AIM modeling activity
FY2011-FY2012
The 17th AIM International Workshop
February 17, 2012
NIES,Tsukuba, Japan

Yuzuru Matsuoka

Table of Contents
1. Models in AIM family
2. Multi-scale and interactive analysis for Asian LCS scenarios
3. Target regions of AIM study
4. Three stage’s approach for Pan-Asian and national LCS studies
 Quantification methodology of national baseline GDP Quantification of necessary GHG emission reductions

5. Improvements of models and tools(1) CGE and Enduse models, (2) Extended Snapshot Tool, (3) Element models

6. Studies now going on

 Pan-Asian LCS study National LCS studies
 Local regional LCS studies
 Brochures introducing our country and regional LCS studies
 An example of Local regional LCS study: Project for Development of Low Carbon Society Scenarios
for Asian Regions (SATREPS-LCS)

2

Models in AIM family• AIM/CGE(Global/National): One/multi-regional CGE model. Integration

platform of element models. They are soft-linked according to analytical objects.
Global and National scales.

• AIM/Enduse(Global/National): One or multi-regional, multi-sectoralbottom-up type energy end-use model. Integration platform of energy service’s
generation processes, energy technology development, and LCS policies. Global,
national, and local scales.

• Extended snapshot tool (ExSS): One or multi-regional model, based on

input and output analysis. It integrats future economic, industrial, social andenergy policies, using social accounting matrices, trade matrices, energy balancetables, energy technologies, regional energy resources information.

• Back-casting model/Tool (BCM/BCT): A model for designing

roadmaps towards low carbon societies. Dynamic optimization type model.

• Element models: Models of specific mechanisms of social-economic

processes and energy service demands, such as macro-economy (MEM),
dynamic demography (PHM), building dynamics (BDM), traffic demand (TDM),
material stocks and flow (MSFM), agriculture forestry and land-use activity(AFOLU).

3

Aggregated and longer-term analysis

Global and Pan-Asian scale
analysis- Year 2050/2100

National scale analysis- Year 2050

Local regional scale analysis- Year 2025/2030

4

Detailed and short-term analysis

Using these models, we are conducting multi-scale andinteractive analysis for developing Asian LCS scenarios

Target regions of AIM study
Country/Region
Japan
China
TaiwanIndia
Indonesia
Malaysia
Philippines
Korea, Republic ofSingapore
Thailand
Viet Nam
Korea, DPR
Mongolia
Lao PDR
MyanmarBrunei
Cambodia
Timor-Leste
Bangladesh
BhutanNepal
Pakistan
Maldives
Sri Lanka
Afghanistan
Fiji
Papua New Guinea
Marshall Islands
Micronesia
Palau
Kiribati
Nauru
Samoa
Solomon Islands
Tonga
TuvaluVanuatu

5

Level 2.5
(28 regions）

Level2(15 regions)Level 1(4 regions)

JPN
CHN
TWN
IND
IDN
MYS
PHL
KOR
SGP
THA
VNM
PRK
MNG
LAO
MMR
BRN
KHM
TLS
BGD
BTN
NPL
PAK
MDV
LKA
AFG
FJI
PNG

JPN
CHN
TWN
IND
IDN
MYS
PHL
KOR
SGP
THA
VNM

JPN

IND

Disaggregated region

Level 1

Level 2
Level 2.5

XEA

XSE

ASIA

XSA

MCR
XOC
XOC

CHN

• Covered East, South,
Southeast Asia, Melanesia,
Micronesia, and Polynesia• Level 1: Four regions, i.e.
China, India, Japan and Restof Asia• Level 2 : Fifteen regions,aggregation of small countries
less than one million
population.
• Level 2.5 :28 regions,aggregation of small islandstates in Oceania region

