An Overview of the Knowledge Economy, with a Focus on Arizona
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Integrated Regional Econometric and Input-Output Modeling
Integrated Regional Econometric and Input-Output Modeling Sergio J. Rey12 Department of Geography San Diego State University San Diego, CA 92182 [email protected] January 1999 1Part of this research was supported by funding from the San Diego State Uni- versity Foundation Defense Conversion Center, which is gratefully acknowledged. 2This paper is dedicated to the memory of Philip R. Israilevich. Abstract Recent research on integrated econometric+input-output modeling for re- gional economies is reviewed. The motivations for and the alternative method- ological approaches to this type of analysis are examined. Particular atten- tion is given to the issues arising from multiregional linkages and spatial effects in the implementation of these frameworks at the sub-national scale. The linkages between integrated modeling and spatial econometrics are out- lined. Directions for future research on integrated econometric and input- output modeling are identified. Key Words: Regional, integrated, econometric, input-output, multire- gional. Integrated Regional Econometric+Input-Output Modeling 1 1 Introduction Since the inception of the field of regional science some forty years ago, the synthesis of different methodological approaches to the study of a region has been a perennial theme. In his original “Channels of Synthesis” Isard conceptualized a number of ways in which different regional analysis tools and techniques relating to particular subsystems of regions could be inte- grated to achieve a comprehensive modeling framework (Isard et al., 1960). As the field of regional science has developed, the term integrated model has been used in a variety of ways. For some scholars, integrated denotes a model that considers more than a single substantive process in a regional context. -
A NEW VISION of the KNOWLEDGE ECONOMY Brian Chi-Ang Lin National Chengchi University
A NEW VISION OF THE KNOWLEDGE ECONOMY Brian Chi-ang Lin National Chengchi University Abstract. To date, more than half of the output in the major OECD countries has been knowledge based. This paper argues, however, that the current growth- oriented exposition of the knowledge economy rooted in the conventional concept of free competition is insufficient for promoting the long-term development of human societies. Although we now live in a knowledge economy, most countries have been concurrently characterized by serious phenomena such as environmental degradation and growing economic inequality. The prospect of meeting global commitments, for instance, to reducing inequality, as outlined in the 1995 World Summit for Social Development in Copenhagen and endorsed in the United Nations Millennium Declaration, is bleak and the global society as a whole has become less and less sustainable. Indeed, the world is better seen as composed of numerous (but finite) knowledge economies. To take up the challenge of sustainable development of human societies, we have to develop a pluralistic perspective of the knowledge economy and fully acknowledge the characteristics of each unique knowledge system (such as indigenous knowledge possessed by a small tribe). Once we can help each individual knowledge system develop into a specific set of economic institutions that freely exchange concepts and beliefs with each other in a global environment, we will be able to develop a global economy that embodies a value-committed basis that assures a sustainable path of development on earth. Keywords. Economic inequality; Growth; Indigenous knowledge; Sustainable development; The knowledge economy There are changes in other spheres too which we must expect to come. -
Aggregate Productivity Growth: Lessons from Microeconomic Evidence
Aggregate Productivity Growth: Lessons from Microeconomic Evidence Lucia Foster, John Haltiwanger and C.J. Krizan* June 2000 * Respectively, Bureau of the Census; University of Maryland, Bureau of the Census, and NBER; and Fannie Mae and Bureau of the Census. We thank Tomas Dvorak for helpful research assistance. The analyses and results presented in this paper are attributable to the authors and do not necessarily reflect concurrence by the Bureau of the Census. 1 I. Overview Recent research using establishment and firm level data has raised a variety of conceptual and measurement questions regarding our understanding of aggregate productivity growth.1 Several key, related findings are of interest. First, there is large scale, ongoing reallocation of outputs and inputs across individual producers. Second, the pace of this reallocation varies over time (both secularly and cyclically) and across sectors. Third, much of this reallocation reflects within rather than between sector reallocation. Fourth, there are large differentials in the levels and the rates of growth of productivity across establishments within the same sector. The rapid pace of output and input reallocation along with differences in productivity levels and growth rates are the necessary ingredients for the pace of reallocation to play an important role in aggregate (i.e., industry) productivity growth. However, our review of the existing studies indicates that the measured contribution of such reallocation effects varies over time and across sectors and is sensitive to measurement methodology. An important objective of this paper is to sort out the role of these different factors so that we can understand the nature and the magnitude of the contribution of reallocation to aggregate productivity growth. -
