Table 10 ID-TPA efficiency estimates...

Table 10

ID-TPA efficiency estimates after controlling for project difficulty

Dependent variable: NPOP
	TPA_Accessibility = ROADACC		TPA_Accessibility = KMS		TPA_Accessibility = RAIL_KMS
logTPA_EXP	0.1493***	0.2319***	0.1256***	0.2016***	0.1157***	0.1774***
logTPA_EXP	(6.95)	(5.36)	(7.54)	(5.98)	(7.13)	(5.39)
SOElogTPA_EXP*		−0.1291***		−0.1250***		−0.1142***
SOElogTPA_EXP*		(−3.04)		(−3.88)		(−3.59)
PClogTPA_EXP*		−0.0934*		−0.0784*		−0.1039**
PClogTPA_EXP*		(−1.89)		(−1.90)		(−2.45)
POVERTYlogTPA_EXP*		0.0265		0.0230		0.0398
POVERTYlogTPA_EXP*		(0.62)		(0.67)		(1.20)
DECENTRALlogTPA_EXP*		0.0040		0.0008		0.0070
DECENTRALlogTPA_EXP*		(0.19)		(0.06)		(0.45)
TPA_AccessibilitylogTPA_EXP*	0.0923**	0.0735*	0.0736**	0.0678**	0.0821***	0.0873***
TPA_AccessibilitylogTPA_EXP*	(2.44)	(1.85)	(2.27)	(2.11)	(2.74)	(2.81)
IMR	−0.5477	−0.3503	0.1844	0.1824	0.1754	0.1058
IMR	(−1.40)	(−1.13)	(1.25)	(0.91)	(0.87)	(0.51)
Constant	28.6052*	21.7370	2.0723	1.2453	1.0374	0.7843
Constant	(1.88)	(1.39)	(1.35)	(0.78)	(0.84)	(0.64)
Control variables	Y	Y	Y	Y	Y	Y
Industry dummies	Y	Y	Y	Y	Y	Y
Year dummies	Y	Y	Y	Y	Y	Y
Pseudo R²	0.1337	0.1636	0.1234	0.1586	0.1277	0.1653
N	303	303	395	395	395	395

Dependent variable: NPOP
	TPA_Accessibility = ROADACC		TPA_Accessibility = KMS		TPA_Accessibility = RAIL_KMS
logTPA_EXP	0.1493***	0.2319***	0.1256***	0.2016***	0.1157***	0.1774***
logTPA_EXP	(6.95)	(5.36)	(7.54)	(5.98)	(7.13)	(5.39)
SOE*logTPA_EXP		−0.1291***		−0.1250***		−0.1142***
SOE*logTPA_EXP		(−3.04)		(−3.88)		(−3.59)
PC*logTPA_EXP		−0.0934*		−0.0784*		−0.1039**
PC*logTPA_EXP		(−1.89)		(−1.90)		(−2.45)
POVERTY*logTPA_EXP		0.0265		0.0230		0.0398
POVERTY*logTPA_EXP		(0.62)		(0.67)		(1.20)
DECENTRAL*logTPA_EXP		0.0040		0.0008		0.0070
DECENTRAL*logTPA_EXP		(0.19)		(0.06)		(0.45)
TPA_Accessibility*logTPA_EXP	0.0923**	0.0735*	0.0736**	0.0678**	0.0821***	0.0873***
TPA_Accessibility*logTPA_EXP	(2.44)	(1.85)	(2.27)	(2.11)	(2.74)	(2.81)
IMR	−0.5477	−0.3503	0.1844	0.1824	0.1754	0.1058
IMR	(−1.40)	(−1.13)	(1.25)	(0.91)	(0.87)	(0.51)
Constant	28.6052*	21.7370	2.0723	1.2453	1.0374	0.7843
Constant	(1.88)	(1.39)	(1.35)	(0.78)	(0.84)	(0.64)
Control variables	Y	Y	Y	Y	Y	Y
Industry dummies	Y	Y	Y	Y	Y	Y
Year dummies	Y	Y	Y	Y	Y	Y
Pseudo R²	0.1337	0.1636	0.1234	0.1586	0.1277	0.1653
N	303	303	395	395	395	395

Note(s): This table presents the second-stage estimation results of the two-stage Heckman selection model (Eq. (2)) after controlling for the difficulty of ID-TPA projects, proxied by the accessibility of these projects’ location. The dependent variable is NPOP, the number of people lifted out of poverty by a company in the current year. The difficulty of ID-TPA projects is proxied by ROADACC (percentage of rural households with access to public roads in a province), KMS (natural log of the number of kilometers of roadways in a province) and RAIL_KMS (natural log of the number of kilometers of railways in a province), respectively. Numbers reported in parentheses are t-statistics. ***/**/*: significant at the 1%/5%/10% level (two-tailed), respectively. Please refer to Appendix 2 for variable definitions

Source(s): Table by authors

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