Ce n tral Asia
Middle East
Oth e r Latin Ame ric a
Can adaUSA
EU- 1 5EU- 1 0EU- 2
Tu rke yOth e r Eu rope
Oth e r We ste rn Eu rope in An n e x I
Oth e r Easte rn Eu rope in An n e x I
Sou th Afric a
Oth e r Afric a
Ru ssia
Me xic oArge n tin e
B razilAu stralia
Ne w Ze alan d

XCS
XME
XLM
CAN
USA
XE1 5
XE1 0
XE2
TUR
XENI
XEWI
XEEI
ZAF
XAF
RUS
MEX
ARG
B RA
AUS
NZL

• Rest of the world : 20
regional disaggregation,corresponding to Level 2. So
the world total is 35
regionalization.

Three stage’s approach for Pan-Asian andnational LCS studies• SLCS: LCS Scenario for active and rapid changing world, with higheconomic growth, and preference to hard paths• SSTAG: LCS Scenario for rather stagnant and timid world, with mild
economic growth, and preference to soft paths

Stage 2

Quantification of necessary GHG emission
reductions for stabilization of global climate

Stage 3

Designing, evaluation and proposal of feasible
LCS actions to comply with the reduction targets• Burden Sharing of national GHG emission reduction efforts• Assessment of necessary economic instruments and international
institutional frames• In national scale• In local regional scale
6

If necessary

Stage 1

If necessary

Design of two baseline socio-economic
scenarios of World, Asia-Pacific regions andnations

Quantification methodology of national
baseline GDP in Stage 1
Long-term
GDP
Projections

Projectionsof Capital
Feldstein-Horiokatype relations
between saving
and investment
rate

Projectionsof saving rate

Scenarios ofdemographic
structure changes

7

Baseline GDP
projection in Asian
countries

Short-term GDP
Projections, reported(IMF, EIU)

Scenarios oftechnology
frontier

Two factors’ CD
type production
function
Projectionsof Labor

TFP growth(Nelson-Phelps
type catch-up
model)

Scenarios ofgovernment
efficiency

Scenarios of
education

Database of Demography, Economy, Governance, Education, Technology andProjections in previous studies(229 regions, from year1980 to latest)

Examples of national baseline GDP in SLCS and
SSTAG scenarios
12000

Japan

1400

6000

4000

2000

0
1980

1400

2000

1000

800
2010

2020

2030

2040

2050

600

1000

800

400

200

600

400

0

200

1980

1990

0
1980

8

1990

2000

2010

SC_APAD_EO2009
SC_CEP_BMK
SC_CEP_TFPimp
SC_CEPb_Baseline
SC_CIESIN_A1
SC_CIESIN_A2b
SC_CIESIN_B1
SC_CIESIN_B2
SC_EIAb_IEO2010ref
SC_GS_N11
SC_IEEJa_AWEO2007
SC_IEEJb2_AWEO2009tech
SC_IEEJb_AWEO2009ref
SC_IEEJc2_AWEO2010tech
SC_IEEJc_AWEO2010ref
SC_IIASA_A2R
SC_IIASA_B1
SC_IIASA_B2
SC_IMAGE_A1
SC_IMAGE_A2
SC_IMAGE_B1
SC_IMAGE_B2
SC_METIa_LESr2009
SC_Nikkeic_pop
SC_PWC_SCE
SSTAG
SLCS

60000

GDP (billion USD 2000U price)

Malaysia

1200

GDP (billion USD 2000U price)

1990

30000

GDP (billion USD 2000U price)

1200

8000

GDP (billion USD 2000U price)

GDP (billion USD 2000U price)

