Religiosity and Risk: Association of Judeo-Christian Ethicality with a Sustainable Business Environment
Abstract
:1. Introduction
2. Literature Review and Research Questions
2.1. Economic Freedom
- RQ1: Is the presence of Judeo-Christian ethicality related to economic freedom?
2.2. Economic Activity
… We find that firms headquartered in highly religious areas are less likely to engage in financial reporting irregularities. … Religious social norms are associated with lower accounting risk and lower likelihoods of misreporting associated with accounting-related shareholder lawsuits and accounting restatements. (McGuire et al. 2012, p. 668).
“…Bring me a denarius that I may see it”. So, they brought it. And he said to them, “Whose image and inscription is this?” They said to him, “Caesar’s”. And Jesus answered and said to them, “Render to Caesar the things that are Caesar’s, and to God the things that are God’s” (Bible Hub 2023b).
- RQ2: Is the presence of Judeo-Christian ethicality related to economic activity?
2.3. Gender Equality
[Jesus] did not overlook gender differences, but he refused to allow gender bias to limit women’s dignity and service. … He spoke with women unselfconsciously, in broad daylight, despite the disapproval of his disciples (John 4: 4–42). … Jesus allowed women to sit at his feet and study his teachings (Luke 10: 38–42), preparing them for service as disciples, evangelists, and teachers. In all ways, the equality of women was self-evident, implicit, and most importantly, consistently part of [Jesus’] practice and teaching.
- RQ3: Is the presence of Judeo-Christian ethicality related to gender equality?
2.4. Social Progress
- RQ4: Is the presence of Judeo-Christian ethicality related to social progress?
2.5. Corruption
A belief in hell tends to mean less corruption. and less corruption tends to mean a higher per capita income…Combining these two stories…suggests that, all else being equal, the more religious a country is, the less corruption it will have and the higher its per capita income will be (cited in Nussbaum 2006, p. 14).
- RQ5: Is the presence of Judeo-Christian ethicality inversely related to corruption?
3. Methodology
4. Results
5. Conclusions
6. Limitations and Future Research
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Nomenclature
Study Variables | |
Variable | Defined |
Judeo-Christian % | Percentage of Christians and Jews in a country’s population. |
Index of Economic Freedom | Measures a country’s level of economic freedom, which incorporates 12 freedoms from rights of property-holders to financial freedom. |
Gender Inequality Index | Measures gender inequalities according to female empowerment, reproductive health, and labor market share. |
Social Progress Index | Measures social progress based on three broad categories of progress connected to basic needs, foundations of wellbeing, and opportunity. |
GDP Per Capita | Gross domestic product (the total monetary value of final goods and services produced in a country in a specific time period) divided by a country’s population. |
Corruption Perceptions Index | Measures perceived corruption based on a compilation of multiple surveys that cover various manifestations of state corruption. |
