SlideShare une entreprise Scribd logo
1  sur  56
Télécharger pour lire hors ligne
NEW MOBILITIES, NEW AGRARIAN
FORMS?

Migration and agrarian
transformations in Southeast
Jonathan	
  Rigg	
  
Geography	
  Department	
  
Na0onal	
  University	
  of	
  Singapore
Development	
  writ	
  small:

Two	
  villages,	
  77	
  households,	
  25	
  years

Ban	
  Non	
  Tae,	
  Northeast	
  Thailand:	
  1982
Ban	
  Non	
  Tae,	
  Northeast	
  Thailand:	
  1994
Ban	
  Non	
  Tae,	
  Northeast	
  Thailand:	
  2008
Three	
  surprises	
  here

!

1. Majority	
  of	
  households	
  dependent	
  on	
  non-­‐farm	
  work	
  &	
  individuals	
  
increasingly	
  mobile	
  
2. Despite	
  25	
  years	
  of	
  profound	
  change,	
  tracked	
  down	
  77	
  of	
  original	
  81	
  
households	
  	
  
3. Large	
  majority	
  of	
  households	
  con0nued	
  to	
  own	
  and	
  farm	
  land
Household code

Trends	
  vs.	
  
turbulence

Amount of 
money earned
Mobile	
  living:	
  counHng	
  and	
  catching	
  
the	
  new	
  normal
‘FloaHng	
  populaHons’	
  in	
  Vietnam	
  and	
  China
!
Vietnam	
  	
  
• 12-­‐16	
  million,	
  or	
  13-­‐18%	
  of	
  the	
  country’s	
  total	
  popula0on	
  in	
  2010	
  (UNDP	
  
2010:	
  5)	
  

!

!

China	
  	
  
• 130	
  mio.	
  rural-­‐urban	
  migrant	
  workers	
  
• largest	
  migra0on	
  stream	
  in	
  human	
  history;	
  including	
  rural-­‐rural	
  migrants	
  
• total	
  number	
  on	
  the	
  move	
  at	
  the	
  end	
  of	
  2008:	
  225	
  mio.	
  

!
!

Thailand,	
  Indonesia,	
  Philippines	
  	
  
• several	
  million	
  migrants	
  in	
  each	
  of	
  these	
  countries
‘FloaHng	
  populaHons’	
  in	
  Vietnam	
  and	
  China

„For the most part, migration data remain patchy, non-comparable
and difficult to access.	
  … !
Despite our ability to establish these broad contours of
movement, what we know is dwarfed by what we don’t know.
Unfortunately, migration data remain weak. It is much easier for
policy makers to count the international movements of shoes and
cell-phones than of nurses and construction workers.“	
  
(UNDP	
  2009,	
  28)
Known	
  unknowns:	
  Ban	
  Khokmayom:	
  	
  
Gauging	
  the	
  populaHon	
  of	
  a	
  village	
  in	
  Thailand

!10
Known	
  unknowns:	
  Ban	
  Khokmayom:	
  	
  
Gauging	
  the	
  populaHon	
  of	
  a	
  village	
  in	
  Thailand

Households
Uthai	
  district	
  census	
  bureau	
  (2005)

PopulaHon

-­‐

378

Tambon	
  data	
  (Kor	
  Chor	
  Chor	
  2	
  Khor	
  2003)
Tambon	
  health	
  staHon	
  (2005)
Survey	
  esHmate	
  (2005)
!11
Known	
  unknowns:	
  Ban	
  Khokmayom:	
  	
  
Gauging	
  the	
  populaHon	
  of	
  a	
  village	
  in	
  Thailand

Households

PopulaHon

Uthai	
  district	
  census	
  bureau	
  (2005)

-­‐

378

Tambon	
  data	
  (Kor	
  Chor	
  Chor	
  2	
  Khor	
  2003)

126

425

Tambon	
  health	
  staHon	
  (2005)
Survey	
  esHmate	
  (2005)
!12
Known	
  unknowns:	
  Ban	
  Khokmayom:	
  	
  
Gauging	
  the	
  populaHon	
  of	
  a	
  village	
  in	
  Thailand

Households

PopulaHon

Uthai	
  district	
  census	
  bureau	
  (2005)

-­‐

378

Tambon	
  data	
  (Kor	
  Chor	
  Chor	
  2	
  Khor	
  2003)

126
126

425
425

Tambon	
  health	
  staHon	
  (2005)
Survey	
  esHmate	
  (2005)

288
288
-­‐

1,257
1,257
3,000
!13
Known	
  unknowns:	
  Ban	
  Khokmayom:	
  	
  
Gauging	
  the	
  populaHon	
  of	
  a	
  village	
  in	
  Thailand

Households

PopulaHon

Uthai	
  district	
  census	
  bureau	
  (2005)

-­‐

378

Tambon	
  data	
  (Kor	
  Chor	
  Chor	
  2	
  Khor	
  2003)

126

425

Tambon	
  health	
  staHon	
  (2005)
Survey	
  esHmate	
  (2005)

288
-

1,257
3,000
!14
Ban Khokmayom
Ban	
  Khokmayom
Everyday	
  poliHcal	
  economies:	
  	
  
Ban	
  Khokmayom
Ban	
  Khokmayom
Land-­‐grabbing/global	
  enclosure	
  in	
  Laos

rubber	
  in	
  the	
  north
Mobility,	
  the	
  life	
  course	
  and	
  era-­‐
defining	
  change
Male

Female

100,0000
75,0000

Farming 1989
Non-farm work 1989

50,0000
25,0000

Rite of passage?

!

s

+

s
60

ye

ar

ar

s
50

-5

9

ye

ar

s
40

-4

9

ye

ar

s
30

-3

9

ye

ar

s
-2

9

ye
9

20

-1
10

ye

s

ar

+

s
60

ye

ar

ar

s
-5

9

ye

ar

s

50

40

-4

9

ye

ar

s
30

-3

9

ye

ar
ye

9
-2

20

10

-1

9

ye

ar

s

0,0000

Teasing	
  out	
  era,	
  life	
  course	
  and	
  generaHonal	
  changes	
  
Gender,	
  genera0on	
  and	
  occupa0on	
  in	
  a	
  Northeastern	
  Thai	
  village
100,0000
75,0000

Farming 1989
Non-farm work 1989

50,0000
25,0000
0,0000

Male

Female

100,0000

Or era-defining
change?

