Presented by
1. Mr. Surapong Soponkij [email protected]
Philosophy Doctorate in Sustainable Energy and
Environmental
Technology and Management (RCSEE) Rajamangala University of Technology Rattanakosin
Dynamic correlations between cluster growth and energy factors, no empirical finding yet
System dynamic modeling approach
Innovative clusters leverage their technological development in cost-benefit energy intensity
Simulates how clusters reflected feedback effects on economic growth and energy consumption
Condition scenarios of energy demand indicated by technological, economical, and sociological factor
Surapong Soponkij, [email protected]
To simulate break-through scenarios among energy factors in technological, economical, and sociological benefit effects in balancing sustainability of cluster dynamic
To probe whether energy intensity make difference in cluster dynamic in term of attracting social capital and foreign investment
Scopes of process-based transitions in cluster dynamic which reinforces economic transition and drives the demand of energy efficiency thoroughly
Advocacy from transition countries EU+ASIA’s enthusiastic public policy maker
Surapong Soponkij, [email protected]
Reducing in energy intensity from small-scale
industry causes demand for energy efficiency
Indicates some relationships between rising
social capital in new SSI and reducing
environmental impact with lower energy
intensity
Conceptual CLD reveals impact of
government policy in correlated scenarios
with dynamic factors
Surapong Soponkij, [email protected]
Cluster Growth and Energy Demand A Reflection on Sustainable Cluster
Theoretical Framework
Local Externality
Technological
Economical
Sociological
Path Dependency
Information
Symmetric
Strategic
Coordination
Upgrading Platform
Surapong Soponkij, [email protected]
Conceptual CLD On Cluster Dynamic
• Dynamic clusters develop strategies
• Clusters share resource activities
• Rich clusters operate efficiently
• Lead markets where sophisticated
buyers encourage
• Knowledge creation and innovation
• Knowledge spillovers
• Higher new business formation rate
• Exhibit differences in cost levels,
quality, features, energy efficiency
• Close-innovation with supplier, buyer
• Better economic combinations
of skills, capital and technology
Surapong Soponkij, [email protected]
Policy Model Hypotheses
New
SSI
Cluster
Dynamic
Demand of Energy Efficiency
Social
Capital Energy
Intensity FDI
Surapong Soponkij, [email protected]
Surapong Soponkij, [email protected]
Scenario 1: Reinforcing Loop
Surapong Soponkij, [email protected]
Scenario 2: Reinforcing Loop
Surapong Soponkij, [email protected]
Scenario 1: Balancing Loop
Surapong Soponkij, [email protected]
Scenario 2: Balancing Loop
Surapong Soponkij, [email protected]
Scenario 1 + 2: Balancing Dynamic
Surapong Soponkij, [email protected]
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Surapong Soponkij, [email protected]
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Surapong Soponkij, [email protected]