Abstract
This paper concentrates on the evaluation of the efficiency of low carbon industrialization in the tourism sector. Combining the general indices of the regional industrialization with the specific characteristics of low carbon development in the tourism sector, a comprehensive index system is scientifically designed. Due to the complexity of the index system and the tight correlation among some indices, rough set theory (RST) is applied to reduce the dimensions of the index system and delete some overlapped information. Then, the data envelopment analysis (DEA) is used to evaluate the efficiency of low carbon industrialization in every year, in order to investigate the development of regional economy, where the year is considered as the Decision-Making Unit (DMU). Furthermore, the super efficiency value of each DMU is calculated to compare the level of low carbon industrialization in each year. Finally, Leshan city, which is a typical representative of a World Cultural and Natural region in China, is considered as a practical application to show the effectiveness of the proposed model. Then, some valuable suggestions are given to help decision makers improve regional development.
Highlights
Massive carbon dioxide emissions from large-scale human activities have resulted in a significant environmental crisis and even some disastrous consequences
This research refers to the definition and evaluation index systems of low-carbon industrialization of some other regions in China, and combines the local factors of the world cultural and natural heritage, and designs the index system according to the scientific principles including systematicness, objectivity, comparability and operability [17,18]
After the index reduction by rough set theory (RST), the data envelopment analysis (DEA) can be used to evaluate efficiency of low carbon industrialization in every year in order to investigate the development of regional economy
Summary
Massive carbon dioxide emissions from large-scale human activities have resulted in a significant environmental crisis and even some disastrous consequences. How to develop low carbon industry and operation efficiency on low-carbon industrialization in the tourism area becomes a significant research in order to protect the World Cultural and Natural heritage and promote the development of regional economy. Mandal and Madheswaran [14] used the panel vector error correction model to investigate the causality between energy consumption and out growth in the Indian cement industry These scholars developed some evaluation measures to estimate the efficiency for some special industries and sectors, few literatures pay their attentions to the tourism region and even the efficiency of the low carbon industrialization. DEA based on rough set theory to evaluate the efficiency of low carbon industrialization in a world cultural and natural heritage.
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