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Source | Key Findings |
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Economic Freedom | |
Weber (1905) | Protestant Christian asceticism produced a work ethic that contributed to the rise of capitalism. |
Bjørnskov and Berggren (2011) | Countries with stronger legal provisions for safeguarding private property are associated with more highly religious populations. |
Hillman and Potrafke (2018) | A positive relationship exists between economic freedom and the presence of Protestant Christianity. |
Economic Activity | |
Barro and McCleary (2003) | Religious belief is related to economic growth. |
Keller et al. (2007) | Religious faith in the highly Christian US is the most significant factor in personal ethical decision-making. |
Galbraith and Galbraith (2007) | A positive relationship exists between religiosity and entrepreneurial activity and between entrepreneurial activity and economic growth. |
McGuire et al. (2012) | Firms headquartered in higher Christian-concentrated areas in the US are less likely to engage in financial reporting irregularities. |
Boone et al. (2013) | Firms headquartered in higher Christian-concentrated areas in the US are less likely to avoid taxes. |
Kingma and Yeung (2014) | A positive relationship exists between religiosity and being self-employed. |
Deller et al. (2018) | A positive relationship exists between small business activity and Christian, Mormon, and Eastern tradition church congregations. |
Henley (2017) | Increased entrepreneurial activity is positively related to Independent and Christian affiliations. |
Basu and Miroshnik (2021); Joines (2019); Mele and Fontrodona (2017) | The moral virtues embodied in Judeo-Christian ethics are a foundation of business activity. |
Gender Equality | |
Feldmann (2007) | Workforce participation by Protestant Christian women is higher compared to other religious groups. |
Klingorova and Havlíček (2015) | Non-religious countries have the lowest levels of gender inequality. However, among the countries categorized as “non-religious” are countries with a Judeo-Christian presence of over 50 percent. |
Guveli and Spierings’ (2021) | Christian (Catholic and Protestant) and Jewish women have a higher likelihood of employment than other religious groups. |
Social Progress | |
Hummer et al. (1999) | Increased religious involvement is positively related to living a longer life. |
Schultz et al. (2000) | Christians who interpret the Bible literally are more concerned with the effects of environmental damage to themselves and society. |
Klein et al. (2006) | Less drug use is positively associated with greater religiosity. |
Michalak et al. (2007) | Religiosity (in predominantly Christian culture) is positively related to alcohol abstention. |
Edlund et al. (2010) | Lower substance abuse is associated with higher religiosity (in predominantly Christian culture). |
Lin et al. (2020) | Religiosity (in predominantly Christian culture) plays an important role in preventing alcohol use disorder. |
Smith et al. (2019) | Higher levels of religiosity in predominantly Christian US are associated with increased levels of happiness. |
Russell et al. (2020a) | Increases in youth religiosity are associated with decreased in alcohol use. |
