PPT-Empirical Strategies to Analyze Regional Innovation Dynamic

Francesco Quatraro University of Torino and BRICK Collegio Carlo Alberto Structure of the lecture Introduction The importance of geography for innovation . Week 22 Chemistry. Warm Up: . 3. Minutes. A certain bag of M&M’s has 8 blue candies, 7 red candies, 4 green candies, and 6 yellow candies. What percentage of the bag is blue M&M’s? . Record your Learning . How can conjectural variation models help?. Alan Crawford and . Benoît. Durand. OFT Seminar. The questions. Can we use conjectural variation models to . measure empirically market power?. identify the source of market power? Can we use conjectural variation models to tell whether market power is the result of product differentiation or collusion? . John Edwards. European. . Commission. Smart. . Specialisation. . Platform. Casa . Mateus. , 19th May 2012. What is Smart . Specialisation. ? . Evidence-based. All assets are considered. No top-down decision, but entrepreneurial discovery process involving key stakeholders. the . nature and . microfoundations. of (sustainable) enterprise performance. David J. . Teece. Shinyoung. Kim. Operations Management. What. are. Dynamic Capabilities?. Dynamic Capabilities. = Dynamic + Capabilities . Objectives. To learn how to work out the percentage composition by weight of a compound. To use percentage composition to work out empirical formulae. Percentage compositions. This means what percentage of each element is present in a compound, and therefore tells you what masses of each element are present in any given mass of a compound. . How can conjectural variation models help?. Alan Crawford and . Benoît. Durand. OFT Seminar. The questions. Can we use conjectural variation models to . measure empirically market power?. identify the source of market power? Can we use conjectural variation models to tell whether market power is the result of product differentiation or collusion? . Chemistry GT 3/20/15. Drill. Calculate the percent composition of Na. 2. SO. 4. .. HW: Molecular Formula WS (pg. 4). MM. =142.05 . g. /mol. 32.37% Na, 22.58% S, 45.05% O. Chem. Joke of the Day. The photon checked into a hotel. What did it say when the bellhop asked for its bag?. Molecular Formulas. Let’s use those mole conversions!. Empirical formula . tells you the lowest ratio of atoms within a molecule. Molecular formula . tells you the actual ratio of atoms within a molecule. Prof. Dr. László . Dinya. PRO. CSEE. NATIONAL PRIORITY STATEMENT . regarding. . the. . Hungarian. Professional . Higher. Education (PHE. ). MAIN ISSUES. Global – national – regional context. The Mole. Chemist’s counting number. amount. of a substance . 1 mole is equal to 6.022 x 10. 23. atoms or particles or molecules (Avogadro’s number). There are always 6.022 x 10. 23 . particles in . Due at end of Period. The compound . benzamide. has the following percent composition. What is the empirical formula? . C . = 69.40 % H= 5.825 % O = 13.21 % N= 11.57 % . 2. A . component of protein called serine has an approximate . Percent Composition. ~percent by mass of atoms present in a compound. = (mass of atom). . (total molar mass) x 100. water is . 88.81 . % Oxygen and . 11.19 . % Hydrogen. O- 16.00/18.016 x 100 = . 88.81 . Daniel Friedman, R. . Mark . Isaac, . Duncan . James . , and Shyam Sunder. Fifth . LeeX. International Conference on . Theoretical and Experimental Macroeconomics . Barcelona GSE Summer Forum, . Universitat. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: DNA Sequence Alignment. DNA sequences can be viewed as strings of .