The transfer of new, economically useful knowledge from universities to the regional economy has recently attracted the attention of academics, professionals and policymakers alike. This book focuses on three issues at the centre of current research: the geography of academic knowledge transfers, the mechanisms of these transfers with regard to academic entrepreneurship and graduate mobility, and policy experience in university-based regional economic development. The expert contributors provide state-of-the-art overviews of the field, reviewing and outlining important advancements in theory, empirics and policy analysis. Importantly, the book includes unique case studies of university-based development in three lagging regions of Asia, Europe and North America to illustrate individual experiences. This timely and highly original book will be warmly welcomed by academics, students and researchers focusing on regional science, the economics of innovation, economic growth and technological change. Policymakers involved with regional development and innovation will also find much to interest them in this book.

The Handbook of Universities and Regional Development offers a comprehensive and up-to-date insight into how academic institutions impact and enhance their surroundings. It also sheds light on universities as regional development actors from a historical perspective, both by introducing institutional changes and highlighting the interrelatedness of society, business and academia. Chapters provide comprehensive investigations into knowledge transfer mechanisms to explore the diverse ways in which ideas and intellectual property can flow between universities and businesses. Detailed comparative case studies from across the globe expose the highly contextual nature of interactions between academic institutions and their regions. Regional studies scholars will find this Handbook offers a thorough analysis of the topic, as well as a range of key interpretations on the relationships between universities and regional development. Providing important policy recommendations aimed at creating improved relations between academic institutions and their environment, this thought-provoking Handbook is key reading for regional policy makers as well as university managers and administrators. Contributors include: S. Bagchi-Sen, P. Benneworth, M. Breul, Y. Cai, F. Eckardt, L. Edmunds, K. Erdos, H. Etzkowitz, M.P. Feldman, Z. Gal, H. Goldstein, R. Huggins, A. Inzelt, A. Johnston, H. Lawton Smith, A. Lyytinen, J. Manoel Carvalho de Mello, C. Martinez, P. McCann, L. Melo, E.I. Nwakpuda, R. Ortega-Argiles, P. Ptacek, V. Radinger-Peer, E. Rasmussen, T. Renault, J. Revilla Diez, S. Sedlacek, S. Slaughter, N.M. Sorber, R. Sternberg, V. Sterzi, B.J. Taylor, J. van den Broek, A. Varga, A. Vorderwulbecke, J. Wrana, P. Yang, S.R. Yates

The new EU Cohesion Policy is one of the largest integrated development policies in the Western world, and one of the largest of such programmes anywhere in the world. The reforms to the EU Cohesion Policy contain many different elements each of which interlink in order to provide a cohesive overall framework. Some of the key elements in the reforms, however, relate to the conditionalities employed and their effects on policy governance and the control mechanism, the smart specialization approach to policy prioritization and resource allocation, the underlying place-based logic of the policy, and the overall results orientation and evaluation emphasis of the policy. In each of the areas of the EU Cohesion Policy reforms, many different scholars from the fields of regional studies, regional science and economic geography have played important roles in shaping the new policy, and the chapters here highlight these increasing interactions between the policy and academic spheres of debate. The collection of essays in this book each deal with specific aspects of these critical elements of the Cohesion Policy reforms. In particular, they examine some of the strengths and weaknesses of these individual elements and allowing for a better understanding of the origins and backgrounds of many of the ideas underpinning these reforms. This book was previously published as a special issue of Regional Studies.

The new EU Cohesion Policy is one of the largest integrated development policies in the Western world, and one of the largest of such programmes anywhere in the world. The reforms to the EU Cohesion Policy contain many different elements each of which interlink in order to provide a cohesive overall framework. Some of the key elements in the reforms, however, relate to the conditionalities employed and their effects on policy governance and the control mechanism, the smart specialization approach to policy prioritization and resource allocation, the underlying place-based logic of the policy, and the overall results orientation and evaluation emphasis of the policy. In each of the areas of the EU Cohesion Policy reforms, many different scholars from the fields of regional studies, regional science and economic geography have played important roles in shaping the new policy, and the chapters here highlight these increasing interactions between the policy and academic spheres of debate. The collection of essays in this book each deal with specific aspects of these critical elements of the Cohesion Policy reforms. In particular, they examine some of the strengths and weaknesses of these individual elements and allowing for a better understanding of the origins and backgrounds of many of the ideas underpinning these reforms. This book was previously published as a special issue of Regional Studies.