10000

SC_APAD_EO2009
SC_CEP_BMK
SC_CEP_TFPimp
SC_CEPb_Baseline
SC_CIESIN_A1
SC_CIESIN_A2b
SC_CIESIN_B1
SC_CIESIN_B2
SC_EIAb_IEO2010ref
SC_GS_N11
SC_IEEJa_AWEO2007
SC_IEEJb2_AWEO2009tech
SC_IEEJb_AWEO2009ref
SC_IEEJc2_AWEO2010tech
SC_IEEJc_AWEO2010ref
SC_IIASA_A2R
SC_IIASA_B1
SC_IIASA_B2
SC_IMAGE_A1
SC_IMAGE_A2
SC_IMAGE_B1
SC_IMAGE_B2
SC_METIa_LESr2009
SC_Nikkeic_pop
SC_PWC_SCE
SSTAG
SLCS

2020

2030

2040

2050

2000

India

25000

20000

15000

10000

5000

0
1980

1990

2000

2010

2020

2030

2040

China

50000

40000

30000

20000

10000

2010

2020

2030

2040

SC_APAD_EO2009
SC_CEP_BMK
SC_CEP_TFPimp
SC_CEPb_Baseline
SC_CIESIN_A1
SC_CIESIN_A2b
SC_CIESIN_B1
SC_CIESIN_B2
SC_EIAb_IEO2010ref
SC_GS_N11
SC_IEEJa_AWEO2007
SC_IEEJb2_AWEO2009tech
SC_IEEJb_AWEO2009ref
SC_IEEJc2_AWEO2010tech
SC_IEEJc_AWEO2010ref
SC_IIASA_A2R
SC_IIASA_B1
SC_IIASA_B2
SC_IMAGE_A1
SC_IMAGE_A2
SC_IMAGE_B1
SC_IMAGE_B2
SC_METIa_LESr2009
SC_Nikkeic_pop
SC_PWC_SCE
SSTAG
SLCS

SLCS
SSTAG
SC_APAD_EO2009
SC_CEP_BMK
SC_CEP_TFPimp
SC_CEPb_Baseline
SC_CIESIN_A1
SC_CIESIN_A2b
SC_CIESIN_B1
SC_CIESIN_B2
SC_EIAb_IEO2010ref
SC_GS_N11
SC_IEEJa_AWEO2007
2050
SC_IEEJb2_AWEO2009tech
SC_IEEJb_AWEO2009ref
SC_APAD_EO2009
SC_CEP_BMK
SC_IEEJc2_AWEO2010tech
SC_CEP_TFPimp
SC_CEPb_Baseline
SC_IEEJc_AWEO2010ref
SC_CIESIN_A1
SC_CIESIN_A2b
SC_IIASA_A2R
SC_CIESIN_B1
SC_CIESIN_B2
SC_IIASA_B1
SC_EIAb_IEO2010ref
SC_GS_N11
SC_IIASA_B2
SC_IEEJa_AWEO2007
SC_IEEJb2_AWEO2009tech
SC_IMAGE_A1
SC_IEEJb_AWEO2009ref
SC_IEEJc2_AWEO2010tech
SC_IMAGE_A2
SC_IEEJc_AWEO2010ref
SC_IIASA_A2R
SC_IMAGE_B1
SC_IIASA_B1
SC_IIASA_B2SC_IMAGE_B2
SC_IMAGE_A1
SC_IMAGE_A2
SC_METIa_LESr2009
SC_IMAGE_B1
SC_IMAGE_B2
SC_Nikkeic_pop
SC_METIa_LESr2009
2050 SC_Nikkeic_pop
SC_PWC_SCE

0
1980

1990

2000

2010

2020

2030

2040

2050

SC_PWC_SCE
SSTAG
SLCS

Stage 2: Quantification of necessary GHG emission
reductions for stabilization of global climate under alternative
burden schemes
Scheme 1: Equal per capita
emission in year 2050 or 2075
Scheme 2: Equal per GDP emission
in year 2050 or 2075
Scheme 3: Equal marginal reduction
cost in year 2050 or 2075
Scheme 4: Equal cumulative GHG
emission from year 1990 to year
2050 or 2075
Under constraints of
1.In year 2050 or 2075, world total
emission reduces to half of year
1990
2.In year 2020, each region follows
the Copenhagen accord
9

