不同类型流动人口的环境友好行为差异——论生活方式的中介作用

doi:10.18402/resci.2021.11.13

Abstract

Abstract:

This study explored the differences of environmental-friendly behaviors of the floating population and examined how the change of lifestyle can promote environmental-friendly behaviors. Based on the data of CGSS 2013, this study used the multiple linear regression model to examine the impact of three types of mobility on private environmental-friendly behavior and public environmental-friendly behavior, analyzed the mediation effect of lifestyles, and conducted a robustness test by using the propensity score matching method. The research findings indicate that: (1) the two types of environmental-friendly behaviors (private and public) of rural-urban floating population are significantly superior to those of rural local population. There are no significant differences in the two types of environmental-friendly behaviors between urban floating population and urban local residents. (2) the impacts of migrants on private environmental-friendly behavior are partly mediated by the two lifestyles (consumption and leisure activities), while the influence of the floating population on public environmental-friendly behavior is entirely produced by the mediation of lifestyles. (3) after considering the sample selection bias, the migration decision of the rural population will still increase the private environmental-friendly behavior. In short, mobility makes people break away from the original environmental value system and improve environmental-friendly behavior through lifestyle changes, which are of positive significance to the optimization of China’s ecological environment.

Key words: environmental-friendly behavior, lifestyle, migration, propensity score matching method, mediation effect

FANG Xiang, ZHOU Yujiao. Environmental-friendly behaviors of different floating population groups: The mediation effect of lifestyle[J].Resources Science, 2021, 43(11): 2303-2315.

Figures/Tables 6

Figure 1

Table 1

Table 2

Table 3

Table 4

Mediation effect and channel decomposition

	私人环境友好行为	相对贡献/%	公共环境友好行为	相对贡献/%
直接影响 $γ 1$
流动类型	0.205***（11.55）	68.07	-0.010（-0.79）	0
间接影响 $γ 2 α 1$
消费方式	0.008***（3.39）	2.62	0.018***（7.86）	23.07
社会交往	0.002（1.57）	0.80	0.002**（2.22）	2.27
休闲活动	0.086***（14.39）	28.51	0.058***（13.64）	74.36
样本量	9062		9077

Table 4

Table 5

References 25

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	农村本地居民	乡城流动人口	乡城流动人口	城城流动人口	城市本地居民
	农村本地居民	（农业户籍）	（非农户籍）	城城流动人口	城市本地居民
私人环境友好行为	3.27(2.09)	4.02(2.19)	5.01(2.27)	5.55(2.16)	5.36(2.26)
公共环境友好行为	0.59(1.25)	0.83(1.59)	1.1(1.7)	1.48(1.8)	1.33(1.81)
消费方式	2.57(2.5)	4.18(3.27)	4.72(3.22)	6.1(3.31)	5.31(3.21)
社会交往	4.33(1.35)	4.65(1.41)	4.75(1.38)	5.18(1.32)	5(1.37)
休闲活动	18.13(4.72)	21.77(5.86)	23.49(5.77)	25.75(5.3)	25.04(5.42)
年龄/岁	50.57(15.27)	43.7(15.3)	50.86(16.36)	46.23(16.76)	48.96(16.09)
男性	50.77	50	48.79	51.94	53.7
受教育年限/年	3.28(1.73)	4.38(2.41)	5.97(3.36)	7.25(3.3)	6.74(3.15)
已婚	83.32	81.15	81.42	72.02	75.11
党员	4.62	5.41	21.14	14.92	16.42
家庭年收入/元	32406.75 (35069.31)	58037.36 (66933.48)	70802.62 (91976.88)	95320.76 (97121.74)	77159.2 (90187.81)
社会地位自评	4.06(1.66)	4.23(1.65)	4.53(1.65)	4.8(1.69)	4.61(1.6)
中部地区	46.68	33.59	35.92	14.35	23.81
东部地区	27.39	48.75	49.96	66.86	69.86
样本量	3333	1682	1367	697	1961

