Appendix 4.1: Factors Influencing Project Finance in Mature Markets

Table A4.1.1: Sources and Description of Variables

Variable

Description

Characteristic,

Units

Source

Gearing

Gearing ratio (debt over costs)

Project, %

Thomson One Banker

GDP

Real GDP per capita, YoY change

Country, quarter, %

Datastream

Inflation

CPI seasonally adjusted,

YoY change

Country, quarter, %

Datastream

Government debt

General government gross debt, % of GDP

Country, year, %

Datastream

Volatility (GDP)

Rolling standard deviation of GDP (5 previous years and current quarter)

Country, quarter, %

CEIC Data Company, Asian Development Bank (ADB) Asia Regional Integration (ARIC)

Volatility (inflation)

Rolling standard deviation of Inflation (5 previous years and current quarter)

Country, quarter, %

CEIC Data Company, ADB ARIC

Volatility (exchange rate)

Rolling standard deviation of log changes in local currency- dollar exchange rate (5 previous years and current quarter)

Country, quarter, %

CEIC Data Company, ADB ARIC

PPP investment

Investment in PPP, % of GDP

Country, year, %

World Bank Private Participation in Infrastructure Database

Political stability

Political stability and absence of violence (estimate), lagged year

Country-year, range (-2.5 to 2.5)

World Bank Worldwide Governance Indicators

Regulatory quality

Regulatory quality (estimate), lagged year

Country-year, range

(-2.5 to 2.5)

World Bank Worldwide Governance Indicators

Cost

Total cost

Project

($ million)

Thomson One Banker

Maturity

Average maturity across term loans (equal weighting)

Project, years

Thomson One Banker

Tranches

Number of term loans tranches

Project, range (1-6)

Thomson One Banker

Foreign currency

= 1 when at least one term loan is denominated in foreign currency

Project, dummy

Thomson One Banker

Syndicate size

Number of mandated arrangers

Syndicate, range (1-25)

Thomson One Banker

MDB

= 1 when at least one mandated arranger is a multilateral development bank

Syndicate, dummy

Thomson One

Banker

Local bank

Fraction of mandated arrangers (over syndicate size) headquartered in the same country of the project

Syndicate, range (0-1)

Thomson One

Banker, Orbis database

Tier 1

Tier 1 ratio

Syndicate

Orbis database

ROAA

Return on average assets

Syndicate

Orbis database

Loans

Net loans over total assets

Syndicate

Orbis database

NPL

Impaired over gross loans

Syndicate

Orbis database

Liquid assets

Liquid over total assets

Syndicate

Orbis database

Cost/Income

Cost-to-income ratio

Syndicate

Orbis database

CPI = consumer price index, GDP = gross domestic product, MDB = multilateral development bank, NPL = nonperforming loan, PPP = public-private partnership, ROAA = return on average assets, YoY = year-on-year.

Sources: See sources column.

Table A4.1.2: Project-Level Descriptive Statistics for Mature Markets

Variable

Mean

Median

5th percentile

95th percentile

Test of Differences

t-test

Wilcoxon

Gearing

90.01

100.00

60.00

100.00

2.158**

2.111**

Cost

481.90

184.10

34.00

2,135.60

1.914**

4.289***

Maturity (EW)

11.78

8.99

2.00

26.02

-1.796*

-3.083***

Tranches

1.65

1.00

1.00

3.00

1.828*

2.279**

Local currency

0.87

1.00

0

1.00

3.362***

3.180***

Foreign currency

0.13

0

0

1.00

-3.362***

-3.180***

Syndicate size

3.60

2.00

1.00

10.00

5.416***

6.682***

MDB

0.16

0

0

1.00

1.585

1.631

Local bank

0.22

0

0

1.00

-19.359***

-13.820***

Tier 1

13.30

12.90

10.60

18.00

5.258***

6.252***

ROAA

0.37

0.35

-0.18

1.05

-15.736***

-13.137***

Loans

48.27

50.44

24.34

70.61

-8.624***

8.696***

NPL

3.79

2.80

0.75

8.10

4.372***

2.806***

Liquid assets

22.49

21.75

11.07

45.11

14.470***

13.044***

Cost/Income

62.94

61.87

45.17

88.56

7.089***

8.182***

EW = equally weighted, MDB = multilateral development bank, NPL = nonperforming loan, ROAA = return on average assets.

*** p < 0.01 ** p < 0.05 * p < 0.10

Source: Author's estimates, based on Thomson One Banker database.

Table A4.1.2 shows that projects in mature markets are larger than in developing markets and are more leveraged. Projects in mature markets have shorter maturities, involve more debt tranches, and are financed more in local currencies. These projects are financed by larger syndicates, and with less participation by local banks. Banks funding projects in mature markets are more capitalized, have more nonperforming loans and liquid assets, are less profitable and efficient, and have fewer loans on their balance sheets.

The characteristics of bank balance sheets are, overall, not very important for the model estimation. Table A4.1.3 shows some weak evidence that more profitable banks (column 2) and troubled banks (the ratio of impaired to total loans [columns 3 and 5]) are more likely to lend. One explanation is that banks that fund projects in mature PPP markets are based in countries where the quicker implementation of Basel III capital standards made their capital bases stronger than is the case for banks in Asia's developing markets.

Further, the analysis indicates that, in mature markets, project characteristics are more important. Gearing in particular is negatively associated with project size and positively associated with project duration. The evidence accords with the view that the project finance modality is more entrenched in mature markets and that bank lending is transaction-based. For macroeconomic variables, the results show a negative dependence of gearing ratios on government indebtedness, which is consistent with the analysis of developing Asian markets. But unlike the findings in Table 4.5, inflation as well as inflation risk now negatively affect project finance investment. Sector fixed effects for columns (1) and (2) in Table A4.1.2 show gearing ratios at their lowest for other sectors and at their highest for either energy (column 1) or transport (column 2).