Japan’s reduction pathway
under alternative reduction
burden schemes

Quantification of necessary GHG emission reductions•
50% reduction of global GHG emission in 2050/2075 compared with 1990
Targetyear

Reduction rate in year 2050 compare with 2005
World

Asia

China

India

Indonesia Japan

Korea

Malaysia Thailand Vietnam

Equal percapitaemission

2050

58

43

66

-60

60

84

82

70

64

4

2075

19

-11

7 -163

32

71

61

46

13

-55

Equal perGDPemission

2050

58

56

60

84

35

43

65

62

56

56

2075

15

-7

-11

55

-89

52

55

37

-8

-27

2050

58

35

28

6

51

75

78

47

38

-12

2075

23

-14

-34

-42

8

54

60

-3

-44

-101

2050

58

48

53

56

7

70

68

64

56

37

2075

19

-1

10

15

-86

43

39

30

15

-27

Equal MAC
reduction
Equal percapitacumulativeemission10Influence of GHG emission trades under 50% world
emission reduction in year 2050
Comparison of with/without free trading of emission allowance
Scenario: SLCS,
year 2050
TaiwanThailandChina
Malaysia
SingaporeJapan
Indonesia
Korea
Viet Nam
Other Southeast Asia
India
Other East Asia
Philippines
Other South Asia
Other oceania
Asia
World

11

Per capita
emission without
reduction effort(tCO2/capita)
21.27
19.52
17.43
17.19
16.90
12.67
12.50
11.57
9.04
7.46
5.64
4.86
3.82
2.97
2.94
12.88
9.53

with national target and free GHG
emission trade
per capita% of imported
emissionallowance to actual(tCO2/capita)
emission
2.61
21.11
3.48
40.85
4.26
51.72
3.60
42.95
5.70
63.95
3.15
34.71
2.50
17.63
2.49
17.53
2.36
12.79
2.08
1.12
1.18
-73.781.40-46.63
1.20-71.781.01-103.23
0.96-113.88
3.03
32.20
2.06
0.00

Importerof carbon
creditExporterof carbon
creditAsia is a net importer

Improvements of models and tools (1)CGE and Enduse models

AIM/CGE(Hybrid)
Multi-regional bottom-up＋
topdown hybrid model
GAMS code
Global and
Pan-Asian LCS
study
35 multiregional analysis

Hard type
coupling

AIM/CGEMulti-regional energyeconomy CGE model
GAMS/MCP code

AIM/Enduse

Multi-regionalbottom-up
technology model
GAMS code

Reconciliation tools
World priceand resource
supplyinformation

Database of
Statistical
Information•MacroMacro economy•Input-output•InputInput-output
output matrix•TradeTrade matrix•Energy
Energy balance table•Land
Land use matrix•Energy resource table

Country
specific LCS
study coupledwith simplified
international
scenarios
Collaborative
studywith domestic
institutions

Database of Futurescenarios and policies• National plans, policies
and pledges• National andInternational Scenarios

Reinforcement of
Asian countries’
specific
information

Point 1:Still
constructing online coupling of
the both modules
Point 2:
Conducting
discussions withdomestic experts
with intensive
meetings andworkshops
Point 3:
Improvement of
reliability andinternal
consistency ofinternational andnational
information

Improvements of models and tools (2)Extended Snapshot Tool

Extension of ExSS to cover whole related sectors

Point 1:Detailed
disaggregation of“Green Industry”
sectors
Assessment of regional
economy stimulation
with green policies

Point 2:Modeling offinancial aspectsof Low carbon
society policies
Accounting ofmonetary flows caused
by LCS policies
13

Export of green
products
Input coefficient fromgreen products
Green products in fixed
capital formation

Output of green
industry

Labor participation
ratio
Demographic
composition

Labor demand ofgreen industry

IO
analysis

Output byindustry

Wage

Fixed capital formation

Energy service demand
per driving force
Energy end-use device
energy efficiency
Energy end-use device
shareConsumption pattern

