tuhin ghosh and *shruti thakur · tuhin ghosh and *shruti thakur deccma-india and *phd researcher...

1
Migration Scenario of Satjalia Island in the Indian Bengal Delta Tuhin Ghosh and *Shruti Thakur DECCMA-India and *PhD Researcher School of Oceanographic Studies, Jadavpur University, Kolkata 700032, India Background of the Study Area Household Survey Participatory household survey of 3037 households; considered 2894 data for in-depth analysis Climate Change Issues and Impacts Results and Observations Contact: [email protected] DECCMA-India School of Oceanographic Studies, Jadavpur University, India Change in temperature and rainfall pattern, in terms of time, duration and amount Local rate of SLR much above the global average Acute river bank erosion Frequent embankment breaching Increasing soil salinity Salt water inundation on the agriculture field Loss in productivity and production Increasing investment in agriculture Lack of alternate skill and job opportunity High exposure to natural hazards like cyclone and storm surge Absence of defined adaptation policy and DRR Satjalia Island (22 0 7′40”N, 88 0 52′06′′E) Situated within the high rank hotspot Block Gosaba, with 2 GPs and 7 mouzas Areal coverage 51.66 km² Population: 206844 persons (Census, 2011) with a density of 778 persons/km Household numbers: 9883 Natural resource based livelihood Flood Situation Embankment Breaching 0 1 2 3 4 5 6 7 Cyclone 1901-2000 15.00 20.00 25.00 30.00 35.00 Year1901 Year1905 Year1909 Year1913 Year1917 Year1921 Year1925 Year1929 Year1933 Year1937 Year1941 Year1945 Year1949 Year1953 Year1957 Year1961 Year1965 Year1969 Year1973 Year1977 Year1981 Year1985 Year1989 Year1993 Year1997 Temperature in °C Max Min Average Surface Temperature 1901-2000 0 500 1000 1500 2000 2500 3000 year1901 year1904 year1907 year1910 year1913 year1916 year1919 year1922 year1925 year1928 year1931 year1934 year1937 year1940 year1943 year1946 year1949 year1952 year1955 year1958 year1961 year1964 year1967 year1970 year1973 year1976 year1979 year1982 year1985 year1988 year1991 year1994 year1997 year2000 Rainfall in mm Rainfall 1901-2000 IBD 400 500 600 700 800 2000-01 2001-02 2002-03 2003-04 2004-05 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 Paddy prod. In ‘000 tonnes Paddy Productivity (2000-2012) 7 0 0 21 14 6 0 302 228 185 314 76 252 210 0 50 100 150 200 250 300 350 Before Aila Migration After Aila Migration Male Migrants of Before and After Aila (Mouza wise) 0 0 0 1 3 0 0 126 34 30 86 43 24 40 0 50 100 150 Before Aila Migration After Aila Migration Female Migrants of Before and After Aila (Mouza wise) 48 85 43 29 55 19 21 17 15 11 28 4 26 9 0 25 50 75 100 Permanent Migrants (Mouza wise) Before Aila Migration After Aila Migration 144 54 37 87 31 26 25 15 6 4 24 0 0 25 0 25 50 75 100 125 150 175 In – Migrants (Mouza wise) Before Aila Migration After Aila Migration 309 228 185 335 90 258 210 125 34 30 87 43 24 40 0 50 100 150 200 250 300 350 400 Male and Female Migrants (Mouza wise) Male Migration Female Migration 5818 5500 5203 6213 5888 6351 7247 3770 3779 4450 3642 2359 5200 5403 0 1000 2000 3000 4000 5000 6000 7000 8000 Male Remittance Female Remittance Migrated Male and Female Average Remittance (Mouza wise) 65 100 54 57 59 45 30 167 60 41 111 31 26 50 0 20 40 60 80 100 120 140 160 180 Out-Migrants In-Migrants Permanent Out-Migrants Vs In-Migrants (Mouza wise) Permanent Migrants 410 Seasonal Male Migrants 1615 Seasonal Female Migrants 383 Permanent In-Migrants 486 Satjalia Island Conclusions 0 5000 10000 6031 4086 Comparison between Male and Female Remittance Out-Migration & In-Migration Observed both the permanent out-migration and in-migration Satjalia mouza is comparatively a safer location with lesser out-migration and higher in-migration Dayapur mouza is the worst with high out- migration and lesser in-migration Lahiripur mouza has the forest in its affinity and attracts resource dependent population The out-migrants are concentrated in the 46- 55 years age group while the in-migrants are in the 36-45 years age group Preferred destination for out-migration is the peri-urban areas of Kolkata city, while in- migration occurs mostly from within the island (intra), or nearby islands (inter) and trans- border too!! Male & Female Migration Both the male and female migrants are seasonal Number of Male migrants are much higher than the number of Female migrants Male migrants are mostly engaged as daily labour or mason in the construction industry, if not as a delivery person or security guard Female migrants are engaged as maid servants, cooks or medical care givers, if not engaged in the hosiery or bag industry Both the male and female migrants are highest from the 2535 age group followed by the 36-45 years Observed a sharp contrast in remittances being sent by male and female migrants, while males are remitting at least 1.5 times than females Male migrants have a common preference of migrating to the peri-urban areas of Kolkata or absolutely out of the State; people who migrated other states are sending higher remittance amount; Chennai (Tamil Nadu) is the most preferred destination followed by Bengaluru (Karnataka) Female migrants commonly have been found to prefer jobs based in Kolkata city with less interest to migrate out of the state Influence of ‘Aila’ cyclonic shock in May 2009 Permanent out-migration and permanent in- migration are not really influenced by Aila The trend of observed migration among males and females shows a rise in the post-Aila scenario. Climate and Productivity Data Source: District Census Handbook and IMD This work was carried out under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA), with financial support from the UK Government’s Department for International Development (DFiD) and the International Development Research Centre (IDRC), Canada. The views expressed in this work are those of the creators and do no necessarily represent those of DFiD and IDRC or its Board of Governors. 0 100 200 300 400 500 600 700 800 15 - 24 25 - 35 36 - 45 46 - 55 56 - 65 66 - 75 249 771 387 166 64 7 60 167 117 32 10 0 Male and Female Migrants Age - Group Male Migrants Female Migrants 0 20 40 60 80 100 120 140 160 15 - 24 25 - 35 36 - 45 46 - 55 56 - 65 66 - 75 76 - 85 8 73 98 110 73 40 8 13 83 143 132 86 25 4 Out-Migrants In-Migrants Age Group Clustering of Permanent Out-Migrants and In-Migrants INR per Month 128 279 8 1 44 7 48 1 3 1 146 41 487 176 93 56 17 33 4 6 7 5 1 2 4 3 2 127 41 0 0 2 0 3 0 1 0 33 3 72 36 0 0 0 2 0 1 2 0 0 0 0 0 0 0 100 200 300 400 500 600 Male Female Male and Female Migrants – Preferred Destination Ransacked after Aila Embankment failure during Aila

