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|a 338.927
|2 23
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|a Thore, Sten A. O.,
|e author.
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|a Measuring sustainable development goals performance /
|c Sten Thore, Ruzanna Tarverdyan.
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|a Amsterdam, Netherlands :
|b Elsevier,
|c 2021.
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|a 1 online resource (1 volume)
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|a text
|b txt
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|a Print version record.
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|a Front Cover -- MEASURING SUSTAINABLE DEVELOPMENT GOALS PERFORMANCE -- MEASURING SUSTAINABLE DEVELOPMENT GOALS PERFORMANCE -- Copyright -- Contents -- Foreword -- Preface -- Introduction -- RECENT INITIATIVES -- ANALYTICAL TREATMENT -- THE COVID-19 CHALLENGE AND THE GREAT RESET -- I -- MULTI-DIMENSIONAL ANALYSIS -- Overview -- One -- Economic growth and sustainability -- 1.1 Gross domestic product and beyond -- 1.2 Doubting the blessings of economic growth -- 1.3 The millennium development goals and the 2030 agenda for sustainable development -- 1.4 The SDG welfare function -- 1.5 Calculating the effectiveness of policy -- 1.6 A brief numerical look -- 1.7 The frontier -- 1.8 Subfrontier nations -- 1.9 Interpretation -- 1.10 Concluding thoughts -- Two -- Diagnostics for economic and social policy -- 2.1 International initiatives -- 2.2 Tinbergen on economic policy -- 2.3 Goals of economic and social policy -- 2.4 The policy parameters -- 2.5 The effectiveness of economic and social policy -- 2.6 Data envelopment analysis -- 2.7 Constructing the frontier -- 2.8 The mathematics of data envelopment analysis -- Three -- Before and after the pandemic: a dashboard of sustainable development goal metrics for assessing individual ... -- 3.1 Dimensions of individual well-being -- 3.2 Successes and failures -- 3.3 The political impact of the sustainable development goals -- 3.4 The list of policy instruments -- 3.5 A first look at the computing results: Pareto optimal OECD nations -- 3.6 Disequilibrium: the deficit countries -- 3.7 Asking questions -- 3.8 The COVID-19 pandemic: a tentative cognitive map of causes and effects -- 3.9 Official measures of the spread of the virus -- 3.10 A numerical illustration: expanded frontier calculations incorporating the virus survival rate as a sustainable development ... -- Four -- Disequilibrium and chaos.
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|a 4.1 Path-dependency, lock-in, evolution, creative destruction -- 4.2 Diffusion, self-organization, and chaos -- 4.3 Dissipative processes and disequilibrium -- 4.4 The arrow of time -- Five -- The founding fathers of data envelopment analysis: A. Charnes and W.W. Cooper -- 5.1 The early days of linear programming -- 5.2 Goal programming -- 5.3 Three friends closing ranks -- 5.4 Data envelopment analysis -- EPILOGUE -- 1 ON THE SHORTCOMINGS OF MAINSTREAM ECONOMIC THEORY -- 2 ON THE IMPUISSANCE OF COVID-19 POLICY -- GAMS PROGRAM -- II -- A GENEVA CONSENSUS -- Six -- Beyond Gross Domestic Product -- 6.1 Recognizing the limitations of Gross Domestic Product -- 6.2 The search for a more meaningful metric -- 6.2.1 The human development index and beyond -- 6.2.2 The Sarkozy Commission -- 6.3 Recent progress -- 6.4 An indicator pyramid -- 6.5 Composite indicators -- 6.6 Empirical production/transformation functions -- 6.7 Why data envelopment analysis? -- Seven -- Beyond the Washington Consensus -- 7.1 The Washington Consensus -- 7.2 The Washington Consensus criticized -- 7.3 Post-Washington Consensus -- 7.4 The Barcelona Development Agenda -- 7.5 The way forward -- Eight -- Toward a sustainable globalization -- 8.1 Challenges of globalization -- 8.2 The social dimension of globalization -- 8.3 Widening inequalities -- 8.4 The Oxford Martin Commission -- 8.5 Globalization and poverty -- 8.6 Partnerships for sustainable globalization -- 8.7 Social assessment -- Nine -- Toward a Geneva Consensus -- 9.1 Sustainability and trade-offs -- 9.2 What should economists do? -- 9.3 Bridging the gap between science and policy -- 9.4 Rating country performance by frontier analysis -- 9.5 Data envelopment analysis dual framework, utility maximization, and exchange -- 9.6 Measuring sustainable development goals performance in the age of globalization.
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|a 9.7 Agenda 2030 in post-COVID-19 global reset -- 9.8 The Geneva Consensus Foundation: a tribute to William W. Cooper -- 9.9 Geneva Consensus global decision-making system -- 9.10 Data revolution -- 9.11 Way forward: a quest for a new paradigm -- Ten . Toward a new social contract -- 10.1 Policy failures and the quest for shared prosperity -- 10.2 The UN reform: from Versailles to Geneva and New York -- 10.3 Beyond a broken social contract -- 10.4 The Calculus of consent, group rationality, and Pareto optimality -- 10.5 Consensus as a norm -- 10.6 A utility function nonexistent until "discovered" -- 10.7 Pareto-Koopmans optimality criteria of fairness and justice -- 10.8 Toward a new social contract for recovery and resilience -- 10.9 Why "Geneva Consensus"? -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z -- Back Cover.
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|a Sustainable development.
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|a D�eveloppement durable.
|0 (CaQQLa)201-0207835
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|a sustainable development.
|2 aat
|0 (CStmoGRI)aat300180396
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|a Sustainable development
|2 fast
|0 (OCoLC)fst01139731
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|a Tarverdyan, Ruzanna,
|e author.
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8 |
|i Print version:
|a Thore, Sten A. O.
|t Measuring sustainable development goals performance.
|d Amsterdam : Elsevier, 2021
|z 9780323902687
|w (OCoLC)1272886051
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856 |
4 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780323902687
|z Texto completo
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