中国农业化肥施用技术效率演变特征及影响因素

王萍萍, 韩一军, 张益

Characteristics of change and influencing factors of the technical efficiency of chemical fertilizer use for agricultural production in China

WANG Pingping, HAN Yijun, ZHANG Yi

表6 固定效应的空间杜宾模型回归结果

Table 6 Regression results of the spatial Dubin model

变量	总体	1991—1997	1998—2014	2015—2017	东部	中部	西部
ln(Income)	-0.262***	0.109	-0.053**	-0.084**	-0.288***	0.201***	-0.175***
	(0.030)	(0.098)	(0.024)	(0.038)	(0.047)	(0.077)	(0.026)
ln(Trlabor)	-0.374***	-0.659***	-0.301***	0.196	-0.318***	-0.902***	-0.429***
	(0.030)	(0.091)	(0.030)	(0.135)	(0.067)	(0.065)	(0.030)
ln(Pdisa)	0.002	-0.019	0.002	0.003	0.002	0.000	-0.028***
	(0.007)	(0.015)	(0.004)	(0.003)	(0.008)	(0.013)	(0.008)
ln(Irrig)	0.277***	0.568***	0.026	0.342***	0.041	0.654***	0.040
	(0.032)	(0.126)	(0.025)	(0.032)	(0.053)	(0.049)	(0.040)
ln(Citizen)	0.003	0.010	0.005	0.014**	0.030***	-0.007	0.022**
	(0.009)	(0.018)	(0.006)	(0.007)	(0.010)	(0.011)	(0.010)
ln(Struc)	0.088*	0.472	0.079*	0.241***	-0.524***	-0.005	-0.319***
	(0.053)	(0.372)	(0.042)	(0.057)	(0.076)	(0.128)	(0.065)
ln(Rain)	-0.015	-0.018	0.008	0.048***	-0.048***	-0.043*	0.002
	(0.015)	(0.021)	(0.010)	(0.012)	(0.018)	(0.026)	(0.012)
ln(Temp)	0.046	0.084	-0.052**	-0.001	0.078	0.061	-0.021
	(0.031)	(0.054)	(0.021)	(0.106)	(0.075)	(0.059)	(0.019)
w×ln(Income)	0.113**	-0.423**	0.041	-0.081	0.658***	0.348***	-0.367***
	(0.056)	(0.166)	(0.044)	(0.086)	(0.048)	(0.105)	(0.055)
w×ln(Trlabor)	-0.078	0.216	-0.283***	0.415	-0.550***	0.337**	-0.468***
	(0.061)	(0.176)	(0.065)	(0.397)	(0.099)	(0.131)	(0.074)
w×ln(Pdisa)	-0.002	0.020	0.002	-0.005	0.012	0.042**	0.028**
	(0.013)	(0.032)	(0.009)	(0.010)	(0.012)	(0.017)	(0.014)
w×ln(Irrig)	0.088	-0.337	-0.091	0.056	-0.154*	0.367***	-0.090
	(0.069)	(0.290)	(0.058)	(0.118)	(0.081)	(0.076)	(0.089)
w×ln(Citizen)	-0.078***	0.020	-0.031**	0.014	0.019	-0.027	-0.011
	(0.020)	(0.046)	(0.014)	(0.018)	(0.015)	(0.017)	(0.024)
w×ln(Struc)	0.133	-0.077	-0.083	0.292**	0.363***	1.223***	-1.081***
	(0.110)	(0.703)	(0.087)	(0.123)	(0.103)	(0.321)	(0.137)
w×ln(Rain)	-0.006	0.020	-0.027*	0.103***	0.016	-0.031	-0.024
	(0.023)	(0.033)	(0.016)	(0.028)	(0.022)	(0.035)	(0.025)
w×ln(Temp)	-0.013	-0.009	0.021	0.251	0.070	-0.051	0.008
	(0.057)	(0.111)	(0.038)	(0.169)	(0.102)	(0.088)	(0.037)
rho	-0.146**	-0.130	0.109*	-0.120	0.109*	-0.319***	-0.304***
	(0.057)	(0.116)	(0.064)	(0.191)	(0.065)	(0.055)	(0.089)
log likelihood	748.1265	242.5672	794.9568	748.1265	337.1547	276.917	464.4569
R²	0.186	0.0032	0.181	0.31	0.2396	0.6648	0.3269