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Page 1: Tuhin Ghosh and *Shruti Thakur · Tuhin Ghosh and *Shruti Thakur DECCMA-India and *PhD Researcher School of Oceanographic Studies, Jadavpur University, Kolkata 700032, India Background

Migration Scenario of Satjalia Island in the Indian Bengal Delta Tuhin Ghosh and *Shruti Thakur

DECCMA-India and *PhD Researcher

School of Oceanographic Studies,

Jadavpur University, Kolkata 700032, India

Background of the Study Area Household Survey

Participatory

household survey

of 3037 households;

considered 2894

data for in-depth

analysis

Climate Change Issues and Impacts

Results and Observations

Contact: [email protected] DECCMA-India School of Oceanographic Studies, Jadavpur University, India

Change in temperature and rainfall pattern, in terms of time, duration and

amount

Local rate of SLR much above the global average

Acute river bank erosion

Frequent embankment breaching

Increasing soil salinity

Salt water inundation on the agriculture field

Loss in productivity and production

Increasing investment in agriculture

Lack of alternate skill and job opportunity

High exposure to natural hazards like cyclone and storm surge

Absence of defined adaptation policy and DRR

Satjalia Island (2207′40”N, 88052′06′′E) Situated within the high rank hotspot

Block Gosaba, with 2 GPs and 7 mouzas

Areal coverage 51.66 km²

Population: 206844 persons (Census,

2011) with a density of 778 persons/km

Household numbers: 9883

Natural resource based livelihood

Flood Situation Embankment Breaching

0

1

2

3

4

5

6

7

Cyclone 1901-2000

15.00

20.00

25.00

30.00

35.00

Year

19

01

Year

19

05

Year

19

09

Year

19

13

Year

19

17

Year

19

21

Year

19

25

Year

19

29

Year

19

33

Year

19

37

Year

19

41

Year

19

45

Year

19

49

Year

19

53

Year

19

57

Year

19

61

Year

19

65

Year

19

69

Year

19

73

Year

19

77

Year

19

81

Year

19

85

Year

19

89

Year

19

93

Year

19

97

Tem

pe

ratu

re in

°C

Max Min AverageSurface Temperature 1901-2000

0

500

1000

1500

2000

2500

3000

year

19

01

year

19

04

year

19

07

year

19

10

year

19

13

year

19

16

year

19

19

year

19

22

year

19

25

year

19

28

year

19

31

year

19

34

year

19

37

year

19

40

year

19

43

year

19

46

year

19

49

year

19

52

year

19

55

year

19

58

year

19

61

year

19

64

year

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67

year

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year

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73

year

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76

year

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79

year

19

82

year

19

85

year

19

88

year

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91

year

19

94

year

19

97

year

20

00

Rai

nfa

ll in

mm

Rainfall 1901-2000

IBD

400

500

600

700

800

2000-01 2001-02 2002-03 2003-04 2004-05 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12

Pad

dy

pro

d.