Output ofcommercial
industry

Output ofmanufacturingindustry

Population

Commercial
building floorarea

Freighttransport
demandPassenger
transport
demandFuel share

Household size
Number ofhousehold
Trip per person
Trip distance
Modal share
Freight generation per
outputTransport distance
Modal share

Energy service demand

LandusechangePoint 3: Merging
with “AFOLU,
Municipal Solid
Waste Module”

Energy efficiency
Final energy demand

Dispersed power
generation (DPG)

Energy efficiency (CPG)
Fuel share (CPG)

Energy efficiency DPG

Previous
landuseTaxation and social security

Consumption

Government expenditure

Floor area per output

IncomeForest land
Settlements

Population

Labor demand

Livestock
CroplandFood demand

Export by goods

Import ratio
Input coefficientmatrixAgricultural
production

Energy demand (DPG)

Cost of lowcarbon measures

Central power generation(CPG)
Energy demand (CPG)

Primary energy supply
Privateinvestment for
low-carbon
measures

Government
expenditure forlow-carbon
measuresInternational
funding

Domestic funding

Transmission loss (CPG)
Own use (CPG)

CO2 emission factor

CO2 emissions

Exogenous
variables
Parameters

Endogenous
variables

Point 4: Merging
with “Diffused
Energy Supply
Model”

Improvements of models and tools (3):Element models

Consolidation of reconciliation process and projection tools
Structured equations in the “Element
Models” such as• Population/Household dynamics model (PHM)• House and building dynamics model (BDM)• Traffic demand model (TDM)• Material stocks and flow model (MSFM)

Estimation of
key parameters in the base year
Reconciliation of database information
based on estimated parameters andstructured equations
Reconciliated base year database

14

Original database in base year

Scenario projections
using;• Reconciliated base year
information• Estimated key
parameters• Assumption of policy
interventions in
Scenarios

Policy interventions
and Storylines ofSocio-economic
scenarioFor example, in case of “Passenger Traffic Demand Model (PTDM)”
Identificationof structureandparameter
estimation

Structure equations in PTDM
• Dynamic behavior equations of passenger
transport• Definitional and consistency equations ofparameters and variables

Key variables and parameters in the model:
•
•
•
•
•
•
•
•
•

Total trip number per day per person
Modal shares
Frequencies of trips per person by objective
Trip lengths per trip by mode
Seat load factors by mode
Number of vehicles by mode per person
Fuel mileages by mode and cohort of vehicles
Fares/costs per trip distance by mode
Transport infrastructure capacities per person by mode

Statistics on
•
•
•
•
•
•
•

15

Demographic structure
Transport volume and energy
Person trip survey
Vehicle stocks
Household consumption
Labor
Road and railway

Reconciliation of baseyear's condition• Traffic volumes by mode
• Transport energy consumptions bymode and fuel type
• Vehicle stocks and operation rate

Projections under future condition• Traffic volumes by mode
• Transport energy consumptions bymode and fuel type
• Vehicle stocks and operation rate

Reconciliationof initialconditions
Projection of
futureInterventions to key
parameters by
policies, changes
corresponding tostorylines of socioeconomic scenarios

Pan-Asian LCS study now going on
Pan-Asian Study
Expected progress in FY2011
Pan-Asian
Study

16

Progress up to now

1. Hard coupling of AIM/CGE,
AIM/enduse and some elemetmodels to AIM/CGE(Hybrid)

1. Tuning the behavior of theconsolidated model andcomparing the results

2. Preparing world and PanAsian reference scenarios as
references of national LCS
development

2. Final stage of tuning two
scenarios, SLCS and SSTAG

3. Integrating with national
scenarios, and analyzing gaps
of international and local GHG
reduction policies

3. Established a methodology
from global results to eachnational scenario (boundary
conditions)
Still integrating national
informations towards pan-Asian
consolidated information
database