75,0000
50,0000

Farming 2000
Non-farm work 2000

25,0000

s

+

s
60

ye

ar

ar

s
-5

9

ye

ar

s

50

-4

9

ye

ar

s

40

30

-3

9

ye

ar

s

ye

ar
9

ye

-2

9
-1
10

60

20

a
ye rs
ar
s+

s
-5

9

ye

ar

s

50

40

-4

9

ye

ar

s

ye

ar
30

-3

9

ye
9

-2
20

10

-1

9

ye

ar

s

0,0000
Residency	
  classificaHon	
  of	
  interviewees	
  
Hanoi,	
  Vietnam	
  (2010)
Residency	
  
classificaHon

Number	
  of	
  
interviewees

%	
  of	
  sample

KT1

6

20

Average	
  length	
  of	
  
Hme	
  in	
  Hanoi	
  
(years)
20

KT2

3

10

20

KT3

7

23

14

KT4

9

30

13

No	
  registraHon

2

7

9

Unknown

3

10

6

Total

30

100

14

Note:	
  KT3	
  and	
  KT4	
  are	
  temporary	
  registra0ons;	
  these	
  interviewees	
  do	
  not	
  have	
  
urban	
  residency	
  or	
  ho	
  khau
MulH-­‐sited	
  households,	
  	
  
mulH-­‐sited	
  livelihoods
Household	
  footprints,	
  	
  
Northeast	
  Thailand
Income	
  sources	
  	
  
Ban	
  Dong	
  Daeng,	
  Northeast	
  Thailand:	
  1981	
  &	
  2002	
  (%)

100
90
80
70
60
50
40
30
20
10
0

40:60	
  agricultural/non-­‐agricultural
60:40	
  in	
  situ/ex	
  situ

!
Village-based,!
agricultural

!
Village-based, !
Non-village based,!
non-agricultural wages and remittances

Source: data extracted from Funahashi 2009: 3.
Income	
  sources	
  	
  
Ban	
  Dong	
  Daeng,	
  Northeast	
  Thailand:	
  1981	
  &	
  2002	
  (%)

100
90
80
70
60
50
40
30
20
10
0

40:60	
  agricultural/non-­‐agricultural
15:85	
  agricultural/non-­‐agricultural
60:40	
  in	
  situ/ex	
  situ
20:80	
  in	
  situ/ex	
  situ

!
Village-based,!
agricultural

!
Village-based, !
Non-village based,!
non-agricultural wages and remittances

Source: data extracted from Funahashi 2009: 3.
Sub-­‐livelihood	
  landholdings:	
  few	
  are	
  becoming	
  landless;	
  
many	
  are	
  becoming	
  land	
  poor

45,0
40,0

% (n=77)

35,0

The	
  %	
  of	
  landless	
  households	
  in	
  25	
  
years	
  has	
  risen	
  from	
  5%	
  to	
  15%	
  -­‐	
  85%	
  
sHll	
  own	
  (some)	
  land

1982/83
2008

30,0
25,0
20,0
15,0
10,0
5,0
0,0
None

1-2

3-5

6-9

10-19 20-50

Categories of farmholding (rail)

>50
Villages	
  sustained	
  through	
  absence	
  	
  
(Thanh	
  Hoa,	
  Vietnam,	
  2010)	
  
‘remieance	
  landscapes’	
  (McKay)
MigraHon	
  and	
  farming
MigraHon,	
  dissociaHon	
  and	
  the	
  geriatrificaHon	
  of	
  
farming
Age (1982/1983)
Occupation categories

%
(N=275)

Mean!! Median

Farming

83,6

35,7

Casual wage
work

5,1

Government
employment

Age (2008)
%!
(N = 232)

Mean

Median

35,0

51,7

54,8

58

42,1

39

12,5

39,3

39

3,6

34,2

35

11,2

38,5

37

Private
employment

1,8

20,2

18

9,9

35,0

34

Entrepreneurs

0,7

37,5

37,5

9,1

39,9

36,5

Others

5,1

23,6

22

5,6

33,8

32

Ageing	
  farmers
GeriatrificaHon	
  of	
  farming	
  &	
  reproducHon	
  of	
  farm	
  household	
  
(Average	
  age	
  of	
  household	
  heads	
  risen	
  from	
  47	
  to	
  60	
  years	
  old)
•
•
•
•
•
•

Mechanisa<on	
  
Geriatrifica<on	
  of	
  farming	
  
Disintensifica<on	
  
Land	
  use	
  change	
  
Cropping	
  changes	
  (transplant	
  –	
  broadcast	
  rice	
  culture)	
  
Idle	
  land
In	
  Japan	
  
• Average	
  size	
  of	
  farm	
  =	
  1.9	
  ha	
  
• 85%	
  of	
  farmers	
  are	
  part-­‐<me	
  
• Between	
  1960-­‐2004	
  number	
  of	
  farmers	
  dropped	
  from	
  12.2	
  million	
  to	
  2.2	
  million	
  
• In	
  2009,	
  66,000	
  people	
  took	
  up	
  farming;	
  just	
  1,850	
  were	
  from	
  non-­‐farming	
  
backgrounds	
  
• The	
  average	
  age	
  of	
  farmers	
  exceeded	
  65	
  for	
  the	
  first	
  <me	
  in	
  2010	
  (65.8	
  years)	
  
• In	
  many	
  areas,	
  just	
  10%	
  of	
  farmers	
  have	
  a	
  son/daughter	
  willing	
  to	
  take	
  over	
  the	
  farm
The	
  household	
  and	
  the	
  reproducHon	
  of	
  the	
  
farm	
  household
Household	
  footprints,	
  	
  
Northeast	
  Thailand
Household	
  complexity,	
  Maharsarakham,	
  Thailand
Demographic	
  characterisHcs

1982/83

2008

Baseline

Re-­‐study

Household	
  head	
  or	
  relaHonships	
  to	
  household	
  head	
  (%)
Household	
  head

	
  15.7	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Spouse	
  of	
  HH	
  head

	
  13.6	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Child	
  of	
  household	
  head

