家族管理如何影响企业技术创新——来自珠三角的证据

谢昕琰

家族管理如何影响企业技术创新——来自珠三角的证据

谢昕琰

广东财经大学人文与传播学院，广东广州 510320

基金项目: 广东省教育厅青年创新人才类项目(2017WQNCX051)

详细信息

作者简介:
谢昕琰(1989-), 男, 广东梅州人, 广东财经大学人文与传播学院讲师, 博士, 广东财经大学粤港澳大湾区创新竞争力研究院研究员

(本文获评2019年“一带一路”倡仪及湾区经济发展国际学术研讨会优秀论文)
中图分类号: F273.1
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- 被引次数: 0
出版历程
- 收稿日期: 2019-08-31
- 网络出版日期: 2021-05-27
- 刊出日期: 2021-05-27

The Ways of Family Involvement in Management Affecting Corporate Technological Innovation: Evidences from the Pearl River Delta

XIE Xin-yan

School of Humanities and Communication, Guangdong University of Finance & Economics, Guangzhou 510320, China

摘要

摘要: 已有研究证实家族管理正向影响了企业技术创新, 但对具体的影响机制却众说纷纭: 代理理论认为是家族降低了代理成本; 管家理论认为是家族管理者更有冒险精神; 社会情感财富理论则认为是来自家族对企业延续的情感对企业创新产生了正向影响。基于资源基础观视角, 以设立研发部门、引进外部技术和建立独立品牌为中介变量, 对珠三角四地企业的家族管理与企业技术创新关系进行实证研究。结果表明: 家族企业确实更愿意承担成立研发部门带来的风险, 更倾向于从外部引进技术, 也更愿意为了满足对永续发展的追求打造属于自己的品牌, 三者均提升了企业的技术创新水平, 但品牌因素的作用更大。
- 家族管理 /
- 家族企业 /
- 企业技术创新 /
- 企业资源 /
- 企业研发 /
- 外部技术 /
- 自主品牌
Abstract: The present literatures regard family involvement in management as a motive force of enterprise technological innovation, but there are many divergences in influence mechanism. The explanations from Agency Theory and Stewardship Theory are the reduction of agency cost and the promotion of adventure respectively, while the expectation to continue the enterprise life as a positive impact on enterprise innovation is the explanation from Socio-emotional Wealth Theory. From the perspective of Resource-based View(RBV), taking R & D department, technology import, and brand as intervening variables, this paper makes an empirical study on the relationship between family management and enterprise technological innovation through analyzing the data of private enterprises from 4 mainland cities in Guangdong-Hong Kong-Macao Greater Bay Area. The results indicate that family enterprises have a higher motivation toward bearing the risks brought by the establishment of R & D department, toward the introduction of external technology and brand establishment to meet the pursuit of sustainable development, all of which have improved the level of technological innovation, while brand factors play a more important role.
- family involvement in management /
- family enterprise /
- enterprise technological innovation /
- enterprise resources /
- enterprise R & D /
- external technology /
- independent brand
注释:

1) (本文获评2019年“一带一路”倡仪及湾区经济发展国际学术研讨会优秀论文)

HTML全文

表 1 建构变量的测量和信度效度检验

变量	观测变量	因子负荷	Cronbach’s Alpha	KMO
创新投入	新机器、设备、技术投资	0.46	0.83	0.75
	合作研发措施力度	0.46
	新产品研发措施力度	0.54
	提升自主研发能力措施力度	0.54
经营绩效	总产值	0.51	0.93	0.73
	营业收入	0.51
	利润总额	0.50
	留存收益	0.48

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表 2 主要变量描述性统计(N=1431)

变量	均值	标准差	最小值	最大值
企业技术创新	0.043	1.625	-3.001	2.800
管理者年龄(岁)	45.704	8.319	23	80
管理者学历(1=本科及以上)	0.421	0.494	0	1
企业规模(1=规模以上)	0.727	0.446	0	1
企业经营历史(年)	10.514	6.590	0	77
经营绩效	0.013	1.796	-4.064	2.736
家族管理(1=是)	0.764	0.425	0	1
设立研发部门(1=是)	0.393	0.489	0	1
引进外部技术(1=是)	0.108	0.311	0	1
建立独立品牌(1=是)	0.548	0.498	0	1

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表 3 企业技术创新的影响因素及中介效应的回归模型(N=1431)

变量	模型1 OLS	模型2 OLS	模型3 logit	模型4 OLS	模型5 logit	模型6 OLS	模型7 logit	模型8 OLS
管理者年龄	-0.018^***	-0.018^***	-0.001	-0.018^***	0.002	-0.018^***	-0.017^*	-0.013^**
	(-3.542)	(-3.572)	(-0.098)	(-3.815)	(0.191)	(-3.740)	(-2.410)	(-2.875)
管理者教育程度	0.435^***	0.475^***	0.285^*	0.395^***	0.432^*	0.413^***	0.120	0.432^***
(1=本科及以上)	(5.193)	(5.577)	(2.473)	(4.998)	(2.400)	(5.063)	(1.027)	(5.780)
企业规模	0.089	0.115	0.175	0.067	0.545^*	0.054	0.135	0.062
(1=规模以上)	(0.911)	(1.177)	(1.306)	(0.737)	(2.223)	(0.580)	(1.019)	(0.719)
企业历史	0.034^***	0.034^***	0.013	0.030^***	0.031^*	0.029^***	0.072^***	0.011⁺
	(5.180)	(5.210)	(1.471)	(5.012)	(2.409)	(4.644)	(7.044)	(1.950)
经营绩效	0.232^***	0.234^***	0.156^***	0.190^***	0.289^***	0.196^***	0.217^***	0.158^***
	(10.201)	(10.264)	(4.955)	(8.950)	(5.375)	(8.894)	(6.834)	(7.771)
家族涉入		0.240^*	0.393^**	0.132	0.458^*	0.178⁺	0.533^***	0.054
(1=家族管理)		(2.441)	(2.885)	(1.449)	(2.092)	(1.890)	(3.944)	(0.621)
设立研发部门				1.197^***
(1=是)				(15.364)
引进外部技术						1.467^***
(1=是)						(11.543)
建立独立品牌								1.537^***
(1=是)								(20.719)
常数项	0.261	0.046	-1.103^**	-0.244	-3.634^***	0.058	-0.316	-0.601^**
	(1.143)	(0.187)	(-3.290)	(-1.072)	(-6.550)	(0.248)	(-0.943)	(-2.774)
R²	0.113	0.117		0.243		0.193		0.322
对数似然值			-937.131		-460.906		-926.288
注：^{* * }、^{ }、^、⁺分别表示p < 0.001、p < 0.01、p < 0.05、p < 0.1；括号内为t检验值；表 5、表6同。

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表 4 基于KHB方法的中介机制检验(N=1431)

指标	总效应	直接效应	中介效应	研发部门	引进技术	品牌
系数	0.240^***	-0.014	0.254^***	0.068	0.039	0.147
贡献率(%)			17.31	26.86	15.41	57.73
注：中介效应贡献率为中介效应在总效应中的占比，变量贡献率为具体中介变量在总中介效应中的占比；KHB方法只对效应系数进行显著性检验。

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表 5 家族管理对三类资源变量影响的PSM模型(N=1431)

变量	ATT	ATU	ATE
设立研发部门	0.070^*	0.077^*	0.071^*
引进外部技术	0.041^*	0.040^*	0.041^*
建立独立品牌	0.130^***	0.071^*	0.116^***
注：ATT为处理组处理效应；ATU为对照组处理效应；ATE为平均处理效应。

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