In ‘0

00

to

nn

es

Paddy Productivity (2000-2012)

7 0 0 21 14 6 0

302

228 185

314

76

252 210

0

50

100

150

200

250

300

350

Before Aila Migration After Aila Migration

Male Migrants of Before and After Aila (Mouza wise)

0 0 0 1 3 0 0

126

34 30

86

43 24

40

0

50

100

150

Before Aila Migration After Aila Migration

Female Migrants of Before and After Aila (Mouza wise)

48

85

43 29

55

19 21 17 15 11

28

4

26

9

0

25

50

75

100 Permanent Migrants (Mouza wise)

Before AilaMigration

After AilaMigration

144

54 37

87

31 26 25 15

6 4 24

0 0

25

0

25

50

75

100

125

150

175In – Migrants (Mouza wise)

Before Aila Migration After Aila Migration

309

228

185

335

90

258

210

125

34 30

87

43 24

40

0

50

100

150

200

250

300

350

400

Male and Female Migrants (Mouza wise)

Male Migration Female Migration

5818 5500

5203

6213 5888

6351

7247

3770 3779 4450

3642

2359

5200 5403

0

1000

2000

3000

4000

5000

6000

7000

8000

MaleRemittance

FemaleRemittance

Migrated Male and Female Average Remittance (Mouza wise)

65

100

54 57 59

45

30

167

60

41

111

31 26

50

0

20

40

60

80

100

120

140

160

180

Out-Migrants

In-Migrants

Permanent Out-Migrants Vs In-Migrants (Mouza wise)

Permanent Migrants

410

Seasonal Male

Migrants 1615

Seasonal Female

Migrants 383

Permanent In-Migrants

486

Satjalia Island

Conclusions

0

5000

10000

6031

4086

Comparison between Male and Female Remittance

Out-Migration & In-Migration

Observed both the permanent out-migration

and in-migration

Satjalia mouza is comparatively a safer

location with lesser out-migration and higher

in-migration

Dayapur mouza is the worst with high out-

migration and lesser in-migration

Lahiripur mouza has the forest in its affinity

and attracts resource dependent population

The out-migrants are concentrated in the 46-

55 years age group while the in-migrants are

in the 36-45 years age group

Preferred destination for out-migration is the

peri-urban areas of Kolkata city, while in-

migration occurs mostly from within the island

(intra), or nearby islands (inter) and trans-

border too!!

Male & Female Migration

Both the male and female migrants are

seasonal

Number of Male migrants are much higher

than the number of Female migrants

Male migrants are mostly engaged as daily

labour or mason in the construction industry, if

not as a delivery person or security guard

Female migrants are engaged as maid

servants, cooks or medical care givers, if not

engaged in the hosiery or bag industry

Both the male and female migrants are

highest from the 25–35 age group followed by

the 36-45 years

Observed a sharp contrast in remittances

being sent by male and female migrants,

while males are remitting at least 1.5 times

than females

Male migrants have a common preference of

migrating to the peri-urban areas of Kolkata or

absolutely out of the State; people who

migrated other states are sending higher

remittance amount; Chennai (Tamil Nadu) is

the most preferred destination followed by

Bengaluru (Karnataka)

Female migrants commonly have been found

to prefer jobs based in Kolkata city with less

interest to migrate out of the state

Influence of ‘Aila’ cyclonic shock in May 2009

Permanent out-migration and permanent in-

migration are not really influenced by Aila

The trend of observed migration among males

and females shows a rise in the post-Aila

scenario. Climate and Productivity Data Source: District Census

Handbook and IMD

This work was carried out under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA), with financial support from the UK Government’s Department for International Development (DFiD) and the International Development Research Centre (IDRC), Canada. The views expressed in this work are those of the creators and do no necessarily represent those of DFiD and IDRC or its Board of Governors.

0

100

200

300

400

500

600

700

800

15

- 2

4

25

- 3

5

36

- 4

5

46

- 5

5

56

- 6

5

66

- 7

5

249

771

387

166

64 7

60

167 117

32 10 0

Male and Female Migrants Age - Group

Male Migrants

Female Migrants

0

20

40

60

80

100

120

140

160

15

- 2

4

25

- 3

5

36

- 4

5

46

- 5

5

56

- 6

5

66

- 7

5

76

- 8

5

8

73

98

110

73

40

8 13

83

143

132

86

25

4

Out-Migrants

In-Migrants

Age Group Clustering of Permanent Out-Migrants and In-Migrants

INR per Month

128

279

8 1 44

7

48

1 3 1

146

41

487

176

93 56

17 33

4 6 7 5 1 2 4 3 2

127

41

0 0 2 0 3 0 1 0 33

3

72 36

0 0 0 2 0 1 2 0 0 0 0 0 0 0

100

200

300

400

500

600

Male

Female

Male and Female Migrants – Preferred Destination

Ransacked after Aila Embankment failure during Aila