Cooperation and clusters have become the guiding paradigms for explaining and promoting regional competitiveness, but the cooperation process between firms and universities and the transfer of knowledge in guiding and nurturing regional competitiveness has received relatively little attention. This book strives to fill this gap in highlighting the connection between inter-firm cooperation in regional clusters, innovation and regional networks, and the role of universities in them . It goes beyond the traditional economic approach of clusters and includes 'soft factors' in the explanation of regional competitiveness, and connects the literature on clusters to the literature of learning and knowledge creation as sources of regional competitiveness. It aims to foster an international and interdisciplinary exchange of perspectives by presenting current developments, case studies, best practices as well as new integrated theoretical approaches and applications.

Cooperation and clusters have become the guiding paradigms for explaining and promoting regional competitiveness, but the cooperation process between firms and universities and the transfer of knowledge in guiding and nurturing regional competitiveness has received relatively little attention. This book strives to fill this gap in highlighting the connection between inter-firm cooperation in regional clusters, innovation and regional networks, and the role of universities in them . It goes beyond the traditional economic approach of clusters and includes 'soft factors' in the explanation of regional competitiveness, and connects the literature on clusters to the literature of learning and knowledge creation as sources of regional competitiveness. It aims to foster an international and interdisciplinary exchange of perspectives by presenting current developments, case studies, best practices as well as new integrated theoretical approaches and applications.

4 UNIVERSITY RESEARCH AND THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY INNOVATIONS AND PRIVATE RESEARCH . . . . . . . . 45 4. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4. 2. THE INNOVATION, PRIVATE RESEARCH AND UNIVERSITY RESEARCH DATA . . . . 46 4. 3. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY INNOVATIONS . . . . . . . . . . . . . . . . 50 4. 4. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY R&D ACTIVITIES . . . . . . . . . . . 55 4. 5. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY UNIVERSITY RESEARCH AND ITS RELATION TO INNOVATIONS AND INDUSTRIAL RESEARCH . . . . . . . . . . . . . . . . . . . . . . . . 58 4. 6. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5 LOCAL KNOWLEDGE TRANSFERS: STATE LEVEL ANALYSIS . . . . . . . . . 67 5. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5. 2. STATE ANALYSIS AND LOCAL KNOWLEDGE TRANSFERS: SUMMARY OF EARLIER FINDINGS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 5. 3. ALTERNATIVE INDICATORS OF LOCAL UNIVERSITY KNOWLEDGE TRANSFERS 72 EMPIRICAL RESULT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 5. 4. 5. 5. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 6 THE SPATIAL EXTENT OF UNIVERSITY EFFECTS: MSA LEVEL ANALySIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 6. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 6. 2. THE MODEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 6. 2. ESTIMATION ISSUES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 6. 3. EMPIRICAL RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 6. 4. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 7 FACTORS GOVERNING UNIVERSITY EFFECTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 7. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 7. 2. THE EMPIRICAL MODEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 3. REGRESSION RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 7. 4. SPATIAL VARIATION IN THE INTENSITY OF UNIVERSITY KNOWLEDGE TRANSFERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 7. 5. THE "CRITICAL MASS" OF AGGLOMERATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 7. 6. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 8 SUMMARY AND CONCLUSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 APPENDIX A: DEFINING HIGH TECHNOLOGY FOR THE EMPIRICAL STUDY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 APPENDIX B: VARIABLE DEFINITIONS AND SOURCES . . . . . . . . . . . . . . . . . . . . . . . 131 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 INDEX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 List of Tables Table 2. 1.

