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Managing Corruption Risk in the Agricultural Sector of Kazakhstan and Its Assessment
Autoři | |
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Rok publikování | 2022 |
Druh | Článek v odborném periodiku |
Časopis / Zdroj | Economics: Strategy and Pr?ctice |
Fakulta / Pracoviště MU | |
Citace | |
www | http://dx.doi.org/10.51176/1997-9967-2022-1-199-211 |
Doi | http://dx.doi.org/10.51176/1997-9967-2022-1-199-211 |
Klíčová slova | Risk; Corruption Risk; Corruption; Agricultural Sector; Classification |
Přiložené soubory | |
Popis | Kazakhstan has a remarkable ability to become the core of food security in the Eurasian region. Obviously, the advantages of Kazakhstan in natural and climatic conditions help strengthen the agricultural sector’s position in its economy. In particular, the positive factors of agricultural sector production are enormous land resources, inland geographical location, and historical background (nomadic cattle breeding, crop production). The agricultural sector is one of the riskiest sectors and manifests itself in climatic, political, technological, financial, corruption, and other issues. It is noted that investments in the industry are mainly represented by state funds (budget, extra-budgetary). Such massive public and private financial investments generate a corruption component effect. The opinion of importance to manage the corruption risk in agriculture is shown. The authors also give the corruption risk concept to analyze the corruption risk features in agriculture. Within the framework of the agricultural specifics, the classification of corruption risks is given. The authors also investigate this risk category’s prerequisites, features, and types. The article presents the internal and external analysis of Kazakhstan’s agriculture corruption risk. Modeling the corruption risk in agriculture as a matrix is proposed as one of the methods of its managing. Forming a standard matrix template with examples of its application shows the significance of preventing measures. In conclusion, there is the need for mutual goals to combat corruption risks both for the state and for agribusiness entities. |