BUSINESS CONDITIONS REGIONAL ANALYSIS WITH A REFERENCE TO POTENTIALS IN TOURISM DEVELOPMENT: THE CASE OF SERBIA

Đorđe Mitrović, Emilija Manić, S. Ivanović
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Abstract

Purpose – Tourism is one of the fastest-growing sectors in the world, and many developing countries saw it as the chance of economic development accelerating. However, tourism potential is different among countries as well as within one country. The scope of this paper is to reveal the regional differences in business conditions considering tourism development in Serbia. Methodology – Instead of using a wide number of different individual indicators measuring regions’ tourism performances, it is more appropriate to use one composite indicator for depicting complex issues in regional tourism development - a composite index was developed using Data Envelopment Analysis. Data Envelopment Analysis is a sort of methodology that constructs an ‘efficiency frontier’ based on each region’s individual data using mathematical linear programming. It determines the best practice by measuring the relative position of each of the regions in terms of the value of the set of observed indicators. Such presentation of the existing region’s development in the tourism field and recommendations for possible improvement are clearer to the general public and non-scientific audience. The composite index is calculated as the weighted sum of the corresponding individual indicators, where the weights are endogenously determined by mathematical linear programming to obtain the maximum possible value. Findings – The results of DEA showed which parts of Serbia have the best business conditions for tourism development, considering the different factors (regional development index and subindexes). The results have been contrasted to chosen tourism statistics on the regional level, with a reference to the limitations during the research process. The proposed composite index is used to point the differences in regional business conditions which could be further influenced by government policies to tackle the specificities and needs of each separate region during tourism development. Contribution – DEA is a known methodology in regional development analysis, but it hasn’t been so much used in business conditions regional analysis before. Having different indicators which shaped business climate within one region, using DEA one tried to analyze the entrepreneurship possibilities with a spatial reference to the tourism development. This is an important contribution in the context of local economic and social development especially within poorly developed regions in Serbia
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旅游发展潜力的商业条件区域分析:以塞尔维亚为例
目的-旅游业是世界上增长最快的部门之一,许多发展中国家将其视为经济加速发展的机会。然而,旅游潜力在国家之间和一个国家内部是不同的。本文的范围是揭示在塞尔维亚考虑旅游发展的商业条件的区域差异。方法-与其使用大量不同的单独指标来衡量地区的旅游表现,不如使用一个综合指标来描述区域旅游发展中的复杂问题-使用数据包络分析开发了一个综合指数。数据包络分析是一种利用数学线性规划,基于每个地区的个人数据构建“效率边界”的方法。它根据观察到的一组指标的值衡量每个区域的相对位置,从而确定最佳做法。这种对现有区域在旅游领域的发展和可能改进的建议的介绍,对一般公众和非科学观众来说是更清晰的。综合指标计算为对应单项指标的加权和,其中权重由数学线性规划内生确定,以获得最大可能值。调查结果- DEA的结果显示,考虑到不同的因素(区域发展指数和子指数),塞尔维亚哪些地区拥有最好的旅游发展商业条件。研究结果与区域层面的旅游统计数据进行了对比,并指出了研究过程中的局限性。拟议的综合指数用于指出区域商业条件的差异,这些差异可能会受到政府政策的进一步影响,以解决每个单独区域在旅游发展过程中的特殊性和需求。贡献——DEA是区域发展分析中已知的方法,但在商业条件区域分析中应用较少。利用不同的指标来塑造一个区域内的商业环境,利用DEA分析了旅游发展空间参考的创业可能性。这是对地方经济和社会发展的重要贡献,特别是在塞尔维亚欠发达地区
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