Table A4.1.3: Drivers of Project Finance Deals in Mature Markets

Variable

Characteristic

(1)

(2)

(3)

(4)

(5)

(6)

Tier 1

Syndicate

0.305

0.074

0.061

-0.315

-0.346

-0.661

 

 

(0.529)

(0.531)

(0.692)

(0.636)

(0.744)

(0.675)

ROAA

Syndicate

5.421

7.194*

5.893

7.721

6.297

5.576

 

 

(4.909)

(4.211)

(5.106)

(4.882)

(5.531)

(4.914)

Loans

Syndicate

0.069

0.072

-0.020

-0.015

0.036

-0.030

 

 

(0.152)

(0.144)

(0.169)

(0.144)

(0.178)

(0.155)

NPL

Syndicate

0.832

0.555

0.999*

0.796

1.288*

1.248

 

 

(0.561)

(0.571)

(0.573)

(0.562)

(0.776)

(0.764)

Liquid assets

Syndicate

0.024

-0.016

-0.122

-0.129

-0.175

-0.125

 

 

(0.177)

(0.145)

(0.183)

(0.154)

(0.201)

(0.188)

Cost-to-income

Syndicate

-0.052

0.136

0.013

0.216

0.008

0.158

ratio

 

(0.210)

(0.226)

(0.232)

(0.224)

(0.257)

(0.249)

Ln (syndicate

Syndicate

-2.071

5.076

-1.386

6.180**

-0.523

6.189**

size)

 

(1.795)

(3.227)

(1.868)

(2.946)

(1.927)

(2.882)

MDB

Syndicate

-2.155

-1.526

-1.362

-0.744

-2.542

-1.352

 

 

(3.704)

(3.142)

(4.084)

(3.433)

(4.017)

(3.044)

Local bank

Syndicate

-6.177

-4.921

0.009

2.347

-3.054

1.185

 

 

(4.123)

(4.146)

(5.144)

(4.845)

(4.977)

(4.771)

Ln (cost)

Project

 

-6.112***

 

-6.478***

 

-6.059***

 

 

 

(2.124)

 

(1.950)

 

(1.778)

Ln (maturity)

Project

 

3.888***

 

4.397***

 

5.299***

 

 

 

(1.466)

 

(1.553)

 

(1.610)

Ln (tranches)

Project

 

-1.030

 

-1.703

 

-1.470

 

 

 

(2.317)

 

(2.424)

 

(2.525)

Foreign

Project

 

3.581

 

2.667

 

4.172

currency

 

 

(2.861)

 

(3.068)

 

(3.607)

GDP

Country

 

 

 

 

-1.168

-1.781

 

 

 

 

 

 

(3.955)

(3.434)

Inflation

Country

 

 

 

 

-9.741**

-11.237**

 

 

 

 

 

 

(4.820)

(4.599)

Government debt

Country

 

 

 

 

-5.336**

-5.980***

 

 

 

 

 

 

(2.538)

(2.224)

Volatility (GDP)

Country

 

 

 

 

2.379

0.152

 

 

 

 

 

 

(8.471)

(7.378)

Volatility

Country

 

 

 

 

-57.267**

-62.933**

(inflation)

 

 

 

 

 

(27.934)

(24.170)

Volatility

Country

 

 

 

 

-88.768

-578.378

(exchange rate)

 

 

 

 

 

(583.126)

(510.647)

PPP investment

Country

 

 

 

 

7.920

5.856

 

 

 

 

 

 

(5.140)

(4.396)

Political stability

Country

 

 

 

 

61.947

56.247

 

 

 

 

 

 

(37.928)

(38.372)

Regulatory quality

Country

 

 

 

 

-17.738

-38.839

 

 

 

 

 

 

(53.789)

(48.840)

Sector FE

Country

Yes

Yes

Yes

Yes

Yes

Yes

Quarter FE

Country

No

No

Yes

Yes

Yes

Yes

Country FE

Country

No

No

No

No

Yes

Yes

Observations

Country

173

173

173

173

173

173

Adjusted R2

Country

0.004

0.163

(0.015)

0.174

0.107

0.266

Syndicate characteristics (%)

Country

60.10

16.95

18.93

10.45

13.76

8.79

Project characteristics (%)

Country

 

73.56

 

46.48

 

30.11

Country characteristics (%)

Country

 

 

 

 

33.07

22.47

Sector FE (%)

Country

39.90

9.49

13.80

5.37

6.63

3.98

Quarter FE (%)

Country

 

 

67.27

37.69

37.86

28.67

Country FE (%)

Country

 

 

 

 

8.68

5.89

FE = fixed effects, GDP = gross domestic product, LN = natural logarithm, MDB = multilateral development bank, NPL = nonperforming loan, PPP = public-private partnership, ROAA = return on average assets.

Notes:

1.  The table presents ordinary least squares regression results to examine the drivers of project-finance deals. The sample includes 173 projects financed from 2011 to 2016 in Australia, Canada, and the United Kingdom.

2.  The dependent variable is the gearing ratio.

3.  Standard errors (in parentheses) are clustered at the syndicate level to account for correlation among projects financed by the same syndicate of banks.

4.  The last six rows of the table report the R2 decomposition for groups of variables (Shapley values, %).

*** p < 0.01 ** p < 0.05 * p < 0.10

Source: Author's estimates.