The Role of Monetary Policy in the New Keynesian Model: Evidence from Vietnam
The role of monetary policy in the New Keynesian Model: Evidence from Vietnam By: Van Hoang Khieu William Davidson Institute Working Paper Number 1075 February 2014 The role of monetary policy in the New Keynesian Model: Evidence from Vietnam Khieu, Van Hoang Graduate Student at The National Graduate Institute for Policy Studies (GRIPS), Japan. Lecturer in Monetary Economics at Banking Academy of Vietnam. Email: [email protected] Cell phone number: +81-8094490288 Abstract This paper reproduces a version of the New Keynesian model developed by Ireland (2004) and then uses the Vietnamese data from January 1995 to December 2012 to estimate the model’s parameters. The empirical results show that before August 2000 when the Taylor rule was adopted more firmly, the monetary policy shock made considerable contributions to the fluctuations in key macroeconomic variables such as the short-term nominal interest rate, the output gap, inflation, and especially output growth. By contrast, the loose adoption of the Taylor rule in the period of post- August 2000 leads to a fact that the contributions of the monetary policy shock to the variations in such key macroeconomic variables become less substantial. Thus, one policy implication is that adopting firmly the Taylor rule could strengthen the role of the monetary policy in driving movements in the key macroeconomic variables, for instance, enhancing economic growth and stabilizing inflation. Key words: New Keynesian model, Monetary Policy, Technology Shock, Cost-Push Shock, Preference Shock. JEL classification: E12, E32. 1 1. Introduction Explaining dynamic behaviors of key macroeconomic variables has drawn a lot of interest from researchers. -
1- TECHNOLOGY Q L M. Muniagurria Econ 464 Microeconomics Handout
M. Muniagurria Econ 464 Microeconomics Handout (Part 1) I. TECHNOLOGY : Production Function, Marginal Productivity of Inputs, Isoquants (1) Case of One Input: L (Labor): q = f (L) • Let q equal output so the production function relates L to q. (How much output can be produced with a given amount of labor?) • Marginal productivity of labor = MPL is defined as q = Slope of prod. Function L Small changes i.e. The change in output if we change the amount of labor used by a very small amount. • How to find total output (q) if we only have information about the MPL: “In general” q is equal to the area under the MPL curve when there is only one input. Examples: (a) Linear production functions. Possible forms: q = 10 L| MPL = 10 q = ½ L| MPL = ½ q = 4 L| MPL = 4 The production function q = 4L is graphed below. -1- Notice that if we only have diagram 2, we can calculate output for different amounts of labor as the area under MPL: If L = 2 | q = Area below MPL for L Less or equal to 2 = = in Diagram 2 8 Remark: In all the examples in (a) MPL is constant. (b) Production Functions With Decreasing MPL. Remark: Often this is thought as the case of one variable input (Labor = L) and a fixed factor (land or entrepreneurial ability) (2) Case of Two Variable Inputs: q = f (L, K) L (Labor), K (Capital) • Production function relates L & K to q (total output) • Isoquant: Combinations of L & K that can achieve the same q -2- • Marginal Productivities )q MPL ' Small changes )L K constant )q MPK ' Small changes )K L constant )K • MRTS = - Slope of Isoquant = Absolute value of Along Isoquant )L Examples (a) Linear (L & K are perfect substitutes) Possible forms: q = 10 L + 5 K Y MPL = 10 MPK = 5 q = L + K Y MPL = 1 MPK = 1 q = 2L + K Y MPL = 2 MPK = 1 • The production function q = 2 L + K is graphed below. -
Charting a Growth Path for Iceland Acknowledgements
McKinsey Scandinavia A synopsis can feature on the cover. It is recommended that it is kept short, so that it does not compete with the images and title. Charting a Growth Path for Iceland Acknowledgements We wish to acknowledge the many representatives of Icelandic companies, industry associations, government organization, political parties and other organizations that have contributed valuable input and discussions over the course of this project. We would also like to acknowledge Statistics Iceland, Creditinfo, Datamarket and Heimur Publishing for their assistance in collecting and processing data. We have had the privilege of the invaluable support of an academic advisor – Friðrik Már Baldursson, Professor at Reykjavik University. A number of local experts have also provided us with a discerning perspective on Iceland’s core industries. Finally, Reykjavik University has provided us with excellent logistical support during the time we have spent in Iceland. The team driving the work has included Klemens Hjartar, Atli Knutsson, Martin Bech Holte, Svein Harald Øygard, Martin Hjerpe, Frosti Olafsson, Marie Louise Bunckenburg and Halldor Sigurdsson, and we have also been helped by the great enthusiasm, support and knowledge of our colleagues at McKinsey – both at McKinsey Global Institute, in Scandinavia and around the World. The photos in this report are courtesy of Pálmi Einarsson and Dimitri Siavelis. The cover photo of Gerður Helgadóttir’s (1928–1975) mosaic artwork on the Icelandic custom house, is made available courtesy of her relatives. Produced by Glasmalerei Dr. H. Oidtmann, and revealed on September 7, 1973, this mosaic is one of the most defining landmarks in Reykjavik. About McKinsey & Company McKinsey & Company is a management consultancy firm that helps many of the world’s leading corporations, institutions and governments address their strategic challenges. -
