Indexing
All Issues
Submission
Author Guidelines
Reviewers
Editorial Members
Publication Fee
Vol.1 , No. 4, Publication Date: Aug. 22, 2015, Page: 64-77
&description=Smart development is a nowadays topic. Despite the fact that sustainability has never been aptly computed, Composite Appraising Supportive Progress (CASP) is a pioneering index to assess Combined Sustainable Development Index (CSDI). Biodiversity economics is consistent with the concept of smart development in terms of CASP as: 1. Genes - Society - Universities - Students - Characterization - Supporting Institutions; 2. Species - Economy - Industries - Professors - Guides - Similarity Provisions; 3. Ecosystems - Nature - Organizations - Scientists - Assessments - Planning Management; 4. Functions - Management - Development - Governance - Guidance - Smart Procedures. ACASP is a new approach to educate economists as an opportunity to present educative, engineering, geographic and scientific views on compound procedures for smart development. The current paper is devoted to create CASP for Armenia through smart development using aforementioned biodiversity concept, which is applied to CASP capturing 3 D - Magnitudes with 6 categories each as: Society: Humans, Society Concerns, Knowledge in Practice, Space Science, Political Performances, Transport; Economy: Investment, Human Standards, Production & Consumption, Agriculture, Industry, Tourism; Environment: Land, Water, Air, Biodiversity, Energy, Landscape. The new structure of CASP is performed by means of Armenian existing uniform of proximity relations as smart development through proper governance of situations, knowledge, policies and implementations to progress the economy of Armenia. The geographic proximity types are acquired and categorized as: 1) University (U): Academy (U<sub>1</sub>); Research & Development (R&D) (U<sub>2</sub>); Onsite Performance (U<sub>3</sub>); 2) Industry (I): Industry (I<sub>1</sub>); Business (I<sub>2</sub>); Management (I<sub>3</sub>); 3) Organization (O): Private NGO (O<sub>1</sub>); Public Organization (O<sub>2</sub>); International Organization (O<sub>3</sub>); 4) Application: choice of three (3) main CASP categories within each magnitude as per categorized proximity types of University - Industry - Organization (UIO) through computation of Similarity Index and Similarity Percentage. Performance of Armenian CASP within Smart Development has an emphasis on Space Science with the next representative results as per importance: U – University, N – Nature, S<sub>4</sub> – Space Science, O – Organization, S – Society, E<sub>6</sub> – Tourism, I – Industry, E – Economy, N<sub>4</sub> – Biodiversity. Recommendations are provided to construct species (β) as economy (E) or industry (I) stage through dominancy to regulate genes (α) as society (S) or university (U) stage and ecosystems (γ) as environment (N) or organization (O) stage as per aptly dispensed categories to proceed Armenian CASP.&picture=http://www.aascit.org/aascit/decorators/img/journal/926.jpg)
| [1] | Azniv Felix Petrosyan, Department of Geography & Regional Planning, School of Rural & Surveying Engineering, National Technical University of Athens, Zographou Campus, Athens, Greece; Independent Researcher of Armenia, Zeytun, Yerevan, Armenia. |
Smart development is a nowadays topic. Despite the fact that sustainability has never been aptly computed, Composite Appraising Supportive Progress (CASP) is a pioneering index to assess Combined Sustainable Development Index (CSDI). Biodiversity economics is consistent with the concept of smart development in terms of CASP as: 1. Genes - Society - Universities - Students - Characterization - Supporting Institutions; 2. Species - Economy - Industries - Professors - Guides - Similarity Provisions; 3. Ecosystems - Nature - Organizations - Scientists - Assessments - Planning Management; 4. Functions - Management - Development - Governance - Guidance - Smart Procedures. ACASP is a new approach to educate economists as an opportunity to present educative, engineering, geographic and scientific views on compound procedures for smart development. The current paper is devoted to create CASP for Armenia through smart development using aforementioned biodiversity concept, which is applied to CASP capturing 3 D - Magnitudes with 6 categories each as: Society: Humans, Society Concerns, Knowledge in Practice, Space Science, Political Performances, Transport; Economy: Investment, Human Standards, Production & Consumption, Agriculture, Industry, Tourism; Environment: Land, Water, Air, Biodiversity, Energy, Landscape. The new structure of CASP is performed by means of Armenian existing uniform of proximity relations as smart development through proper governance of situations, knowledge, policies and implementations to progress the economy of Armenia. The geographic proximity types are acquired and categorized as: 1) University (U): Academy (U1); Research & Development (R&D) (U2); Onsite Performance (U3); 2) Industry (I): Industry (I1); Business (I2); Management (I3); 3) Organization (O): Private NGO (O1); Public Organization (O2); International Organization (O3); 4) Application: choice of three (3) main CASP categories within each magnitude as per categorized proximity types of University - Industry - Organization (UIO) through computation of Similarity Index and Similarity Percentage. Performance of Armenian CASP within Smart Development has an emphasis on Space Science with the next representative results as per importance: U – University, N – Nature, S4 – Space Science, O – Organization, S – Society, E6 – Tourism, I – Industry, E – Economy, N4 – Biodiversity. Recommendations are provided to construct species (β) as economy (E) or industry (I) stage through dominancy to regulate genes (α) as society (S) or university (U) stage and ecosystems (γ) as environment (N) or organization (O) stage as per aptly dispensed categories to proceed Armenian CASP.
