Low Carbon Urban Infrastructure Investment in Asian Cities

128 INDEX

green building , ix, xiii, 3, 5, 37–9,
41–60, 74, 124
green building labels , 42, 50–1, 57
green growth , v, viii, 4, 34–5, 124,
green investment , v, 1, 2, 8, 21, 126
green new deal , 16, 95

H
household , 15–25, 29, 30, 36, 63–4,
75, 81–2, 102, 104–13, 121, 124

I
impact assessment , vii, ix, xi, 10–11,
77, 86
incremental cost , 3, 47–51, 54–5, 57
India , v, 2, 4, 96–9, 105–7, 109–14,
116, 119–22
Indonesia , v, vii, xi–xiii, 1–2, 61–2,
66–7, 76, 123, 125–6
input output analysis , v, ix, 2, 77, 83,
92, 123
internal rate of return , 2, 17
investment risks , 5, 8–10, 30

J
Jakarta , v, vii, ix, 2, 4–5, 61–3, 65–7,
69–76, 125,
Japan , vii, ix–xi, xiii, 1–3, 5–6, 8–9,
12–16, 18–21, 27–35, 38, 76–88,
90–101, 118–26

K
kerosene , 72, 106–7, 110–11

L
leapfrogging , 4, 6, 96–7, 118–19,
low-carbon city , vii, ix, 3, 5, 7, 61,
63–5, 74–5, 124

low carbon development , xi, 2, 62, 76,

81, 123,

low-carbon investment , vii, ix, 3, 34,

77, 79, 82–3, 86–8,

LPG , 69, 71–2, 106–7, 110–11, 117,

M

modelling , v, xi–xiii, 2, 5, 31, 61, 63,

66, 67, 75, 93, 98, 123,

Monte Carlo , 18, 22, 24–7, 36

N

net present value , 2, 17

nonlinear programming , 63

R

renewable energy , v, ix, xii–xiv, 2–5,

7–10, 12–18, 20–1, 27–35,

77–83, 86–8, 91–3, 96, 100,

107, 119, 125

renewable energy investment , ix, 5,

7–10, 12, 15, 17, 30–3, 79–83,

87–8, 125

risk analysis , v, ix, 2, 7, 123

S

scenario , ix, xiv, 3, 5, 18, 22–5, 30,

61, 63–5, 67–9, 72, 74–7, 79–80,

87, 92–3

Shanghai , v, xiv, 2, 4, 37, 44, 46–7,

49–51, 54, 56, 57, 124–5

simulation analysis , xiv, 23, 83

slum , v, 2, 4, 96–7, 105–8,

109–117, 121

smart city , v, vii, 4, 95, 97, 100–1, 121–2

smart grid , 96–8, 100–1, 104,

113–14, 117–20

solar PV , 4, 5, 9–11, 13–23, 25, 27–8,

30, 77, 80–2, 84–6