Advanced Macroeconomics 8. Growth Accounting
Advanced Macroeconomics 8. Growth Accounting Karl Whelan School of Economics, UCD Spring 2020 Karl Whelan (UCD) Growth Accounting Spring 2020 1 / 20 Growth Accounting The final part of this course will focus on \growth theory." This branch of macroeconomics concerns itself with what happens over long periods of time. We will look at the following topics: 1 What determines the growth rate of the economy over the long run and what can policy measures do to affect it? 2 What makes some countries rich and others poor? 3 How economies behaved prior to the modern era of economic growth. 4 The tensions between economic growth and environmental sustainability. We will begin by covering \growth accounting" { a technique for explaining the factors that determine growth. Karl Whelan (UCD) Growth Accounting Spring 2020 2 / 20 Production Functions We assume output is determined by an aggregate production function technology depending on the total amount of labour and capital. For example, consider the Cobb-Douglas production function: α β Yt = At Kt Lt where Kt is capital input and Lt is labour input. An increase in At results in higher output without having to raise inputs. Macroeconomists usually call increases in At \technological progress" and often refer to this as the \technology" term. At is simply a measure of productive efficiency and it may go up or down for all sorts of reasons, e.g. with the imposition or elimination of government regulations. Because an increase in At increases the productiveness of the other factors, it is also sometimes known as Total Factor Productivity (TFP). -
2015: What Is Made in America?
U.S. Department of Commerce Economics and2015: Statistics What is Made Administration in America? Office of the Chief Economist 2015: What is Made in America? In October 2014, we issued a report titled “What is Made in America?” which provided several estimates of the domestic share of the value of U.S. gross output of manufactured goods in 2012. In response to numerous requests for more current estimates, we have updated the report to provide 2015 data. We have also revised the report to clarify the methodological discussion. The original report is available at: www.esa.gov/sites/default/files/whatismadeinamerica_0.pdf. More detailed industry By profiles can be found at: www.esa.gov/Reports/what-made-america. Jessica R. Nicholson Executive Summary Accurately determining how much of our economy’s total manufacturing production is American-made can be a daunting task. However, data from the Commerce Department’s Bureau of Economic Analysis (BEA) can help shed light on what percentage of the manufacturing sector’s gross output ESA Issue Brief is considered domestic. This report works through several estimates of #01-17 how to measure the domestic content of the U.S. gross output of manufactured goods, starting from the most basic estimates and working up to the more complex estimate, domestic content. Gross output is defined as the value of intermediate goods and services used in production plus the industry’s value added. The value of domestic content, or what is “made in America,” excludes from gross output the value of all foreign-sourced inputs used throughout the supply March 28, 2017 chains of U.S. -
Neoliberalism, Higher Education, and the Knowledge Economy: from The
This article was downloaded by: On: 28 September 2010 Access details: Access Details: Free Access Publisher Routledge Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37- 41 Mortimer Street, London W1T 3JH, UK Journal of Education Policy Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713693402 Neoliberalism, higher education and the knowledge economy: from the free market to knowledge capitalism Mark Olssena; Michael A. Petersb a University of Surrey, UK b University of Glasgow, UK To cite this Article Olssen, Mark and Peters, Michael A.(2005) 'Neoliberalism, higher education and the knowledge economy: from the free market to knowledge capitalism', Journal of Education Policy, 20: 3, 313 — 345 To link to this Article: DOI: 10.1080/02680930500108718 URL: http://dx.doi.org/10.1080/02680930500108718 PLEASE SCROLL DOWN FOR ARTICLE Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. -
Parental Socioeconomic Status, Child Health, and Human Capital Janet
