How and When Factors of Agricultural Contribution Influence Urbanization: A Historical Analysis of Tibet

Table 2

Results of the stationary process analysis for selected variables.

ADF test		Level			1^st difference			Results
		(C, T, K)	DW-stat	t-statistic	(C, T, K)	DW-stat	t-statistic
UR	LNy	(0, 0, 2)	1.961	2.409	(C, 0, 1)	1.948	−3.042^b	I (1)
FDC	LNx11	(C, 0, 2)	2.065	3.288	(0, 0, 1)	2.131	−2.016^b	I (1)
	LNx12	(0, 0, 1)	1.826	−0.876	(0, 0, 2)	1.851	−1.715	I (2)
	LNx13	(C, T, 1)	2.030	−2.261	(C, 0, 1)	1.935	−4.728^a	I (1)
	LNx14	(C, 0, 1)	1.902	−2.522	(C, T, 1)	1.927	−4.731^a	I (1)
MLC	LNx21	(0, 0, 1)	1.993	1.516	(0, 0, 1)	1.976	−1.643	I (2)
	LNx22	(C, 0, 2)	1.958	−2.351	(0, 0, 1)	1.952	−1.938	I (2)
	LNx23	(C, 0, 1)	2.039	−2.191	(0, 0, 1)	2.161	−2.136^b	I (1)
LRC	LNx31	(C, T, 1)	1.922	−2.679	(C, 0, 1)	1.950	−4.252^a	I (1)
	LNx32	(C, T, 1)	2.007	−2.596	(C, 0, 1)	1.945	22122.573	I (2)
	LNx33	(C, 0, 1)	2.050	−1.295	(0, 0, 2)	1.938	−1.068	I (2)
MTC	LNx41	(C, T, 3)	2.150	−3.099	(C, T, 1)	2.018	−4.784^a	I (1)
	LNx42	(C, T, 1)	1.947	−2.486	(C, 0, 1)	2.054	−3.940^a	I (1)
	LNx43	(0, 0, 3)	2.012	1.945	(0, 0, 1)	2.095	−1.398	I (2)

Notes: C, T, and K are respectively the intercept, trend, and lag in the ADF test; ^a Indicates significance at the 1% level; ^b Indicates significance at the 5% level.