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Exploring the relationship between freedom from corruption and business governance in the Oceania region

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  • Suwastika Naidu
  • Anand Chand
Abstract
This paper empirically investigates the relationship between Freedom from Corruption Index and business governance in the Oceania region by using the Pearson’s correlation coefficients, ordinary least square regression model and ordinary least square regression based decomposition analysis. This paper found that all eleven business governance indicators are positively correlated to Freedom from Corruption Index. Eight business governance indicators; namely, (1) trading across borders, (2) enforcing contracts, (3) resolving contracts, (4) ease of doing business, (5) registering property, (6) getting credit, (7) paying taxes and (8) starting a business significantly influences Freedom from Corruption Index. One standard deviation increase in eleven business governance indicators is associated with about 3.47 % point increase in Freedom from Corruption Index. All eleven business governance indicators contribute between 20 and 40 % differences in freedom from corruption in the Oceania region. All eleven business governance indicators contribute between 5.17 and 10.88 % to freedom from corruption in the Oceania region. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Suwastika Naidu & Anand Chand, 2014. "Exploring the relationship between freedom from corruption and business governance in the Oceania region," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3489-3509, November.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:6:p:3489-3509
    DOI: 10.1007/s11135-013-9969-3
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    References listed on IDEAS

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    Cited by:

    1. Bo Sui & Gen-Fu Feng & Chun-Ping Chang, 2018. "The pioneer evidence of contagious corruption," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 945-968, March.
    2. Yu Hao & Chun-Ping Chang & Zao Sun, 2018. "Women and corruption: evidence from multinational panel data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1447-1468, July.

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