Methodology of industry scale analysis under the constraint of regional resource capacity using HSY algorithm

This paper develops a methodology of proper scale analysis for regional industry development, which can be used in industry planning with the consideration of regional resource capacities. In the face of different data sources and even data scarcity, alternative methods based on linear programming a...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Resources, conservation and recycling Ročník 53; číslo 11; s. 631 - 638
Hlavní autoři: Mo, Hongpin, Wen, Zongguo, Chen, Jining
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier B.V 01.09.2009
Elsevier
Témata:
Algorithms
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Breakthrough probability
Chemical engineering
Electronics
Exact sciences and technology
HSY algorithm
Industry planning
Land
Land resource capacity
Mathematical analysis
Methodology
Pollution
Power industry
Quadratic programming
Regional
China, People's Rep., Liaoning Prov., Dalian
Land resource capacity
Industry planning
HSY algorithm
Breakthrough probability
Design
Depletion
Linear programming
Urban area
Planning
Quadratic programming
Algorithm
Mathematical programming
ISSN:0921-3449, 1879-0658
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper develops a methodology of proper scale analysis for regional industry development, which can be used in industry planning with the consideration of regional resource capacities. In the face of different data sources and even data scarcity, alternative methods based on linear programming and quadratic programming algorithms for calculating the resource intensity factors are designed. Based on the empirical study of industrialization, initial scenarios of industry development were set. Using HSY algorithm, sensitive industries that may cause exceeding regional resource capacity can be identified, and the risk of exceeding can be predicted and expressed in probability. Furthermore, a proper scale range can be designed for these sensitive industries according to resource capacity. Taking the case of Dalian city in China, this paper estimated the regional urban development plan, various resources capacities were studied, and land resources were estimated to be the most critical resource for the city. The land resource depletion intensities of different industries are calculated by quadratic programming algorithm. Under the constraint of 427.56 km 2 available industrial land resources, the electronic and power industries have the most significant impact on total land use, if the scale of power industry exceeds 1.27 billion USD, the probability of land resource capacity breakthrough will be 50%.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:0921-3449
1879-0658
DOI:10.1016/j.resconrec.2009.04.013