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Does Confucianism Prompt Firms to Participate in Poverty Alleviation Campaigns?

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Abstract

This study examines the influence of Confucianism on corporate poverty alleviation (PA) participation. We argue that firms in regions with more Confucian temples are more likely to participate in government-initiated PA programs because Confucianism emphasizes common social welfare. This positive relationship is stronger for firms with chief executive officers born in Confucian regions and for firms that are under high media pressure, as the trade-off between social welfare and firm interest is in favor of Confucianism. Using a sample of Chinese-listed firms, we find evidence supporting our arguments. Moreover, we find consistent evidence that firms influenced by Confucianism are motivated to pay long-term attention to PA activities and improve corporate PA efficiency, highlighting the substantive role of Confucianism in a PA campaign. Our study contributes to the business ethics literature by introducing Confucianism into research on corporate social activities and provides practical implications.

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Notes

  1. Confucianism developed different systems over its history, including Pre-Qin Confucianism (先秦儒學) and Song Ming Confucianism (宋明儒學) (Ming, 2007; Shen, 2014). It is useful to note that our theoretical development is rooted in the Pre-Qin Confucianism. We thank an anonymous reviewer for helping us to define the scope of our study.

  2. https://www.cief.org.cn/.

  3. We also conducted additional tests using a reduced sample excluding special treatment firms (ST/*ST) firms that contained 11,700 firm-year observations. All empirical results were consistent with the sample containing ST/*ST companies. ST refers to listed companies with two consecutive years of net loss while *ST refers to listed companies with three consecutive years of net loss.

  4. http://download.2-topos.com/map/.

  5. We thank the anonymous reviewers for their suggestions.

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Correspondence to Xiaobo Li.

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Appendices

Appendix 1: Variable Definitions

Variables

Definition

Dependent variable

 LnPA

The natural logarithm of the total amount of poverty alleviation investment plus one

Variables of interest

 LnCONF_200

The natural logarithm of the number of Confucian temples within a 200-km radius around a firm’s registered address plus one

 LnCONF_300

The natural logarithm of the number of Confucian temples within a 300-km radius around a firm’s registered address plus one

 CEO_CONF

A dummy variable takes the value of 1 when a firm’s CEO was born in one of the seven Confucian centers in China, including Qufu of Shandong Province, Luoyang of Henan Province, Chengdu of Sichuan Province, Sanming and Longyan of Fujian Province, Dongtai of Jiangsu Province, Ningbo and Shaoxing of Zhejiang Province, and Linchuan of Jiangxi Province, and 0 otherwise

 LnNegMedia

The natural logarithm of the number of firm negative news articles plus one

Control variables

 LnFirm_Age

The natural logarithm of age of firm establishment

 LnFirm_Size

The natural logarithm of revenues

 ROA

The net income divided by total assets

 LEV

The ratio of the firm’s total debt to assets

 SOE

A dummy variable that equals 1 if the firm is a state-owned firm, otherwise it is 0

 LHR

The shareholding percentage of the largest shareholder

 Board_Size

The number of board members

 Board_Indep

The percentage of independent directors on the board

 CEO_Gender

A dummy variable, where it equals 1 if the firm has a male CEO, and 0 if the CEO is female

 CEO_Degree

A four-point scale to indicate the level of CEO education, of which secondary school degree and below = 1, junior college degree = 2, undergraduate degree = 3, postgraduate degree and above = 4

 Market

Fan gang marketization index

Others

 RDLS

The relief degree of land surface in the provinces of China

 LnCONF_100

The natural logarithm of the number of Confucian temples within a 100-km radius around a firm’s registered address plus one

 LnCEO_Temp

The natural logarithm of the number of Confucius temples in the CEO’s birthplace at province level plus one

 LnCEO_Acad

The natural logarithm of the number of Confucian academies in the CEO’s birthplace at province level plus one

 LnAcad_200

The natural logarithm of the number of Confucian academies within a radius of 200 km around a firm’s registered address plus one

 LnAcad_300

The natural logarithm of the number of Confucian academies within a radius of 300 km around a firm’s registered address plus one

 PA_Dum

A dummy variable that equals 1 if the firm participates in poverty alleviation campaign, and otherwise it is 0

 Openness to foreign culture

A dummy variable that equals 1 if the firm is registered in special economic zones or coastal open cities, such as Shenzhen, Zhuhai, Shantou, Xiamen, Hainan, Dalian, Qinhuangdao, Tianjin, Yantai, Qingdao, Lianyungang, Nantong, Shanghai, Ningbo, Wenzhou, Fuzhou, Guangzhou, Zhanjiang, Beihai and Yingkou, and otherwise it is 0

 Per_GDP

Per capita GDP, the province’s GDP at the end of each year divided by the population (in CNY 10,000 per capita)

 Population_density

Resident population divided by the size of the area at city level (in 10,000 people per square kilometer)

 LnTAO_200

The natural logarithm of the number of Taoist temples within a 200-km radius around a firm’s registered address plus one

 LnTAO_300

The natural logarithm of the number of Taoist temples within a 200-km radius around a firm’s registered address plus one

 LnBUD_200

The natural logarithm of the number of Buddhist monasteries within a radius of 200 km around a firm’s registered address plus one

 LnBUD_300

The natural logarithm of the number of Buddhist monasteries within a radius of 200 km around a firm’s registered address plus one

 CN_PA

A dummy variable that equals 1 if the firm has a follow-up poverty alleviation plan, and otherwise it is 0

 EFF_PA

The natural logarithm of the number of poor people that the firm helped out of poverty plus one

Year FE

Dummy variables for years

Industry FE

Dummy variables for industries

City FE

Dummy variables for cities

Appendix 2: Sample Firm Distribution by Cities with Stronger Foreign Cultural Influences

City

Number of firms

Percentage of all firms (%)

Shenzhen

259

8.00

Zhuhai

28

0.86

Shantou

32

0.99

Xiamen

44

1.36

Hainan

26

0.80

Dalian

25

0.77

Qinhuangdao

3

0.09

Tianjin

48

1.48

Yantai

27

0.83

Qingdao

21

0.65

Lianyungang

6

0.19

Nantong

28

0.86

Shanghai

253

7.82

Ningbo

63

1.95

Wenzhou

16

0.49

Fuzhou

38

1.17

Guangzhou

94

2.90

Zhanjiang

2

0.06

Beihai

5

0.15

Yingkou

2

0.06

Total

1020

31.48

  1. This table provides the breakdown of the firms and the corresponding percentages by cities with stronger foreign cultural shocks

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Huang, M., Li, X., Xia, J. et al. Does Confucianism Prompt Firms to Participate in Poverty Alleviation Campaigns?. J Bus Ethics 189, 743–762 (2024). https://doi.org/10.1007/s10551-023-05565-z

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