【摘要】 运用AHP层次分析法对影响辽宁省工业旅游创新发展的因素做了定性与定量分析。结果表明,在准则层中规模的影响权重最大,并且超过了一半,水平的影响次之,而效益的影响最弱,揭示了辽宁省工业旅游大而不强的尴尬局面。在因子层中,直接经济效益、工业旅游产品结构和工业旅游开发这3个重要因子的权重很低,揭示了辽宁省工业旅游创新发展的短板。通过对研究数据的分析,从宏观和微观2个层面分别对政府和企业提出了针对性建议。基于市场需求为导向,增加工业旅游的创新发展效益,使游客享受创造的情趣;以科技创新为手段,提高工业旅游的创新发展水平。建立科学的管理发展体系,扩大工业旅游的规模,更好的满足市场需求。更多还原

【Abstract】 AHP analytic hierarchy process(AHP)was used to analyze qualitatively and quantitatively factors affecting the innovation and development of industrial tourism in Liaoning province.The results show that,in rule layer weight analysis,the influence of scale is the largest(more than half),followed by level and benefits.The analysis is correlated with the fact that industrial tourism in Liaoning province is big but not strong.In factor layer analysis,the weights of direct economic benefit,industrial tourism product structure and industrial tourism development are low.It reveals that the above three factors are indeed the soft spots in the innovation and development of industrial tourism in Liaoning province.The model analysis provides valuable macroscopic-and microscopic-insights for the government and enterprises.Based on market demand-oriented,innovation and development efficiency of industrial tourism will be increased,tourist enjoying create fun;Technology and innovation as a means,innovation and development level of industrial tourism will be improved.Scientific management development system is established,the scale of industrial tourism will be expanded,and meets market demand better.更多还原