Table 9

The relationship between test variables and the accessibility of ID-TPA project locations

(1) ROADACC(2) KMS(3) RAIL_KMS
SOE−0.1773**−0.0921*−0.0861*
(−2.42)(−1.82)(−1.71)
PC−0.09550.09390.1383**
(−0.99)(1.45)(2.15)
POVERTY0.07360.3992***0.3215***
(1.04)(8.94)(7.33)
DECENTRAL0.1119***0.1257***0.0899***
(3.27)(7.06)(5.04)
ADV0.2104−0.9744***−0.4253
(0.49)(−3.34)(−1.49)
COVER−0.02580.01420.0250
(−0.71)(0.58)(1.06)
MAND_CSR0.10970.06520.0300
(1.55)(1.38)(0.65)
ADJ_ROA1.17551.1627*−0.1783
(1.25)(1.94)(−0.30)
Constant100.0028***11.7189***7.9947***
(425.74)(90.25)(72.48)
ControlsYesYesYes
Industry dummiesYesYesYes
Year dummiesYesYesYes
Pseudo R20.07210.35190.2088
N303395395

Note(s): This table presents the association between measures of accessibility of ID-TPA project locations and test variables for hypotheses H1–H4. The dependent variables in columns (1)–(3) are 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
[ViewLarge]
This Feature Is Available To Subscribers Only

or Create an Account

Close subscription notice
Close access options