Martin and Smith (2015) | Christians have worked to end slavery in the past and to end human trafficking aka modern-day slavery in the present. |
Corruption | |
Smith et al. (2005) | U.S. first President George Washington observes that religious principle is necessary to maintain national morality. |
Melgar et al. (2010) | The extent of religiosity influences levels of perceived corruption. The perception of unethical practices may be more detrimental to a society than the actual corruption. |
Marquette (2012) | Government leaders ask the Church to assist the government in its battle against corruption. |
North et al. (2013) | Historical impact of religiosity lowers levels of corruption and increases rule of law, both are beneficial to sustained economic growth. |
Chantziaras et al. (2020) | Religiosity in the predominantly Christian U.S. is positively associated with issuance of Corporate Social Responsibility reports in the banking industry. |
Judeo- Christian Rank | Country | Judeo- Christian % | Index of Economic Freedom | USD GDP per Capita | Gender Inequality Index * | Social Progress Index | Corruption Perceptions Index ** |
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1 | Nicaragua | 96.1 | 59.2 | 2047 | 0.460 | 64.02 | 20 |
2 | Guatemala | 96.0 | 63.0 | 4542 | 0.479 | 61.67 | 25 |
3 | Honduras | 95.8 | 58.8 | 2602 | 0.423 | 62.41 | 23 |
4 | Costa Rica | 95.7 | 65.0 | 11,860 | 0.288 | 83.01 | 58 |
5 | Paraguay | 95.4 | 62.4 | 5028 | 0.446 | 72.48 | 30 |
6 | Mexico | 94.8 | 63.6 | 9967 | 0.322 | 73.52 | 31 |
7 | Peru | 94.6 | 68.9 | 6677 | 0.395 | 74.22 | 36 |
8 | El Salvador | 94.5 | 64.1 | 4244 | 0.383 | 67.25 | 34 |
9 | Armenia | 94.2 | 70.3 | 4595 | 0.245 | 76.46 | 49 |
10 | Colombia | 94.0 | 69.7 | 5891 | 0.428 | 56.27 | 39 |
11 | Dominican Republic | 93.8 | 63.7 | 8492 | 0.455 | 71.05 | 30 |
12 | Ecuador | 93.7 | 49.3 | 5884 | 0.384 | 75.45 | 36 |
13 | Romania | 93.7 | 69.7 | 14,864 | 0.276 | 78.35 | 45 |
14 | Portugal | 93.3 | 62.6 | 24,457 | 0.075 | 87.79 | 62 |
15 | Argentina | 93.1 | 50.4 | 9929 | 0.328 | 80.66 | 38 |
16 | Slovakia | 92.8 | 65.7 | 21,383 | 0.191 | 83.15 | 52 |
17 | Bolivia | 92.6 | 47.7 | 3267 | 0.417 | 69.23 | 30 |
18 | Croatia | 92.6 | 59.2 | 15,808 | 0.116 | 81.92 | 47 |
19 | Ireland | 91.5 | 76.7 | 102,394 | 0.093 | 90.35 | 74 |
20 | Philippines | 91.0 | 65.6 | 3492 | 0.430 | 66.62 | 33 |
21 | Iceland | 90.3 | 74.4 | 68,844 | 0.058 | 91.09 | 74 |
22 | Namibia | 90.0 | 62.5 | 4693 | 0.440 | 67.14 | 49 |
23 | Lesotho | 89.9 | 53.9 | 1188 | 0.553 | 53.80 | 38 |
24 | Poland | 89.6 | 68.3 | 17,319 | 0.115 | 84.32 | 56 |
25 | Brazil | 89.5 | 52.9 | 7741 | 0.408 | 73.91 | 38 |
26 | Rwanda | 88.9 | 67.6 | 803 | 0.402 | 54.13 | 53 |
27 | Norway | 88.5 | 74.0 | 82,244 | 0.045 | 92.73 | 85 |
28 | Greece | 88.3 | 55.0 | 19,827 | 0.116 | 85.78 | 49 |
29 | Panama | 88.2 | 66.3 | 13,861 | 0.407 | 76.55 | 36 |
30 | Chile | 87.1 | 76.5 | 16,799 | 0.247 | 83.34 | 67 |
31 | Hungary | 86.8 | 65.8 | 18,528 | 0.233 | 81.02 | 43 |
32 | Lithuania | 84.7 | 75.8 | 22,412 | 0.124 | 83.97 | 61 |
33 | Austria | 82.9 | 72.3 | 53,793 | 0.069 | 89.50 | 74 |
34 | Denmark | 82.9 | 75.1 | 67,920 | 0.038 | 92.11 | 88 |
35 | Bulgaria | 82.4 | 67.9 | 11,332 | 0.206 | 79.86 | 42 |