Collaborating
Research Institutes
S6 teams in Japaneseinstitutions

National LCS studies now going on
Expected progress in FY2011

Progress up to now

China

Coupling with ERI's national
study with AIM/CGE

Tuning the calculated results
China Energy Researchand comparing theInstitutescenarios/assumptions/resultswith ERI's and other projections

India

Following up of IIM's 2C"Conventional Mitigation" and"Sustainable" scenarios with
AIM/CGE
National LCS study using
compled CGE and enduse
model
National LCS study using
coupled ExSS, enduse modeland AFOLU model
National LCS study covered all
sectors

Tuning the calculated results
and analysing theresults/feasibilties of the
scenarios
On going

ThailandIndonesia

Preliminary projections withenergy ExSS and AFOLU
modulesVietnamPreliminary projections withenergy ExSS and AFOLU
modules
Bangladesh Preliminary analysis ofPreliminary analysis of
Bangladesh LCS with ExSS,
Bangladesh LCS with energy
covering all sectors
ExSS
Malaysia
National LCS study covering all Following up the result of thesectors
second national communication
with ExSS and AFOLU models

17

Collaborating ResearchInstitutes

IIM Ahmedabad

Thammasat University

Institut Teknologi Bandung

Institute of Strategy and Policy
on Natural Resources andEnvironment (ISPONRE)

Universiti Teknologi Malaysia

Local regional LCS studies now going on
Local region studies
Activity in FY2011

Iskandar,Malaysia

Start full scale interaction with on site governmental institutions
Preparing a draft of "Blueprint to Low Carbon Iskandar" including 12 actions
Start assessment study on co-benefits by 3R policies and Air quality management
Developing Regional Diffused Energy Supply System Model
Developing a systematic methodology of Consensus Building towards LCS

Collaborating Research Institutes
Universiti Teknologi Malaysia (UTM)
Iskandar Regional Development Authority (IRDA)
Federal Department of Town and Country Planning
Malaysia (JPBD)
Malaysian Green Technology Corporation (MGTC)

Putrajaya, Finished preliminary design of "Actions towards Putrajaya Green City 2025".
Conducted "Focus Group Meeting" with regional stakeholders
Malaysis

Universiti Teknologi Malaysia (UTM)
Putrajaya Corporation
Malaysian Green Technology Corporation (MGTC)

Cyberjaya, Start “Cyberjaya Digital Green City 2025 (Cyber DGC 2025) project with four pillars;
Malaysia“Low-carbon Cyberjaya” for climate change mitigation,

Universiti Teknologi Malaysia (UTM)
Multimedia Development Corporation Sdn. Bhd((MDeC)
Cyberview Sdn. Bhd“Smart 3R Cyberjaya” for solid waste management,“Livable & Vibrant City” for a good living environment,“Smart Digital Network City” for an ICT-based society.

King Mongkut's University of Technology
Ratchaburi,
On going
Thailand
Guangzhou Finished preliminary design of "4. Actions for Guangzhou Low-carbon Social development" Guangzhou Institute of Energy Conversion
including 5 actions;, China
Action 1: Convenient transport, Action 2: Green Building, Action 3: Decarbonation ofIndustry, Action 4: Fuel Switch, Action 5: Low-carbon Electricity

Bhopal,India

Kyonggi
Province,
Korea

18

Finish the 1st phase study on "Low Carbon Society Scenario Bhopal, 2035" with 7 actions;
Action 1:GREEN GOVERNANCE: Government Initiatives Towards LCS
Action 2:HOLISTIC HABITAT: Energy Efficiency in Buildings
Action 3:SUSTAINABLE STYLE: Low Carbon Lifestyle
Action 4:CELLULAR CITY: Multi Nuclei Land Use Planning
Action 5:FORM AND FLOW: Integrating Transport with City Structure
Action 6:NURTURING NATURE: Leveraging on the Natural and Historic Assets
Action 7:RURAL RICHES: Promoting a Better Lifestyle in the Rural Areas
Had a symposium with regional policy makers and stakeholders to stimulate Actions, on
Sept. 2011
Preliminary analysis of energy related part are conducting with ExSS

