Table 6

Business types of ID-TPA projects

Panel A: Firms that only disclose one business type
Business typesNo. of firmsnumber of people out of poverty (mean)Expenditures (mean)SOE (mean)PC (mean)POVERTY (mean)DECENTRAL (mean)ADV (mean)COVER (mean)MAND_CSR (mean)ADJ_ROA (mean)
Agriculture and Forestry (AF)348557.0461910.4820.5030.1350.5370.3580.0771.5060.2960.003
Income from Assets (IA)513280.33313046.6900.4120.1570.3530.7680.0721.4700.3140.008
Science and Technology (ST)1633.813341.8560.4380.1880.2501.0550.0442.2470.1880.016
Tourism (Tour)14539.5715458.6950.4290.2140.500−0.4930.0822.1080.429−0.002
Others108603.8156730.3170.3520.1020.4540.4750.0571.3090.2130.004
Total537809.0433983.2300.4600.1340.4930.4190.0721.5000.2810.004
Panel B: ID-TPA efficiency after controlling for business types
Dependent variable: NPOP
(1)(2)
logTPA_EXP0.3244*1.0506***
(1.85)(4.20)
SOE*logTPA_EXP −0.9007***
 (−4.80)
PC*logTPA_EXP −0.6025**
 (−2.42)
POVERTY*logTPA_EXP −0.2785
 (−1.50)
DECENTRAL*logTPA_EXP 0.1622*
 (1.80)
ADV*logTPA_EXP −1.7288
 (−1.35)
COVER*logTPA_EXP −0.1189
 (−1.27)
MAND_CSR*logTPA_EXP 0.6393***
 (3.28)
ADJ_ROA*logTPA_EXP 9.6728***
 (4.53)
AF*logTPA_EXP0.25620.0930
(1.15)(0.46)
AF−1.0472−0.6126
(−0.88)(−0.57)
IA*logTPA_EXP1.1170***0.4461
(3.69)(1.59)
IA−4.4916**−2.1503
(−2.17)(−1.16)
ST*logTPA_EXP−0.8919−1.5337**
(−1.08)(−2.04)
ST3.33826.1212*
(0.84)(1.76)
Tour*logTPA_EXP0.54590.9769*
(0.90)(1.80)
Tour−4.3010−4.8115
(−1.06)(−1.34)
IMR−2.36250.3113
(−0.88)(0.21)
Constant3.7584−7.2807**
(0.65)(−2.11)
Control variablesYesYes
Industry dummiesYesYes
Year dummiesYesYes
Pseudo R20.05790.0890
N537537

Note(s): This table reports ID-TPA project efficiencies when we control for the business type of these projects. The sample includes companies that report only one type of ID-TPA projects. Panel A shows the mean values of variables across different business types. Panel B presents the second-stage estimation results of the two-stage Heckman selection model (Eq. (2)) after controlling for the business type of ID-TPA projects. The dependent variable is NPOP, the number of people lifted out of poverty by a company in the current year. Columns (1) and (2) report the results without and with the test variables for hypotheses H1–H4 interacted with logTPA_EXP (the natural log of current year expenditures on ID-TPA projects), respectively. Numbers reported in parentheses are t-statistics. ***/**/*: significant at the 1%/5%/10% level (two-tailed), respectively. Please refer to Appendix 2 and Table 6 Panel A for variable definitions

Source(s): Table by authors

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