36 | Finland | 81.5 | 74.0 | 53,523 | 0.047 | 91.89 | 88 |
37 | Italy | 81.4 | 62.5 | 35,585 | 0.069 | 87.36 | 56 |
38 | Jamaica | 81.3 | 69.5 | 5422 | 0.396 | 74.75 | 44 |
39 | United States | 79.0 | 75.1 | 63,358 | 0.204 | 85.71 | 67 |
40 | Spain | 77.5 | 63.6 | 30,537 | 0.070 | 88.71 | 61 |
41 | South Africa | 77.5 | 62.3 | 6861 | 0.406 | 70.26 | 44 |
42 | Israel | 77.0 | 69.7 | 49,840 | 0.109 | 83.62 | 59 |
43 | Kenya | 76.7 | 53.5 | 2199 | 0.518 | 57.10 | 30 |
44 | Switzerland | 76.6 | 81.5 | 93,515 | 0.025 | 91.42 | 84 |
45 | Moldova | 75.6 | 58.0 | 4792 | 0.204 | 72.58 | 36 |
46 | Central African Republic | 73.9 | 51.8 | 526 | 0.680 | 31.62 | 24 |
47 | Zimbabwe | 73.7 | 44.0 | 1665 | 0.527 | 52.26 | 23 |
48 | Canada | 73.6 | 78.5 | 52,791 | 0.080 | 91.40 | 74 |
49 | Ukraine | 72.9 | 48.1 | 4384 | 0.234 | 73.38 | 32 |
50 | Cyprus | 71.9 | 67.9 | 29,486 | 0.086 | 86.64 | 53 |
51 | Malawi | 69.5 | 52.2 | 566 | 0.565 | 54.07 | 35 |
52 | Belarus | 69.4 | 58.6 | 7032 | 0.118 | 77.00 | 41 |
53 | Belgium | 67.2 | 67.8 | 50,413 | 0.043 | 89.46 | 73 |
54 | Uruguay | 67.1 | 69.7 | 16,965 | 0.288 | 82.99 | 73 |
55 | Botswana | 65.8 | 70.1 | 7350 | 0.465 | 69.36 | 55 |
56 | Australia | 65.6 | 81.0 | 62,619 | 0.097 | 91.29 | 73 |
57 | Germany | 64.3 | 73.8 | 50,788 | 0.084 | 90.56 | 80 |
58 | France | 62.3 | 63.3 | 45,028 | 0.049 | 88.78 | 71 |
59 | Ghana | 62.3 | 56.2 | 2413 | 0.538 | 64.86 | 43 |
60 | Ethiopia | 60.3 | 52.7 | 940 | 0.517 | 48.59 | 39 |
61 | Latvia | 59.7 | 74.8 | 19,539 | 0.176 | 83.19 | 39 |
62 | Russia | 57.8 | 57.1 | 11,273 | 0.225 | 72.56 | 29 |
63 | United Kingdom | 57.6 | 76.4 | 46,200 | 0.118 | 88.54 | 78 |
64 | Sweden | 55.7 | 74.9 | 58,639 | 0.039 | 91.62 | 85 |
65 | Slovenia | 53.7 | 59.2 | 28,939 | 0.063 | 87.71 | 57 |
66 | Cameroon | 53.5 | 51.8 | 1646 | 0.560 | 51.29 | 27 |
67 | New Zealand | 52.6 | 83.7 | 48,349 | 0.123 | 91.64 | 88 |
68 | Tanzania | 50.7 | 58.6 | 1159 | 0.556 | 56.20 | 39 |
69 | Estonia | 48.9 | 79.1 | 27,101 | 0.086 | 87.26 | 74 |
70 | Netherlands | 47.2 | 75.8 | 57,715 | 0.043 | 91.06 | 82 |
71 | Togo | 45.3 | 53.2 | 1000 | 0.573 | 53.05 | 30 |
72 | Liberia | 39.9 | 49.1 | 703 | 0.650 | 51.37 | 29 |
73 | Benin | 33.5 | 59.2 | 1447 | 0.612 | 55.56 | 42 |
74 | Mauritius | 32.6 | 74.7 | 8682 | 0.347 | 78.96 | 54 |
75 | Lebanon | 32.3 | 53.3 | 2785 | 0.411 | 69.37 | 24 |
76 | Czech Republic | 27.0 | 73.3 | 25,806 | 0.136 | 86.69 | 54 |
77 | Chad | 26.3 | 49.0 | 730 | 0.710 | 31.29 | 20 |
78 | Albania | 26.2 | 64.4 | 5837 | 0.181 | 75.41 | 35 |
79 | Kazakhstan | 21.7 | 69.0 | 10,145 | 0.190 | 72.66 | 37 |
80 | Burkina Faso | 20.4 | 59.6 | 962 | 0.594 | 49.87 | 42 |
81 | Sierra Leone | 13.3 | 52.6 | 541 | 0.644 | 51.74 | 34 |
82 | Egypt | 12.7 | 52.6 | 3852 | 0.449 | 59.98 | 38 |
83 | Indonesia | 12.7 | 61.9 | 4225 | 0.480 | 69.49 | 33 |
84 | Kuwait | 10.1 | 65.1 | 27,927 | 0.242 | 77.47 | 43 |
85 | Myanmar | 8.8 | 52.5 | 1246 | 0.478 | 55.99 | 28 |
86 | Malaysia | 8.6 | 73.8 | 11,125 | 0.253 | 76.96 | 48 |
87 | China | 7.9 | 57.4 | 11,891 | 0.168 | 66.12 | 45 |
88 | Qatar | 6.3 | 40.0 | 61,791 | 0.185 | 70.58 | 63 |
89 | Kyrgyzstan | 6.0 | 61.1 | 1225 | 0.369 | 68.65 | 27 |
90 | Senegal | 4.5 | 55.9 | 1603 | 0.533 | 60.04 | 43 |
91 | Turkmenistan | 4.5 | 60.9 | 8844 | 0.530 | 58.35 | 19 |
