Surapong soponkij cluster growth and energy demand cld presentation

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]