	
  54.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Spouse	
  of	
  child	
  of	
  HH	
  head

	
  3.9	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Grandchild	
  of	
  HH	
  head

	
  9.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Spouse	
  of	
  grandchild	
  of	
  HH	
  head

0.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Nephew/nieces	
  of	
  HH	
  head

	
  0.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Parent	
  of	
  HH	
  head/spouse

	
  1.0	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Sibling	
  of	
  HH	
  head/spouse

	
  1.6	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  

Other	
  extended	
  family	
  members

0.4	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
Household	
  complexity,	
  Maharsarakham,	
  Thailand
Demographic	
  characterisHcs

1982/83

2008

Baseline

Re-­‐study

Household	
  head	
  or	
  relaHonships	
  to	
  household	
  head	
  (%)
Household	
  head

	
  15.7	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   21.3

Spouse	
  of	
  HH	
  head

	
  13.6	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   13.0

Child	
  of	
  household	
  head

	
  54.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   22.7

Spouse	
  of	
  child	
  of	
  HH	
  head

	
  3.9	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   8.8

Grandchild	
  of	
  HH	
  head

	
  9.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
21.3

Spouse	
  of	
  grandchild	
  of	
  HH	
  head

0.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  0.0

Nephew/nieces	
  of	
  HH	
  head

	
  0.2	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   2.5

Parent	
  of	
  HH	
  head/spouse

	
  1.0	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   1.4

Sibling	
  of	
  HH	
  head/spouse

	
  1.6	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
   2.2

Other	
  extended	
  family	
  members

0.4	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  6.9
Two	
  issues:	
  
1. What	
  is	
  ‘the	
  household’	
  (No	
  longer	
  a	
  co-­‐
residen<al	
  dwelling	
  unit)	
  
2. How	
  will	
  the	
  farm	
  household	
  be	
  
reproduced?
Mobility,	
  the	
  natal	
  village	
  	
  
and	
  the	
  middle	
  income	
  gap
Date	
  of	
  departure	
  of	
  first	
  and	
  second	
  	
  
generaHon	
  migrants,	
  Thailand
40
30
20
10

Source: survey, Nov-Dec 2012; n = 54 (1st generation
migrants), n = 97 (2nd generation migrants)

2
-1
10

9
-0
05

4
00

-0

9
-9
95

4
-9
90

9
-8
85

4
-8
80

74

-7

9

0

1st genereation migrants
2nd generation migrants
First	
  generaHon	
  migrants	
  in	
  
Bangkok,	
  circa	
  1990
Migrants	
  in	
  Bangkok	
  circa	
  1990

Second	
  generaHon	
  migrants	
  
in	
  Bangkok	
  circa	
  2005
Migrants	
  in	
  Bangkok	
  circa	
  1990

Second	
  generaHon	
  migrants	
  
in	
  Bangkok	
  circa	
  2005

MigraHon	
  and	
  return:	
  the	
  
migrants	
  of	
  the	
  1980s	
  departed	
  
as	
  sojourning	
  farmers;	
  the	
  
migrants	
  of	
  the	
  2000s	
  depart	
  as	
  
school	
  leavers	
  with	
  only	
  a	
  
tenuous	
  link	
  to	
  farming	
  and	
  the	
  
land
EducaHonal	
  status	
  of	
  first	
  and	
  second	
  	
  
generaHon	
  migrants	
  on	
  departure	
  (Thailand)
70%
60%
50%

1st generation
2nd generation

40%
30%
20%
10%
0%

er
te
ca

tifi

n
io
at
uc
Ed

lC
na
tio
ca
Vo

er

igh

H
ry
da
on

ec

y
ar
nd
co

Se

S
er

pp

U

r
we
Lo

y
ar

im
Pr

Source:	
  survey	
  	
  
Nov-­‐Dec	
  2012;	
  n=54	
  (first	
  genera<on	
  migrants)	
  and	
  n	
  =	
  97	
  (second	
  genera<on	
  migrants
MigraHon	
  signatures	
  	
  
Northeast	
  Thailand	
  1974-­‐2012

160
140
120
100
80
60
40
20
0
Migrants
Returnees
Marriage Migrants
Total Migrants (current & returning)

Total
Expected Returnees
Permanent labour migrants
MigraHon	
  signatures	
  	
  
Northeast	
  Thailand	
  1974-­‐2012

160
140
120
100
80
60
40
20
0
Migrants
Returnees
Marriage Migrants
Total Migrants (current & returning)

Total
Expected Returnees
Permanent labour migrants
MigraHon	
  signatures	
  	
  
Northeast	
  Thailand	
  1974-­‐2012

160
140
120
100
80
60
40
20
0
Migrants
Returnees
Marriage Migrants
Total Migrants (current & returning)

Total
Expected Returnees
Permanent labour migrants
MigraHon	
  signatures	
  	
  
Northeast	
  Thailand	
  1974-­‐2012

160
140
120
100
80
60
40
20
0
Migrants
Returnees
Marriage Migrants
Total Migrants (current & returning)

Total
Expected Returnees
Permanent labour migrants
MigraHon	
  signatures	
  	
  
Northeast	
  Thailand	
  1974-­‐2012

160
140
120
100
80
60
40
20
0

22	
  migrants	
  or	
  15%	
  of	
  total	
  were	
  permanent	
  
out-­‐migrants	
  

!

o 60%	
  of	
  first	
  generaHon	
  migrants	
  found	
  
their	
  skills	
  of	
  liele	
  use	
  in	
  the	
  village	
  
o 75%	
  of	
  second	
  generaHon	
  migrants	
  did	
  so

Migrants
Returnees
Marriage Migrants
Total Migrants (current & returning)

Total
Expected Returnees
Permanent labour migrants
Precarity	
  in	
  Thailand:	
  	
  
the	
  formalisaHon	
  of	
  employment,	
  1980-­‐2000

100
80
60
40
20
0

12

20

11

20

10

20

09

20

08

20

07

20

06

20

05

20

00

20

95

19

90

19

85

19

80

19

Formal sector employment
Informal sector employment
Precarity	
  in	
  Thailand:	
  	
  
the	
  informalisaHon	
  of	
  the	
  formal	
  sector,	
  1980-­‐2012

100
80
60
40
20
0

12

20

11

20

10

20

09

20

08

20

07

20

06

20

05

20

00

20

95

19

90

19

85

19

80

19

Formal sector employment
Informal sector employment
What	
  is	
  ‘urban’?	
  	