Parental Socioeconomic Status, Child Health, and Human Capital Janet Currie and Joshua Goodman ABSTRACT Parental socioeconomic status (SES) may affect a child’s educational outcomes through a number of pathways, one of which is the child’s health. This essay asks two questions: What evidence exists about the effect of parental SES on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? We conclude that there is strong evidence of both links. Introduction Investments in education pay off in the form of higher future earnings, and differences in educational attainments explain a significant fraction of the adult variation in wages, incomes, and other outcomes. But what determines a child’s educational success? Most studies point to family background as the primary factor. But why does background matter? While many aspects are no doubt important, research increasingly implicates health as a potentially major factor. The importance of health for education and earnings suggests that if family background affects child health, then poor child health may in turn affect education and future economic status. What evidence exists about the effect of parental socioeconomic status (SES) on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? A great deal of evidence shows that low SES in childhood is related to poorer future adult health (Davey Smith et al., 1998). The specific question at the heart of this review is whether low parental SES affects future outcomes through its effects on child health. In most of the studies cited, SES is defined by parental income or poverty status, though some measure SES through residential neighborhood or parental schooling attainment. -
Towards Productivity Comparisons Using the KLEMS Approach: an Overview of Sources and Methods
Towards Productivity Comparisons using the KLEMS Approach: An Overview of Sources and Methods Marcel Timmer Groningen Growth and Development Centre and The Conference Board July 2000 Acknowledgements This report is a feasibility study into an international productivity project using the KLEM growth accounting methodology. It could not have been written without the help of many people. Thanks are due to Bart van Ark, Robert McGuckin, Mary O'Mahony and Dirk Pilat who provided me with helpful comments on earlier drafts of this report. During my visit to the Kennedy School of Government, Harvard University, Mun Ho, Kevin Stiroh and Dale Jorgenson provided me with many insights into the theories and empirical applications of the KLEM-methodology. Discussions with Frank Lee, Wulong Gu and Jianmin Tang (Industry Canada), René Durand (Statistics Canada) and Svend E. Hougaard Jensen, Anders Sørensen, Mogens Fosgerau and Steffen Andersen of the Center of Economic and Business Research (CEBR) provided further insights and new ideas. At the meeting of the KLEM-research consortium on 9 and 10 December at the Centre of Economic and Business Research (CEBR), Copenhagen, consortium members provided me with relevant information, references on ongoing projects and helpful suggestions.Their help is gratefully acknowledged. Prasada Rao (University of New England) is thanked for his advice on the section on purchasing power parities. Finally, the Conference Board is acknowledged for financing the preparation of this report. 1 TABLE OF CONTENTS EXECUTIVE SUMMARY 3 1. INTRODUCTION 5 2. EXISTING DATA SOURCES AND PREVIOUS RESEARCH 7 3. INPUT-OUTPUT TABLES 11 4. LABOUR INPUT 17 4.1 Hours worked 18 4.2 Labour costs 20 4.3 Proposed Cross-Classification for Labour Input 22 5. -
Syllabus “Knowledge-Based Economy”
SYLLABUS “KNOWLEDGE-BASED ECONOMY” Lecturer (name, academic title, e-mail): Elena Zashchitina, assistant, e-mail: [email protected] Department responsible for the course or equivalent: Institute of Management in Economic, Ecological and Social Systems; Department of Business Economics Semester when the course unit is delivered: 2nd Level of course unit: Bachelor level, Master level ECTS credits: 5 ADMISSION REQUIREMENTS Applicants are expected to have completed the following courses: • Economic History; • Introduction to Economic Theory; • Principles of Macroeconomics; • Global Economy; • Institutional economics; • Principles of Microeconomics; • Business Economics; • Statistical Method in Economics; • Labor Economics. COURSE OBJECTIVES (AIMS) • to develop a holistic vision of the state-of-the art, the tendencies and the challenges of the knowledge-based economy; • to introduce the basic ideas, theories and industries of knowledge-based economy; • to examine the main knowledge management provisions and to give a grounding in the best knowledge management practices and techniques; • to introduce knowledge technologies used by businesses, being the basis of an effective knowledge management system; • to demonstrate how to identify knowledge processes in practice, manage them using IT; • to specify the criteria of human capital formation and development; • to analyze best practices, challenges and opportunities of the implementation of knowledge-based economy in Russia and other countries by reviewing and assessing the features of the modern state of knowledge-based economy development; • to prepare students to operate in a dynamic enterprise environment in the context of intellectual capital management. COURSE CONTENTS Session 1. Knowledge-Based Economy Formation and Development • Basic characteristics, concepts and issues; •The change of companies’ nature in new economy (K-Е Sveiby); • Knowledge staircase by K.