Measurement of campaign efficiency in the 2020 elections using data envelopment analysis
Keywords:
Elections, Data Envelopment Analysis (DEA), Efficiency, Political CampaignAbstract
Data envelopment analysis (DEA) is used to analyze the efficiency of political parties campaign spending. DEA is a method to estimate a relative efficiency of decision making units (DMUs) performing similar tasks in the production system that consumes multiple inputs to produce multiple outputs. In this research paper DMUs represent 24 political parties and the production system represents the election campaign 2020. The input variable selected for the study is the cost for the political campaign. The output variables are the number of votes that the political party received in the election, number of points for the election program and the third output is the number of members of the government. For the efficiency analysis was used the BCC output oriented model which assumes variable returns to scale. The aim of the paper is twofold. The first task is to analyze input and output variables of individual political parties. The second aim is to point out and interpret the results of DEA analysis.
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