  
The	
  urbane	
  villager
In	
  the	
  rural…	
  but	
  of	
  the	
  rural?	
  	
  
The	
  rural	
  as	
  socially	
  urban,	
  and	
  also	
  in	
  
terms	
  of	
  ameni<es	
  and	
  iden<<es	
  –	
  being	
  
urbane	
  in	
  the	
  rural
In	
  the	
  rural…	
  but	
  of	
  the	
  rural?	
  
Thompson	
  (2007):	
  ‘socially	
  urban’	
  
Keyes	
  (2010):	
  ‘rural	
  cosmopolitans’	
  
Walker	
  (2012):	
  ‘middle	
  income	
  peasants’
The	
  cosmopolitan	
  peasant...?	
  
“Northeastern	
  families	
  today	
  have	
  
become	
  increasingly	
  ‘cosmopolitan’	
  
because	
  they	
  are	
  linked	
  to	
  a	
  global	
  labor	
  
force,	
  have	
  sophis<cated	
  
understandings	
  of	
  Bangkok	
  society,	
  and	
  
yet	
  s<ll	
  retain	
  long-­‐standing	
  resentment	
  
for	
  being	
  looked	
  down	
  on	
  as	
  country	
  
bumpkins”	
  (Keyes	
  2010:	
  2	
  ).

Contenu connexe

Similaire à New Mobilities, New Agrarian Forms? Migration and Agrarian Transformations in Southeast

Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia  Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia essp2
 
Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia  Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia essp2
 
A look at housing in south africa.2018
A look at housing in south africa.2018A look at housing in south africa.2018
A look at housing in south africa.201871point4
 
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPT
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPTZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPT
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPTshrikrishna kesharwani
 
Four-Year Homeless Trends
Four-Year Homeless TrendsFour-Year Homeless Trends
Four-Year Homeless TrendsFairfax County
 
2011 Indian Census Scheduled Castes & Scheduled Tribes
2011 Indian Census Scheduled Castes & Scheduled Tribes 2011 Indian Census Scheduled Castes & Scheduled Tribes
2011 Indian Census Scheduled Castes & Scheduled Tribes geography_monkey
 
Socio Economic & Caste Census, 2011, Rural India
Socio Economic & Caste Census, 2011, Rural IndiaSocio Economic & Caste Census, 2011, Rural India
Socio Economic & Caste Census, 2011, Rural IndiaShakti Arya
 
Manoj kamat
Manoj kamatManoj kamat
Manoj kamatmskamat
 
Manoj kamat
Manoj kamatManoj kamat
Manoj kamatmskamat
 
IAOS 2018 - Estimating fertility differentials by occupation, E. Lee
IAOS 2018 - Estimating fertility differentials by occupation, E. LeeIAOS 2018 - Estimating fertility differentials by occupation, E. Lee
IAOS 2018 - Estimating fertility differentials by occupation, E. LeeStatsCommunications
 
Rural youth and employment in Ethiopia
Rural youth and employment in EthiopiaRural youth and employment in Ethiopia
Rural youth and employment in Ethiopiaessp2
 
Usa report ppt, US census data, demographics, presentation,study area report,...
Usa report ppt, US census data, demographics, presentation,study area report,...Usa report ppt, US census data, demographics, presentation,study area report,...
Usa report ppt, US census data, demographics, presentation,study area report,...dbpdata
 
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...State of the District - Presentation to Stratford-on-Avon Local Strategic Par...
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...Spencer Payne
 
The State Of Households II
The State Of Households IIThe State Of Households II
The State Of Households IIKRInstitute
 

Similaire à New Mobilities, New Agrarian Forms? Migration and Agrarian Transformations in Southeast (16)

Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia  Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia
 
Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia  Off-farm income and labor markets in rural Ethiopia
Off-farm income and labor markets in rural Ethiopia
 
A look at housing in south africa.2018
A look at housing in south africa.2018A look at housing in south africa.2018
A look at housing in south africa.2018
 
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPT
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPTZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPT
ZONAL DEVELOPMENT PLAN OF HERITAGE ZONE BHOPAL PPT
 
Four-Year Homeless Trends
Four-Year Homeless TrendsFour-Year Homeless Trends
Four-Year Homeless Trends
 
Migration and poverty reduction in nepal
Migration and poverty reduction in nepalMigration and poverty reduction in nepal
Migration and poverty reduction in nepal
 
2011 Indian Census Scheduled Castes & Scheduled Tribes
2011 Indian Census Scheduled Castes & Scheduled Tribes 2011 Indian Census Scheduled Castes & Scheduled Tribes
2011 Indian Census Scheduled Castes & Scheduled Tribes
 
Socio Economic & Caste Census, 2011, Rural India
Socio Economic & Caste Census, 2011, Rural IndiaSocio Economic & Caste Census, 2011, Rural India
Socio Economic & Caste Census, 2011, Rural India
 
Manoj kamat
Manoj kamatManoj kamat
Manoj kamat
 
Manoj kamat
Manoj kamatManoj kamat
Manoj kamat
 
IAOS 2018 - Estimating fertility differentials by occupation, E. Lee
IAOS 2018 - Estimating fertility differentials by occupation, E. LeeIAOS 2018 - Estimating fertility differentials by occupation, E. Lee
IAOS 2018 - Estimating fertility differentials by occupation, E. Lee
 
Scheduled Tribes in India: As revealed in Census 2011
Scheduled Tribes in India: As revealed in Census 2011Scheduled Tribes in India: As revealed in Census 2011
Scheduled Tribes in India: As revealed in Census 2011
 
Rural youth and employment in Ethiopia
Rural youth and employment in EthiopiaRural youth and employment in Ethiopia
Rural youth and employment in Ethiopia
 
Usa report ppt, US census data, demographics, presentation,study area report,...
Usa report ppt, US census data, demographics, presentation,study area report,...Usa report ppt, US census data, demographics, presentation,study area report,...
Usa report ppt, US census data, demographics, presentation,study area report,...
 
