Abstract
This paper investigates whether political connection of Chief Executive Officer (CEO) in public institutions is associated with organization efficiency. We utilize two types of public institutions in Korea, state-owned enterprises (SOEs) and quasi-governmental organizations (QUANGOs). Using the Data Envelopment Analysis (DEA), we find that CEOs with political connection are positively related to organization efficiency. Specifically, such association is largely driven by QUANGOs whose revenue resource is fully funded and owned by the government. It implies that politically connected CEOs can improve firm efficiency when the organizations are financially dependent on the government and are under its stringent monitoring by government.
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Notes
We use the term “public institutions” throughout this paper to indicate organizations providing public services that are (partially or fully) owned by the government.
Demerjian et al. (2012) include the following seven input variables: property, plant, and equipment (PPE), operating lease, intangible assets such as R&D or goodwill, and operating expenses of cost of goods sold, and SG&A. Considering that their research sample is consists of private companies, the specific input variables we include in our model are different from theirs. However, we try to incorporate the factors to affect firm efficiency based on the literature about public organizations.
The measurement of firm efficiency using the DEA optimization procedure can be summarized in three steps. First, the weights on inputs and outputs are varied such that the ratio of outputs to inputs is maximized for samples sorted out into groups by year. The weights are assigned such that each observation’s weight is maximized with respect to other observations in the same year. The resulting weights are firm-specific. Second, to calculate the ratio-based efficiency scores for each firm, we sum the values obtained by multiplying output and input quantities by the estimated optimal weights derived in the first step. Third, all efficiency scores are scaled by the highest efficiency score within the group, resulting in an ordinal sorting of firms on relative efficiency; the most efficient firm has a value of 1 (Baghdadi et al. 2018).
The interest conflicts between the government and shareholders in SOEs are easily observed. For example, in 2019, Korea Electric Power Corporation (KEPCO) was pressured by the government to restructure its electricity charge system toward lowering rates. However, KEPCO’s board of directors did not accept the revised charge system because the revision would damage its financial status, even though eventually they accepted the revision.
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Shin, H., Ahn, JY. CEO’s Political Connection and Organization Efficiency: Evidence from Public Institutions in Korea. Public Organiz Rev 21, 419–435 (2021). https://doi.org/10.1007/s11115-020-00497-y
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DOI: https://doi.org/10.1007/s11115-020-00497-y