92 | Saudi Arabia | 4.3 | 64.4 | 23,762 | 0.252 | 65.06 | 53 |
93 | Sri Lanka | 4.0 | 57.4 | 3666 | 0.401 | 73.20 | 37 |
94 | Laos | 3.5 | 54.0 | 2626 | 0.459 | 51.80 | 30 |
95 | Cambodia | 3.2 | 59.5 | 1647 | 0.474 | 56.27 | 23 |
96 | Azerbaijan | 2.7 | 63.6 | 5167 | 0.323 | 64.11 | 30 |
97 | Mali | 2.7 | 58.6 | 966 | 0.671 | 48.29 | 29 |
98 | India | 2.2 | 52.6 | 2116 | 0.488 | 56.80 | 40 |
99 | Japan | 2.2 | 69.6 | 40,704 | 0.094 | 90.14 | 73 |
100 | Jordan | 2.1 | 66.7 | 4394 | 0.450 | 71.50 | 49 |
101 | Thailand | 1.3 | 66.2 | 7809 | 0.359 | 70.72 | 35 |
102 | Nepal | 1.2 | 55.1 | 1173 | 0.452 | 57.60 | 33 |
103 | Algeria | 1.0 | 46.5 | 3638 | 0.429 | 69.92 | 25 |
104 | Tajikistan | 1.0 | 58.2 | 839 | 0.314 | 56.99 | 33 |
105 | Pakistan | 0.7 | 52.8 | 1255 | 0.538 | 49.25 | 28 |
106 | Turkey | 0.6 | 65.2 | 9407 | 0.306 | 68.27 | 38 |
107 | Tunisia | 0.4 | 55.7 | 3556 | 0.296 | 75.02 | 44 |
108 | Bangladesh | 0.4 | 55.0 | 2139 | 0.537 | 55.23 | 26 |
109 | Mauritania | 0.3 | 54.4 | 2161 | 0.634 | 48.95 | 28 |
110 | Morocco | 0.2 | 61.5 | 3471 | 0.454 | 66.90 | 39 |
111 | Afghanistan | 0.1 | 48.9 | 611 | 0.655 | 42.29 | 16 |
Means | 53.7 | 62.7 | $17,724 | 0.323 | 71.5 | 46.1 |
Variables | Means | p | |
---|---|---|---|
Top Tercile N = 37 | Bottom Tercile N = 37 | ||
Judeo-Christian % | 90.60 | 7.66 | <0.001 |
Economic Freedom Index | 64.88 | 58.60 | <0.001 |
Gender Inequality Index | 0.28 | 0.41 | <0.001 |
Social Progress Index | 76.88 | 63.22 | <0.001 |
GDP Per Capita | USD 20,644 | USD 8152 | 0.004 |
Corruption Perceptions Index | 48.35 | 36.27 | <0.001 |
JC | EF | GDP | GI | SP | C | |
---|---|---|---|---|---|---|
Judeo-Christian % (JC) | 1 | |||||
Economic Freedom (EF) | 0.284 ** (0.002) | 1 | ||||
GDP Per Capita (GDP) | 0.257 ** (0.007) | 0.620 ** (<0.001) | 1 | |||
Gender Inequality (GI) | −315 ** (<0.001) | −0.642 ** (<0.001) | −0.755 ** (<0.001) | 1 | ||
Social Progress (SP) | 0.398 ** (<0.001) | 0.701 ** (<0.001) | 0.725 ** (<0.001) | −0.915 ** (<0.001) | 1 | |
Corruption (C) | 0.277 ** (0.003) | 0.737 ** (<0.001) | 0.847 ** (<0.001) | −0.784 ** (<0.001) | 0.799 ** (<0.001) | 1 |
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Russell, H.M.; Ariail, D.L.; Smith, K.T.; Smith, L.M. Religiosity and Risk: Association of Judeo-Christian Ethicality with a Sustainable Business Environment. J. Risk Financial Manag. 2023, 16, 394. https://doi.org/10.3390/jrfm16090394
Russell HM, Ariail DL, Smith KT, Smith LM. Religiosity and Risk: Association of Judeo-Christian Ethicality with a Sustainable Business Environment. Journal of Risk and Financial Management. 2023; 16(9):394. https://doi.org/10.3390/jrfm16090394
Chicago/Turabian StyleRussell, Hannah Michelle, Donald L. Ariail, Katherine Taken Smith, and Lawrence Murphy Smith. 2023. "Religiosity and Risk: Association of Judeo-Christian Ethicality with a Sustainable Business Environment" Journal of Risk and Financial Management 16, no. 9: 394. https://doi.org/10.3390/jrfm16090394
APA StyleRussell, H. M., Ariail, D. L., Smith, K. T., & Smith, L. M. (2023). Religiosity and Risk: Association of Judeo-Christian Ethicality with a Sustainable Business Environment. Journal of Risk and Financial Management, 16(9), 394. https://doi.org/10.3390/jrfm16090394