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...State of the District - Presentation to Stratford-on-Avon Local Strategic Par...
State of the District - Presentation to Stratford-on-Avon Local Strategic Par...
 
The State Of Households II
The State Of Households IIThe State Of Households II
The State Of Households II
 

Plus de CIFOR-ICRAF

Delivering nature-based solution outcomes by addressing policy, institutiona...
Delivering nature-based solution outcomes by addressing  policy, institutiona...Delivering nature-based solution outcomes by addressing  policy, institutiona...
Delivering nature-based solution outcomes by addressing policy, institutiona...CIFOR-ICRAF
 
Policy Dialogue Three Key Priorities
Policy Dialogue Three Key PrioritiesPolicy Dialogue Three Key Priorities
Policy Dialogue Three Key PrioritiesCIFOR-ICRAF
 
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...CIFOR-ICRAF
 
The role of forest in climate change mitigation: Introduction to REDD+ initia...
The role of forest in climate change mitigation: Introduction to REDD+ initia...The role of forest in climate change mitigation: Introduction to REDD+ initia...
The role of forest in climate change mitigation: Introduction to REDD+ initia...CIFOR-ICRAF
 
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...CIFOR-ICRAF
 
La RDC dans le paysage des projets et des programmes juridictionnels REDD+
La RDC dans le paysage des projets et des programmes juridictionnels REDD+La RDC dans le paysage des projets et des programmes juridictionnels REDD+
La RDC dans le paysage des projets et des programmes juridictionnels REDD+CIFOR-ICRAF
 
Cadre légal et réglementaire du marché carbone en RDC
Cadre légal et réglementaire du marché carbone en RDCCadre légal et réglementaire du marché carbone en RDC
Cadre légal et réglementaire du marché carbone en RDCCIFOR-ICRAF
 
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...Exploitation minière artisanale, moyens de subsistance et déforestation dans ...
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...CIFOR-ICRAF
 
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...CIFOR-ICRAF
 
Industries miniéres et justice climatique en Afrique centrale : étude de droi...
Industries miniéres et justice climatique en Afrique centrale : étude de droi...Industries miniéres et justice climatique en Afrique centrale : étude de droi...
Industries miniéres et justice climatique en Afrique centrale : étude de droi...CIFOR-ICRAF
 
Enjeux de la future politique forestière de la République Démocratique du Congo
Enjeux de la future politique forestière de la République Démocratique du CongoEnjeux de la future politique forestière de la République Démocratique du Congo
Enjeux de la future politique forestière de la République Démocratique du CongoCIFOR-ICRAF
 
Incentive Scheme for Smallholders
Incentive Scheme for Smallholders Incentive Scheme for Smallholders
Incentive Scheme for Smallholders CIFOR-ICRAF
 
Capacity Building in oil palm trade and sustainability
Capacity Building in oil palm trade and sustainabilityCapacity Building in oil palm trade and sustainability
Capacity Building in oil palm trade and sustainabilityCIFOR-ICRAF
 
Monitoring songbirds' online market
Monitoring songbirds' online market Monitoring songbirds' online market
Monitoring songbirds' online market CIFOR-ICRAF
 
Supporting Farmer Transition to Produce Deforestation-Free Coffee
Supporting Farmer Transition to Produce Deforestation-Free CoffeeSupporting Farmer Transition to Produce Deforestation-Free Coffee
Supporting Farmer Transition to Produce Deforestation-Free CoffeeCIFOR-ICRAF
 
Pathways to sustainable trade and system dynamic simulation
Pathways to sustainable trade and system dynamic simulationPathways to sustainable trade and system dynamic simulation
Pathways to sustainable trade and system dynamic simulationCIFOR-ICRAF
 
Cenários de desmatamento para o Brasil Plataforma REDD BRASIL
Cenários de desmatamento para o Brasil Plataforma REDD BRASILCenários de desmatamento para o Brasil Plataforma REDD BRASIL
Cenários de desmatamento para o Brasil Plataforma REDD BRASILCIFOR-ICRAF
 
A Plataforma REDD+ Brasil: contexto
A Plataforma REDD+ Brasil: contexto   A Plataforma REDD+ Brasil: contexto
A Plataforma REDD+ Brasil: contexto CIFOR-ICRAF
 
Research priorities in seagrass ecosystems to enhance blue carbon as Natural...
Research priorities in seagrass ecosystems to enhance blue carbon  as Natural...Research priorities in seagrass ecosystems to enhance blue carbon  as Natural...
Research priorities in seagrass ecosystems to enhance blue carbon as Natural...CIFOR-ICRAF
 
The role of mangrove blue carbon research to support national climate mitigat...
The role of mangrove blue carbon research to support national climate mitigat...The role of mangrove blue carbon research to support national climate mitigat...
The role of mangrove blue carbon research to support national climate mitigat...CIFOR-ICRAF
 

Plus de CIFOR-ICRAF (20)

Delivering nature-based solution outcomes by addressing policy, institutiona...
Delivering nature-based solution outcomes by addressing  policy, institutiona...Delivering nature-based solution outcomes by addressing  policy, institutiona...
Delivering nature-based solution outcomes by addressing policy, institutiona...
 
Policy Dialogue Three Key Priorities
Policy Dialogue Three Key PrioritiesPolicy Dialogue Three Key Priorities
Policy Dialogue Three Key Priorities
 
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...
The Second Roadmap on ASEAN Cooperation towards Transboundary Haze Pollution ...
 
The role of forest in climate change mitigation: Introduction to REDD+ initia...
The role of forest in climate change mitigation: Introduction to REDD+ initia...The role of forest in climate change mitigation: Introduction to REDD+ initia...
The role of forest in climate change mitigation: Introduction to REDD+ initia...
 
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...
REDD+ et marche du carbone. Instrument de developpement ou marche de dupes de...
 
La RDC dans le paysage des projets et des programmes juridictionnels REDD+
La RDC dans le paysage des projets et des programmes juridictionnels REDD+La RDC dans le paysage des projets et des programmes juridictionnels REDD+
La RDC dans le paysage des projets et des programmes juridictionnels REDD+
 
Cadre légal et réglementaire du marché carbone en RDC
Cadre légal et réglementaire du marché carbone en RDCCadre légal et réglementaire du marché carbone en RDC
Cadre légal et réglementaire du marché carbone en RDC
 
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...Exploitation minière artisanale, moyens de subsistance et déforestation dans ...
Exploitation minière artisanale, moyens de subsistance et déforestation dans ...
 
