Sweden -- 13.1 Introduction -- 13.2 Theoretical approach and method -- 13.3 Background -- 13.3.1 Definitions -- 13.3.2 Food waste hierarchy -- 13.3.3 Comparative food waste assessments in Scandinavia -- 13.4 Analysis -- 13.4.1 Food waste governance in Norway -- 13.4.2 Food waste governance in Sweden -- 13.4.3 Food waste governance in Denmark -- 13.4.4 Comparative analysis of governance pathways -- 13.4.5 Comparative analysis from a multi-levelgovernance perspective -- 13.5 Conclusions and policy implications -- Notes -- References -- 14 Life cycle assessment: a governance tool for transition towards a circular bioeconomy? -- 14.1 Introduction -- 14.2 Life cycle assessment as results -- 14.2.1 Being good from just performing life cycle assessment -- 14.2.2 Product benchmarking -- 14.2.3 Detailed insights from life cycle assessment as results -- 14.3 Life cycle assessment as method -- 14.3.1 The functional unit -- 14.3.2 Comparability and standardisation -- 14.3.3 Different life cycle assessments for stable systems and systems in change -- 14.3.4 Dividing impacts on several inputs or outputs -- 14.3.5 What data and data for what? -- 14.3.6 From environment-onlyto "holistic" sustainability -- 14.4 Life cycle assessment as a mindset -- 14.4.1 Life cycle thinking and industrial ecology -- 14.4.2 Time, space and connectedness -- 14.4.3 Circularity -- 14.5 The different dimensions of life cycle assessment used in governance -- 14.5.1 Cross-sectoralpolicy development. 327 $a14.5.2 Pitfalls and possibilities. 330 $aFrom Waste to Value investigates how streams of organic waste and residues can be transformed into valuable products, to foster a transition towards a sustainable and circular bioeconomy. The studies are carried out within a cross-disciplinary framework, drawing on a diverse set of theoretical approaches and defining different valorisation pathways. Organic waste streams from households and industry are becoming a valuable resource in today's economies. Substances that have long represented a cost to companies and a burden for society are now becoming an asset. Waste products, such as leftover food, forest residues and animal carcasses, can be turned into valuable products such as biomaterials, biochemicals and biopharmaceuticals. Exploiting these waste resources is challenging, however. It requires that companies develop new technologies and that public authorities introduce new regulation and governance models. This book helps policy-makers govern and regulate bio-based industries, and helps industry actors to identify and exploit new opportunities in the circular bioeconomy. Moreover, it provides important insights for all students and scholars concerned with renewable energy, sustainable development and climate change. 410 0$aRoutledge Studies in Waste Management and Policy Series 606 $aOrganic wastes$xRecycling 606 $aBUSINESS & ECONOMICS / Development / Sustainable Development$2bisacsh 606 $aSCIENCE / Environmental Science$2bisacsh 615 0$aOrganic wastes$xRecycling. 615 7$aBUSINESS & ECONOMICS / Development / Sustainable Development 615 7$aSCIENCE / Environmental Science 676 $a628.1/68 702 $aKlitkou$b Antje 702 $aFevolden$b Arne 702 $aCapasso$b Marco 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910745583203321 996 $aFrom waste to value$93568787 997 $aUNINA