Keywords
Smart Development, Proximity Relations, Proper Governance, Biodiversity, University-Industry-Organization (UIO), Combined Sustainable Development Index (CSDI), Armenian Composite Appraising Supportive Progress (ACASP)
Reference
| [01] | ARMSTAT (2015). National Statistical Service of Armenia. Website available at: http://armstat.am/en/ |
| [02] | Arakelyan, M., Parham, J., (2008). The Geographic Distribution of Turtles in Armenia and the Nagorno-Karabakh Republic (Artsakh). Chelonian Conservation & Biology 7(1): 70–77. |
| [03] | Bithas, K.P., Nijkamp, P., (2006). Operationalising ecologically sustainable development at the micro-level: pareto optimality and the preservation of biologically crucial levels. International Journal of Environmental Sustainable Development 5(2):126–46. |
| [04] | Dentinho, T.P., (2015). The Theory of Von Thünen Revisited. Lecture Presentation. RSAI Summer Course CBA Dilijan training and research center (Armenia). 38pp. |
| [05] | Deriglazova, L, Minasyan, S., (2011). Nagorno-Karabakh: the Paradoxes of Strength and Weakness in an Asymmetric Conflict. Caucasus Institute Research Papers, # 3, June 2011. –Yerevan: Caucasus Institute: 104pp. |
| [06] | Gallaud D., Torre A., (2005). Geographical proximity and circulation of knowledge through interfirm relationships, ScienzeRegionali, n° 2, 21-35. |
| [07] | Giaoutzi, M., Nijkamp, P., (1994). Decision support models for regional sustainable development.Avebury, Aldershot. |
| [08] | Giaoutzi, M., Nijkamp, P., (1993). Decision support models for sustainable development.Avebury, Aldershot. |
| [09] | Nijkamp, P., Vindigni, G., (2003). Impact assessment of qualitative policy scenarios. A Comparative Case Study on Land Use in Sicily. Management of Environmental Quality: An International Journal 14 (1): 108-133. |
| [10] | NKRSTAT (2015). National Statistical Service of Nagorno-Karabakh Republic. Website available at: http://www.stat-nkr.am/en/ |
| [11] | Nunes, P.A.L.D., Van den Bergh, J.C.J.M., (2001). Economic Valuation of Biodiversity: Sense or Nonsense? Ecology Economics 39 (2): 203-222. |
| [12] | OECD - Organization for Economic Cooperation and Development, (2001). Valuation of Biodiversity Benefits. Selected Studies. Paris. |
| [13] | Petrosyan Azniv (2014). Appraising Biodiversity in Supportive Progress Using GIS Means. LAP LAMBERT, Academic Publishing Company in Saarbrucken, Germany, ISBN: 978-3-659-34415-2, 668 pp. |
| [14] | Petrosyan, A. F., (2015). Spontaneous Estimation of Biodiversity in Composite Appraising Supportive Progress (CASP) of Armenia. Portuguese Association for Regional Development (www.apdr.pt), Regional Science Association International ( www.regionalscience.org). Summer Course in Armenia, Interdisciplinary Analysis and Polices for Regional Sustainability, (http://www.armenia2015.regionalscience.org/) 1th – 5th June, 2015, TezhLer Resort, CBA - Central Bank of Armenia, Dilijan, Armenia. |
| [15] | Petrosyan, A.F., (2010). A Model for Incorporated Measurement of Sustainable Development Comprising Remote Sensing Data and Using the Concept of Biodiversity. Journal of Sustainable Development 3 (2): 9-26. |
| [16] | Petrosyan, A.F., (2005). Economic valuation of biodiversity loss: the case of Mediterranean forest. Participation on the sixth meeting of the ”Développementd’Actions pour le Marketing et la Gestion post-évènements’’- DAMAGE. Athens, Greece, October. |
| [17] | Torre, A. (2015). Clusters, Proximity, and regional innovation policies. Lecture Presentation. RSAI Summer Course CBA Dilijan training and research center (Armenia). 72pp. |
| [18] | Torre, A., Wallet, F., (2013). Regional Development and Proximity Relations. New Horizon in Regional Science. Edward Elga. ISBN: 978-1-78100-288-9, 375pp. |
| [19] | Walton JS, El-Haram M, Castillo NH, Horner RMW, Price ADF, Hardcastle C., (2005). Integrated assessment of urban sustainability. Engineering Sustainability 158 (2):57–65. |