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...
Qu'est-ce qui influence l'efficacité des interventions de conservation des fo...
 
Industries miniéres et justice climatique en Afrique centrale : étude de droi...
Industries miniéres et justice climatique en Afrique centrale : étude de droi...Industries miniéres et justice climatique en Afrique centrale : étude de droi...
Industries miniéres et justice climatique en Afrique centrale : étude de droi...
 
Enjeux de la future politique forestière de la République Démocratique du Congo
Enjeux de la future politique forestière de la République Démocratique du CongoEnjeux de la future politique forestière de la République Démocratique du Congo
Enjeux de la future politique forestière de la République Démocratique du Congo
 
Incentive Scheme for Smallholders
Incentive Scheme for Smallholders Incentive Scheme for Smallholders
Incentive Scheme for Smallholders
 
Capacity Building in oil palm trade and sustainability
Capacity Building in oil palm trade and sustainabilityCapacity Building in oil palm trade and sustainability
Capacity Building in oil palm trade and sustainability
 
Monitoring songbirds' online market
Monitoring songbirds' online market Monitoring songbirds' online market
Monitoring songbirds' online market
 
Supporting Farmer Transition to Produce Deforestation-Free Coffee
Supporting Farmer Transition to Produce Deforestation-Free CoffeeSupporting Farmer Transition to Produce Deforestation-Free Coffee
Supporting Farmer Transition to Produce Deforestation-Free Coffee
 
Pathways to sustainable trade and system dynamic simulation
Pathways to sustainable trade and system dynamic simulationPathways to sustainable trade and system dynamic simulation
Pathways to sustainable trade and system dynamic simulation
 
Cenários de desmatamento para o Brasil Plataforma REDD BRASIL
Cenários de desmatamento para o Brasil Plataforma REDD BRASILCenários de desmatamento para o Brasil Plataforma REDD BRASIL
Cenários de desmatamento para o Brasil Plataforma REDD BRASIL
 
A Plataforma REDD+ Brasil: contexto
A Plataforma REDD+ Brasil: contexto   A Plataforma REDD+ Brasil: contexto
A Plataforma REDD+ Brasil: contexto
 
Research priorities in seagrass ecosystems to enhance blue carbon as Natural...
Research priorities in seagrass ecosystems to enhance blue carbon  as Natural...Research priorities in seagrass ecosystems to enhance blue carbon  as Natural...
Research priorities in seagrass ecosystems to enhance blue carbon as Natural...
 
The role of mangrove blue carbon research to support national climate mitigat...
The role of mangrove blue carbon research to support national climate mitigat...The role of mangrove blue carbon research to support national climate mitigat...
The role of mangrove blue carbon research to support national climate mitigat...
 

Dernier

Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEaurabinda banchhor
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operationalssuser3e220a
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptshraddhaparab530
 
Textual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSTextual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSMae Pangan
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
TEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxTEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxruthvilladarez
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmStan Meyer
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management SystemChristalin Nelson
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 

Dernier (20)

Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptxINCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSE
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operational
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.ppt
 
Textual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHSTextual Evidence in Reading and Writing of SHS
Textual Evidence in Reading and Writing of SHS
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
TEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxTEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and Film
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management System
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 

New Mobilities, New Agrarian Forms? Migration and Agrarian Transformations in Southeast