4 UNIVERSITY RESEARCH AND THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY INNOVATIONS AND PRIVATE RESEARCH . . . . . . . . 45 4. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4. 2. THE INNOVATION, PRIVATE RESEARCH AND UNIVERSITY RESEARCH DATA . . . . 46 4. 3. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY INNOVATIONS . . . . . . . . . . . . . . . . 50 4. 4. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY R&D ACTIVITIES . . . . . . . . . . . 55 4. 5. THE SPATIAL DISTRIBUTION OF HIGH TECHNOLOGY UNIVERSITY RESEARCH AND ITS RELATION TO INNOVATIONS AND INDUSTRIAL RESEARCH . . . . . . . . . . . . . . . . . . . . . . . . 58 4. 6. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5 LOCAL KNOWLEDGE TRANSFERS: STATE LEVEL ANALYSIS . . . . . . . . . 67 5. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5. 2. STATE ANALYSIS AND LOCAL KNOWLEDGE TRANSFERS: SUMMARY OF EARLIER FINDINGS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 5. 3. ALTERNATIVE INDICATORS OF LOCAL UNIVERSITY KNOWLEDGE TRANSFERS 72 EMPIRICAL RESULT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 5. 4. 5. 5. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 6 THE SPATIAL EXTENT OF UNIVERSITY EFFECTS: MSA LEVEL ANALySIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 6. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 6. 2. THE MODEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 6. 2. ESTIMATION ISSUES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 6. 3. EMPIRICAL RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 6. 4. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 7 FACTORS GOVERNING UNIVERSITY EFFECTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 7. 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 7. 2. THE EMPIRICAL MODEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 3. REGRESSION RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 7. 4. SPATIAL VARIATION IN THE INTENSITY OF UNIVERSITY KNOWLEDGE TRANSFERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 7. 5. THE "CRITICAL MASS" OF AGGLOMERATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 7. 6. SUMMARy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 8 SUMMARY AND CONCLUSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 APPENDIX A: DEFINING HIGH TECHNOLOGY FOR THE EMPIRICAL STUDY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 APPENDIX B: VARIABLE DEFINITIONS AND SOURCES . . . . . . . . . . . . . . . . . . . . . . . 131 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 INDEX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 List of Tables Table 2. 1.

Is it too late for you to really be happy? Have you ever reached a milestone or achieved a long sought after goal only to think, "I thought I would be happier." Many people reach a point in their life where they ask themselves some very hard questions. Their current reality has just not lived up to the ideal they once had and now it seems they are stuck in a perpetual rut destined to repeat the same routine every day while longing for vastly different results. Attila Varga knows what it feels like to look in the mirror one day and wonder, "Is this all there is?" He had a good job in a large financial institution, a wonderful family and what most would think was a very nice life, but inside he felt frustrated and uneasy with the idea that this might be as good as life gets. He also saw this frustration among his coworkers and wondered how much potential was being wasted in the corporate world because employers had no idea how to create a better, happier work environment. Why Not? is the story of Attila's journey toward discovering a much happier and more fulfilling life than he ever thought possible. Now you can use these same concepts reach your full potential. The information and concepts in this book will allow you to achieve results better that you ever imagined, faster than you ever believed possible. Once you see the affect they have on your life you will truly know that your best years are yet to come

The organometallic chemistry of tin and lead, particularly the investigation of the compounds with direct metal-carbon bond, is an attractive research field, the interest shown by the international scientific community on this topic being justified by the outstanding results obtained in a large variety of areas, both of fundamental (the nature of the metal-carbon bond, unusual organometallic species, ligands in the coordination chemistry of the transition metals, supramolecular associations, etc.) and applied interest (polymerization catalysts, specific reagents in organic synthesis, precursors for unconventional materials, biologically active compounds, etc.). The current work presents an overview of the research in the field of hypervalent tin and lead compounds until 2003 and the synthesis and characterization, both in solution and solid state, of some new hypervalent tin and lead compounds, with detailed description of intra- and intermolecular interactions and experimental work.