	模型1	模型2	模型3	模型4
	私人环境友好行为	公共环境友好行为	私人环境友好行为	公共环境友好行为
农村本地居民	参照项	参照项	-1.126***	-0.238***
	参照项	参照项	(0.072)	(0.052)
乡城流动人口（农村户籍）	0.351***	0.045	-0.776***	-0.193***
	(0.065)	(0.047)	(0.0755)	(0.055)
乡城流动人口（非农户籍）	0.991***	0.112**	-0.136*	-0.126**
	(0.074)	(0.0540)	(0.075)	(0.054)
城城流动人口	1.195***	0.288***	0.0683	0.050
	(0.097)	(0.070)	(0.093)	(0.067)
城市本地居民	1.126***	0.238***	参照项	参照项
	(0.072)	(0.052)	参照项	参照项
年龄	-0.001	-0.004***	-0.001	-0.004***
	(0.001)	(0.001)	(0.002)	(0.001)
性别（男性）	0.326***	-0.089***	0.326***	-0.089***
	(0.045)	(0.033)	(0.045)	(0.033)
受教育年限	0.155***	0.0958***	0.155***	0.096***
	(0.011)	(0.00760)	(0.011)	(0.008)
婚姻状况（未婚）	0.169***	-0.0579	0.169***	-0.058
	(0.056)	(0.0407)	(0.056)	(0.041)
政治面貌（非党员）	0.342***	0.330***	0.342***	0.330***
	(0.078)	(0.056)	(0.076)	(0.056)
家庭收入对数	0.164***	0.052***	0.164***	0.0523***
	(0.027)	(0.019)	(0.027)	(0.019)
社会等级自评	0.034**	0.056***	0.034**	0.056***
	(0.014)	(0.010)	(0.0141)	(0.010)
区域（西部）
中部	-0.342***	-0.310***	-0.342***	-0.310***
	(0.064)	(0.047)	(0.064)	(0.047)
东部	0.323***	-0.093**	0.323***	-0.093**
	(0.067)	(0.047)	(0.065)	(0.047)
常数项	0.789***	-0.025	1.915***	0.213
	(0.286)	(0.207)	(0.313)	(0.227)
样本量	9040	9040	9040	9040
R²	0.224	0.106	0.224	0.106

	模型5	模型6	模型7	模型8	模型9
	消费方式	社会交往	休闲活动	私人环境友好行为	公共环境友好行为
流动类型（农村本地居民）
城乡流动（农村户籍）	0.661***	0.068*	1.759***	0.170***	-0.119***
	-0.080	-0.041	-0.136	-0.064	-0.046
城乡流动（非农户籍）	0.743***	0.150***	2.753***	0.714***	-0.126**
	-0.092	-0.047	-0.155	-0.074	-0.053
城城流动	1.313***	0.398***	3.341***	0.842***	-0.036
	-0.120	-0.061	-0.203	-0.097	-0.069
城市本地居民	0.940***	0.305***	3.423***	0.779***	-0.062
	-0.089	-0.045	-0.150	-0.072	-0.052
生活方式
消费方式				0.025***	0.072***
				-0.009	-0.006
社会交往				0.030*	0.024*
				-0.017	-0.012
休闲活动				0.092***	0.066***
				-0.005	-0.004
控制变量	已控制	已控制	已控制	已控制	已控制
常数项	-5.056***	3.426***	13.340***	-0.414	-0.619***
	-0.354	-0.181	-0.597	-0.296	-0.212
样本量	9040	9040	9040	9040	9040
R²	0.365	0.115	0.489	0.258	0.164

方法	干预组（n）	控制组（n）	协变量平衡性检验		ATT
方法	干预组（n）	控制组（n）	LR chi²（P值）	Mean bias	系数（标准误）
最近邻匹配	3115	3398	16.59（0.04）	2.7	0.861***（-0.096）
半径匹配	3127	3382	7.62（0.47）	1.8	0.895***（-0.081）
核匹配	3127	3382	8.16（0.42）	1.9	0.897***（-0.082）

Environmental-friendly behaviors of different floating population groups: The mediation effect of lifestyle

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