  • 1. NEW MOBILITIES, NEW AGRARIAN FORMS?
 Migration and agrarian transformations in Southeast Jonathan  Rigg   Geography  Department   Na0onal  University  of  Singapore
  • 2. Development  writ  small:
 Two  villages,  77  households,  25  years Ban  Non  Tae,  Northeast  Thailand:  1982
  • 3. Ban  Non  Tae,  Northeast  Thailand:  1994
  • 4. Ban  Non  Tae,  Northeast  Thailand:  2008
  • 5. Three  surprises  here ! 1. Majority  of  households  dependent  on  non-­‐farm  work  &  individuals   increasingly  mobile   2. Despite  25  years  of  profound  change,  tracked  down  77  of  original  81   households     3. Large  majority  of  households  con0nued  to  own  and  farm  land
  • 6. Household code Trends  vs.   turbulence Amount of money earned
  • 7. Mobile  living:  counHng  and  catching   the  new  normal
  • 8. ‘FloaHng  populaHons’  in  Vietnam  and  China ! Vietnam     • 12-­‐16  million,  or  13-­‐18%  of  the  country’s  total  popula0on  in  2010  (UNDP   2010:  5)   ! ! China     • 130  mio.  rural-­‐urban  migrant  workers   • largest  migra0on  stream  in  human  history;  including  rural-­‐rural  migrants   • total  number  on  the  move  at  the  end  of  2008:  225  mio.   ! ! Thailand,  Indonesia,  Philippines     • several  million  migrants  in  each  of  these  countries
  • 9. ‘FloaHng  populaHons’  in  Vietnam  and  China „For the most part, migration data remain patchy, non-comparable and difficult to access.  … ! Despite our ability to establish these broad contours of movement, what we know is dwarfed by what we don’t know. Unfortunately, migration data remain weak. It is much easier for policy makers to count the international movements of shoes and cell-phones than of nurses and construction workers.“   (UNDP  2009,  28)
  • 10. Known  unknowns:  Ban  Khokmayom:     Gauging  the  populaHon  of  a  village  in  Thailand !10
  • 11. Known  unknowns:  Ban  Khokmayom:     Gauging  the  populaHon  of  a  village  in  Thailand Households Uthai  district  census  bureau  (2005) PopulaHon -­‐ 378 Tambon  data  (Kor  Chor  Chor  2  Khor  2003) Tambon  health  staHon  (2005) Survey  esHmate  (2005) !11
  • 12. Known  unknowns:  Ban  Khokmayom:     Gauging  the  populaHon  of  a  village  in  Thailand Households PopulaHon Uthai  district  census  bureau  (2005) -­‐ 378 Tambon  data  (Kor  Chor  Chor  2  Khor  2003) 126 425 Tambon  health  staHon  (2005) Survey  esHmate  (2005) !12
  • 13. Known  unknowns:  Ban  Khokmayom:     Gauging  the  populaHon  of  a  village  in  Thailand Households PopulaHon Uthai  district  census  bureau  (2005) -­‐ 378 Tambon  data  (Kor  Chor  Chor  2  Khor  2003) 126 126 425 425 Tambon  health  staHon  (2005) Survey  esHmate  (2005) 288 288 -­‐ 1,257 1,257 3,000 !13
  • 14. Known  unknowns:  Ban  Khokmayom:     Gauging  the  populaHon  of  a  village  in  Thailand Households PopulaHon Uthai  district  census  bureau  (2005) -­‐ 378 Tambon  data  (Kor  Chor  Chor  2  Khor  2003) 126 425 Tambon  health  staHon  (2005) Survey  esHmate  (2005) 288 - 1,257 3,000 !14
  • 17. Everyday  poliHcal  economies:     Ban  Khokmayom
  • 19. Land-­‐grabbing/global  enclosure  in  Laos rubber  in  the  north
  • 20. Mobility,  the  life  course  and  era-­‐ defining  change
  • 21. Male Female 100,0000 75,0000 Farming 1989 Non-farm work 1989 50,0000 25,0000 Rite of passage? ! s + s 60 ye ar ar s 50 -5 9 ye ar s 40 -4 9 ye ar s 30 -3 9 ye ar s -2 9 ye 9 20 -1 10 ye s ar + s 60 ye ar ar s -5 9 ye ar s 50 40 -4 9 ye ar s 30 -3 9 ye ar ye 9 -2 20 10 -1 9 ye ar s 0,0000 Teasing  out  era,  life  course  and  generaHonal  changes   Gender,  genera0on  and  occupa0on  in  a  Northeastern  Thai  village
  • 22. 100,0000 75,0000 Farming 1989 Non-farm work 1989 50,0000 25,0000 0,0000 Male Female 100,0000 Or era-defining change? 75,0000 50,0000 Farming 2000 Non-farm work 2000 25,0000 s + s 60 ye ar ar s -5 9 ye ar s 50 -4 9 ye ar s 40 30 -3 9 ye ar s ye ar 9 ye -2 9 -1 10 60 20 a ye rs ar s+ s -5 9 ye ar s 50 40 -4 9 ye ar s ye ar 30 -3 9 ye 9 -2 20 10 -1 9 ye ar s 0,0000
  • 23. Residency  classificaHon  of  interviewees   Hanoi,  Vietnam  (2010) Residency   classificaHon Number  of   interviewees %  of  sample KT1 6 20 Average  length  of   Hme  in  Hanoi   (years) 20 KT2 3 10 20 KT3 7 23 14 KT4 9 30 13 No  registraHon 2 7 9 Unknown 3 10 6 Total 30 100 14 Note:  KT3  and  KT4  are  temporary  registra0ons;  these  interviewees  do  not  have   urban  residency  or  ho  khau
  • 24. MulH-­‐sited  households,     mulH-­‐sited  livelihoods
  • 25. Household  footprints,     Northeast  Thailand
  • 26. Income  sources     Ban  Dong  Daeng,  Northeast  Thailand:  1981  &  2002  (%) 100 90 80 70 60 50 40 30 20 10 0 40:60  agricultural/non-­‐agricultural 60:40  in  situ/ex  situ ! Village-based,! agricultural ! Village-based, ! Non-village based,! non-agricultural wages and remittances Source: data extracted from Funahashi 2009: 3.
  • 27. Income  sources     Ban  Dong  Daeng,  Northeast  Thailand:  1981  &  2002  (%) 100 90 80 70 60 50 40 30 20 10 0 40:60  agricultural/non-­‐agricultural 15:85  agricultural/non-­‐agricultural 60:40  in  situ/ex  situ 20:80  in  situ/ex  situ ! Village-based,! agricultural ! Village-based, ! Non-village based,! non-agricultural wages and remittances Source: data extracted from Funahashi 2009: 3.
  • 28. Sub-­‐livelihood  landholdings:  few  are  becoming  landless;   many  are  becoming  land  poor 45,0 40,0 % (n=77) 35,0 The  %  of  landless  households  in  25   years  has  risen  from  5%  to  15%  -­‐  85%   sHll  own  (some)  land 1982/83 2008 30,0 25,0 20,0 15,0 10,0 5,0 0,0 None 1-2 3-5 6-9 10-19 20-50 Categories of farmholding (rail) >50
  • 29. Villages  sustained  through  absence     (Thanh  Hoa,  Vietnam,  2010)   ‘remieance  landscapes’  (McKay)
  • 31. MigraHon,  dissociaHon  and  the  geriatrificaHon  of   farming Age (1982/1983) Occupation categories % (N=275) Mean!! Median Farming 83,6 35,7 Casual wage work 5,1 Government employment Age (2008) %! (N = 232) Mean Median 35,0 51,7 54,8 58 42,1 39 12,5 39,3 39 3,6 34,2 35 11,2 38,5 37 Private employment 1,8 20,2 18 9,9 35,0 34 Entrepreneurs 0,7 37,5 37,5 9,1 39,9 36,5 Others 5,1 23,6 22 5,6 33,8 32 Ageing  farmers
  • 32. GeriatrificaHon  of  farming  &  reproducHon  of  farm  household   (Average  age  of  household  heads  risen  from  47  to  60  years  old)
