Please check the examination details below before entering your candidate information
Candidate surname Other names
Centre Number Candidate Number
Pearson Edexcel Level 3 GCE
Monday 10 June 2024
reference
Paper
9GE0/03
Afternoon (Time: 2 hours 15 minutes)
Geography
Advanced
PAPER 3
Total Marks
Calculator, Ruler
Instructions
• Use black ink or ball-point pen.
centre number and candidate number.
Answer the questions in the spaces provided –
there may be more space than you need.
Any calculations must show all stages of working out and a clear answer.
Information
• The total mark for this paper is 70.
– use this as a guide as to how much time to spend on each question. Calculators may be
used.
Advice
• You are advised to spend the first 15 minutes reading the Resource Booklet.
• Check your answers if you have time at the end.
Turn over
, Answer ALL questions.
You must use the Resource Booklet provided and your own knowledge and understanding from across your
course of study to answer the questions in this paper.
1 Explain why transnational corporations (TNCs) benefit from globalisation.
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . . . .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . . . .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
(Total for Question 1 = 4 marks)
,
, 2 (a) Table 1 below shows data from 2019 for the Gross Domestic Product (GDP) per capita
and the Environmental Vulnerability Index (EVI)* for Haiti and 11 of its closest
neighbouring countries.
A Spearman correlation test was used to establish whether there was a statistically
significant relationship between GDP per capita and the EVI of these 12 countries.
The null hypothesis: There is no significant relationship between the level of GDP per capita of a
country and its EVI score.
The alternative hypothesis: There is a significant relationship between the level of GDP per capita of a
country and its EVI score.
*Environmental vulnerability uses 50 variables to measure the level of both natural and
human threats, as well as the resilience of countries in coping with these threats.
The higher the EVI scores the more vulnerable is the country.
GDP per capita Rank Environmental Rank d d2
in US$ Vulnerability Index
(EVI)
Colombia 6,630 7 296 5 2 4
Costa Rica 13,373 3 354 11 −8 64
Cuba 9,540 5 329 9 −4 16
Dominican Republic 8,476 6 324 8 −2 4
Haiti 1,819 12 343 10 2 4
Honduras 3,040 10 273 3 7 49
Jamaica 5,185 8 381 12 −4 16
Mexico 11,091 4 306 7 −3 9
Nicaragua 2,255 11 272 2 9 81
Panama 17,358 2 247 1 1 1
United States 62,866 1 300
Venezuela 3,460 9 291 4 5 25
∑d2 =
Table 1
Candidate surname Other names
Centre Number Candidate Number
Pearson Edexcel Level 3 GCE
Monday 10 June 2024
reference
Paper
9GE0/03
Afternoon (Time: 2 hours 15 minutes)
Geography
Advanced
PAPER 3
Total Marks
Calculator, Ruler
Instructions
• Use black ink or ball-point pen.
centre number and candidate number.
Answer the questions in the spaces provided –
there may be more space than you need.
Any calculations must show all stages of working out and a clear answer.
Information
• The total mark for this paper is 70.
– use this as a guide as to how much time to spend on each question. Calculators may be
used.
Advice
• You are advised to spend the first 15 minutes reading the Resource Booklet.
• Check your answers if you have time at the end.
Turn over
, Answer ALL questions.
You must use the Resource Booklet provided and your own knowledge and understanding from across your
course of study to answer the questions in this paper.
1 Explain why transnational corporations (TNCs) benefit from globalisation.
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . . . .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . . . .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. . .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. ... . .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . ......................
(Total for Question 1 = 4 marks)
,
, 2 (a) Table 1 below shows data from 2019 for the Gross Domestic Product (GDP) per capita
and the Environmental Vulnerability Index (EVI)* for Haiti and 11 of its closest
neighbouring countries.
A Spearman correlation test was used to establish whether there was a statistically
significant relationship between GDP per capita and the EVI of these 12 countries.
The null hypothesis: There is no significant relationship between the level of GDP per capita of a
country and its EVI score.
The alternative hypothesis: There is a significant relationship between the level of GDP per capita of a
country and its EVI score.
*Environmental vulnerability uses 50 variables to measure the level of both natural and
human threats, as well as the resilience of countries in coping with these threats.
The higher the EVI scores the more vulnerable is the country.
GDP per capita Rank Environmental Rank d d2
in US$ Vulnerability Index
(EVI)
Colombia 6,630 7 296 5 2 4
Costa Rica 13,373 3 354 11 −8 64
Cuba 9,540 5 329 9 −4 16
Dominican Republic 8,476 6 324 8 −2 4
Haiti 1,819 12 343 10 2 4
Honduras 3,040 10 273 3 7 49
Jamaica 5,185 8 381 12 −4 16
Mexico 11,091 4 306 7 −3 9
Nicaragua 2,255 11 272 2 9 81
Panama 17,358 2 247 1 1 1
United States 62,866 1 300
Venezuela 3,460 9 291 4 5 25
∑d2 =
Table 1