Maulana Azad National Institute of Technology,
BhopalSchool of Planning and Architecture, Bhopal

Seoul National University

Brochures introducing our country and region LCS studies
Communication and feedbacks of LCS study to real world
2007/05

2008/12

2009/10

2009/10

2009/10

2009/11

2009/112010/102010/10

2011/03

2011/05

2011/092011/10on going

on going

19

An example of Local regional LCS study: Project for Development of
Low Carbon Society Scenarios for Asian Regions (SATREPS-LCS)

20



Establish a methodology to create LCS scenarios which isappropriate for Malaysia through a case study of LCS development
in Iskandar Malaysia. Also, the overall aim will result in and benefit
not only the specific region but also the whole Malaysia as well as
the other Asian regions by providing the LCS scenario
development methodology for Asian regions.



Now on the later stage of data collection for improvement of LCS
scenario in Iskandar Malaysia, while carrying out capacity
development of Malaysian researchers and policy.



As an output in the first phase, the project will propose “a dozen
actions towards low carbon society in Iskandar Malaysia” by March
2011, which will be incorporated into “Blue Print on Low Carbon
Society” to be newly issued by IRDA.

Major events under SATREPSLCS project in FY2011
1st Symposium (4th July)

2nd June, 2011
- Signing of Record of Discussions between Malaysian
government and JICA
 4th & 5th July, 2011
- 1st Symposium on Low Carbon Asia Project (Approx. 120
participants)- 1st International Training Workshop (Approx.70 attendees) 2nd -9th October, 2011
- Training on Consensus Building towards LCS
 31st October, 2011
- 2nd Symposium on Low Carbon Asia Project (Approx.100
participants)
 1st November, 2011
- 2nd International Training Workshop (Approx. 60 participants)
 28th November – 9th December, 2011
- Exhibition & Side Event at COP17 in Durban, South Africa


2nd Training Workshop(2nd November)Consensus building training(2nd -9th October)

Side Event in
COP17(2nd December)

21

Exhibition booth in COP17(28th November-9th
December)News on SATREPS-LCS in FY2011 by the press
1

3

The Star Online*Online news of The
Star, the biggest
issuer in Malaysia
On 8th July 2011

Utusan Online *Online news of
Utusan, one of major
newspapers in Malaysia
On 6th July 2011
http://www.utusan.com.my/utus
an/info.asp?y=2011&dt=0706&p
ub=Utusan_Malaysia&sec=Johor&pg=wj_01.htm

4

2

7

22

NanyangSiang Pau Regional
On 5th July
2011

Berita Harian *Oneof major newspapers
in Malaysia
On 6th July 2011

5

Daily Asia
INFO
*Reporting
industrial newsof Malaysia

China Press Regional
On 6th July 2011

NNA.ASIA*Reporting
economic businessinformation of
Malaysia
http://nna.jp/free/ne
ws/20110705myr002
A.html896

Sin Chew Jit
Poh
On 5th July 201111

2011年10月6日中日新聞

2011/12/22

ClimateChangeStudio,Durban
Exhibition,
On 1st Dec.
2011

Bhopal LCS study was also introduced in a newspaper

23Interview on SATREPS-LCS Project at
COP17
2nd December, 2011
Durban Exhibition Center, South Africa
by “Climate Change Studio”

Prof. Ho Chin Siong
Universiti Teknologi
Malaysia (UTM), Malaysia
Dr. Juinichi Fujino
National Institute for Environmental
Studies (NIES), Japan24

Mr. Mohamad Bin Sa’elal
Iskandar Regional Development
Authority (IRDA), Malaysia