  • 33. • • • • • • Mechanisa<on   Geriatrifica<on  of  farming   Disintensifica<on   Land  use  change   Cropping  changes  (transplant  –  broadcast  rice  culture)   Idle  land
  • 34. In  Japan   • Average  size  of  farm  =  1.9  ha   • 85%  of  farmers  are  part-­‐<me   • Between  1960-­‐2004  number  of  farmers  dropped  from  12.2  million  to  2.2  million   • In  2009,  66,000  people  took  up  farming;  just  1,850  were  from  non-­‐farming   backgrounds   • The  average  age  of  farmers  exceeded  65  for  the  first  <me  in  2010  (65.8  years)   • In  many  areas,  just  10%  of  farmers  have  a  son/daughter  willing  to  take  over  the  farm
  • 35. The  household  and  the  reproducHon  of  the   farm  household
  • 36. Household  footprints,     Northeast  Thailand
  • 37. Household  complexity,  Maharsarakham,  Thailand Demographic  characterisHcs 1982/83 2008 Baseline Re-­‐study Household  head  or  relaHonships  to  household  head  (%) Household  head  15.7                     Spouse  of  HH  head  13.6                     Child  of  household  head  54.2                     Spouse  of  child  of  HH  head  3.9                         Grandchild  of  HH  head  9.2                         Spouse  of  grandchild  of  HH  head 0.2                           Nephew/nieces  of  HH  head  0.2                         Parent  of  HH  head/spouse  1.0                         Sibling  of  HH  head/spouse  1.6                         Other  extended  family  members 0.4                          
  • 38. Household  complexity,  Maharsarakham,  Thailand Demographic  characterisHcs 1982/83 2008 Baseline Re-­‐study Household  head  or  relaHonships  to  household  head  (%) Household  head  15.7                     21.3 Spouse  of  HH  head  13.6                     13.0 Child  of  household  head  54.2                     22.7 Spouse  of  child  of  HH  head  3.9                         8.8 Grandchild  of  HH  head  9.2                         21.3 Spouse  of  grandchild  of  HH  head 0.2                          0.0 Nephew/nieces  of  HH  head  0.2                         2.5 Parent  of  HH  head/spouse  1.0                         1.4 Sibling  of  HH  head/spouse  1.6                         2.2 Other  extended  family  members 0.4                          6.9
  • 39. Two  issues:   1. What  is  ‘the  household’  (No  longer  a  co-­‐ residen<al  dwelling  unit)   2. How  will  the  farm  household  be   reproduced?
  • 40. Mobility,  the  natal  village     and  the  middle  income  gap
  • 41. Date  of  departure  of  first  and  second     generaHon  migrants,  Thailand 40 30 20 10 Source: survey, Nov-Dec 2012; n = 54 (1st generation migrants), n = 97 (2nd generation migrants) 2 -1 10 9 -0 05 4 00 -0 9 -9 95 4 -9 90 9 -8 85 4 -8 80 74 -7 9 0 1st genereation migrants 2nd generation migrants
  • 42. First  generaHon  migrants  in   Bangkok,  circa  1990
  • 43. Migrants  in  Bangkok  circa  1990 Second  generaHon  migrants   in  Bangkok  circa  2005
  • 44. Migrants  in  Bangkok  circa  1990 Second  generaHon  migrants   in  Bangkok  circa  2005 MigraHon  and  return:  the   migrants  of  the  1980s  departed   as  sojourning  farmers;  the   migrants  of  the  2000s  depart  as   school  leavers  with  only  a   tenuous  link  to  farming  and  the   land
  • 45. EducaHonal  status  of  first  and  second     generaHon  migrants  on  departure  (Thailand) 70% 60% 50% 1st generation 2nd generation 40% 30% 20% 10% 0% er te ca tifi n io at uc Ed lC na tio ca Vo er igh H ry da on ec y ar nd co Se S er pp U r we Lo y ar im Pr Source:  survey     Nov-­‐Dec  2012;  n=54  (first  genera<on  migrants)  and  n  =  97  (second  genera<on  migrants
  • 46. MigraHon  signatures     Northeast  Thailand  1974-­‐2012 160 140 120 100 80 60 40 20 0 Migrants Returnees Marriage Migrants Total Migrants (current & returning) Total Expected Returnees Permanent labour migrants
  • 47. MigraHon  signatures     Northeast  Thailand  1974-­‐2012 160 140 120 100 80 60 40 20 0 Migrants Returnees Marriage Migrants Total Migrants (current & returning) Total Expected Returnees Permanent labour migrants
  • 48. MigraHon  signatures     Northeast  Thailand  1974-­‐2012 160 140 120 100 80 60 40 20 0 Migrants Returnees Marriage Migrants Total Migrants (current & returning) Total Expected Returnees Permanent labour migrants
  • 49. MigraHon  signatures     Northeast  Thailand  1974-­‐2012 160 140 120 100 80 60 40 20 0 Migrants Returnees Marriage Migrants Total Migrants (current & returning) Total Expected Returnees Permanent labour migrants
  • 50. MigraHon  signatures     Northeast  Thailand  1974-­‐2012 160 140 120 100 80 60 40 20 0 22  migrants  or  15%  of  total  were  permanent   out-­‐migrants   ! o 60%  of  first  generaHon  migrants  found   their  skills  of  liele  use  in  the  village   o 75%  of  second  generaHon  migrants  did  so Migrants Returnees Marriage Migrants Total Migrants (current & returning) Total Expected Returnees Permanent labour migrants
  • 51. Precarity  in  Thailand:     the  formalisaHon  of  employment,  1980-­‐2000 100 80 60 40 20 0 12 20 11 20 10 20 09 20 08 20 07 20 06 20 05 20 00 20 95 19 90 19 85 19 80 19 Formal sector employment Informal sector employment
  • 52. Precarity  in  Thailand:     the  informalisaHon  of  the  formal  sector,  1980-­‐2012 100 80 60 40 20 0 12 20 11 20 10 20 09 20 08 20 07 20 06 20 05 20 00 20 95 19 90 19 85 19 80 19 Formal sector employment Informal sector employment
  • 53. What  is  ‘urban’?     The  urbane  villager
  • 54. In  the  rural…  but  of  the  rural?     The  rural  as  socially  urban,  and  also  in   terms  of  ameni<es  and  iden<<es  –  being   urbane  in  the  rural
  • 55. In  the  rural…  but  of  the  rural?   Thompson  (2007):  ‘socially  urban’   Keyes  (2010):  ‘rural  cosmopolitans’   Walker  (2012):  ‘middle  income  peasants’
  • 56. The  cosmopolitan  peasant...?   “Northeastern  families  today  have   become  increasingly  ‘cosmopolitan’   because  they  are  linked  to  a  global  labor   force,  have  sophis<cated   understandings  of  Bangkok  society,  and   yet  s<ll  retain  long-­‐standing  resentment   for  being  looked  down  on  as  country   bumpkins”  (Keyes  2010:  2  ).