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49
1 Bauxite Mining in Koraput Region of Odisha: A Socio-Economic and Livelihood Analysis Prof. M. Gopinath Reddy Dr. Prajna Mishra Ch. Nagaraju (RULNR-CESS, Hyderabad) & S.V. Ramana Programme Coordinator MSSRF, Koraput, Odisha

description

This is a PPT on Bauxite Mining by NALCo at Damanjodi in Koraput district

Transcript of Revised on (7th june 12) ppt for workshop

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Bauxite Mining in Koraput Region of Odisha: A Socio-Economic and

Livelihood Analysis

Prof. M. Gopinath ReddyDr. Prajna Mishra

Ch. Nagaraju(RULNR-CESS, Hyderabad)

&S.V. Ramana

Programme CoordinatorMSSRF, Koraput, Odisha

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The state of Odisha and Andhra Pradesh has the largest amount of bauxite reserves in the country. The bauxite deposits of Odisha are broadly described under the Southern, Central and Northern

groups.

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INTRODUCTION

Bauxite Deposits of Odisha

Group Estimated Reserves (Million Tonnes)

Mine Area (Hectares)

Southern GroupBallada 12.41 86Maliparbat 9.80 109Pottangi 69.03 265Total Southern 91.24 460Central Group Panchpatmali 316.98 1445Kodingamali 91.4 533Karnapadikonda 17.2 193Total Central 425.58 2171Northern Group Baphlimali 195.73 960Sijimali 86 1300Karlapat 59 973Lanjigarh 53 564Total Northern 393.73 3797Total Odisha 910.55 6428Source: Geological Survey of India (1979)

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Research Gap

There is little analytical research that focuses on the microeconomic or regional effects of mining.

This study is primarily concerned with whether or not bauxite mining operations can produce net sustainable benefits to local communities, and, if so, whether there are policies or processes that can increase positive and reduce negative impact.

In order to determine the net benefits, it is necessary to analyse all relevant impacts – economic, social, cultural, health and environmental.

The project has evaluated to see whether livelihood status has deteriorated, improved or remain same with the project.

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Research Questions and Objectives

The main research questions addressed in this study are:

a)How does mining influence the livelihoods of the local people? What exactly are the benefits/costs of the mining projects?

b)How can benefit and indeed potential negative outcomes be assessed?

The objectives of the study are:

•To assess the socio-economic and environmental impacts and challenges of bauxite mining. i.e. Its possible impact on financial capital (household income), physical capital (land, house, livestock and other physical assets), human capital (health, literacy), social capital (displacement, social network) and natural capital (water, air, noise).

•To specially look at the role of NALCO in restoring livelihood status of the project affected population by providing various facilities.

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Methodology, Study Area and Sample Selection

There are 12 villages from three blocks surrounded by the refinery and nearly 40 villages from four Gram Panchayat surrounded by the mines.

The criteria for selection of villages are: a) larger tribal population, b) affected by pollution, c) crop loss, and d) health hazards etc.

There are five-six villages under each area and views of the people representatives were also considered for village selection.

The Village Analabadi is selected purposively as people of 13 displaced villages are resettled here.

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Sample VillagesArea Zone Villages Total

HouseholdsSample

Households

Mining Area Core Zone Kapsiput 142 38

Buffer Zone Kardiguda 79 21

Control Villages Putraghati 201 53

Refinery Area Core Zone AnalabadiAmbogam

607133

175 36

Buffer Zone Mujanga 259 67

Control Villages Marichamal 77 21

Ash and Red Mud ponds

Core Zone GoudagudaKhoragudaChampapodar

73 34 84

24 8 10

Buffer Zone Charangaguda 72 23

Control Villages Kadamguda 34 15

Total 1795 4916Source: Field Survey (2011)

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 Project Affected People: Basic Features

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Displacement Scenario of NALCO

Affected Villages 26

Affected Families Tribal 254 (42.55)

Dalit 56 (9.38)

Others 287 (48.07)

Total 597 (100)

Land acquired

(acres)

Mines 427.30 (4.25)

Township 2,638.96 (26.24)

Plant 6,992.50 (69.52)

Total 10,058.76 (100)

Govt. Land 2,805.49

Agri. Land 2,834.56 Source: Field Survey (2011)

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Compensation Scenario of NALCO

We covered 10 displaced hamlets, 12 revenue villages in seven panchayats of Koraput district. Initially we interviewed all household heads (1483) of these hamlets of the selected villages. the socio-economic details are given below: In the mining core zone, Kapsiput is our sample village. It has 142 households out of which 141 households belong to the scheduled tribe category. In the mining buffer zone Khardiguda and Putraghati are two sample villages. Khardiguda has 79 households and all belong to the scheduled tribe. Putraghati has 201 households with mixed population.

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Families Displaced 597

Families Rehabilitated 441

Job Received 352

Compensation per one

acre of land (Rs)

2000

Compensation for Tree 100

Compensation for CPR NoSource: Field Survey (2011)

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Demographic Features of Affected Villages

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Study Zone Village Panchayat BlockHouseholds Category

SC ST OBC OC Total

Mining Core Kapsiput Bhifaarguda Lakhimpur 1 141 0 0 142

Mining Buffer

Khardiguda Littiguda Koraput 0 79 0 0 79

Putraghati 26 95 79 1 201

Refinery Core

Analabadi Matalput Koraput 68 267 144 128 607

Ambogam Littiguda 2 131 0 0 133

Refinery Buffer

Mujanga Mujanga Dasamanthapur 143 93 0 23 259

Marchimal Matalput Koraput 21 0 15 41 77

ARMP Core Zone

Goudaguda Charangul Semiliguda 0 0 0 73 73

Kharaguda Podampur Koraput 4 2 14 13 33

Champapodar

Mujanga Dasamanthapur 11 1 9 64 85

ARMP Buffer Zone

Charangaguda

Podampur Koraput 30 42 0 0 72

Source: Field Survey (2011)

• In Refinery core zone, Analabadi has 607 households. This is a rehabilitation colony consisting of eleven displaced hamlets of the refinery. It also has a mixed population.

• Second village Ambogam in the refinery core zone consists of 133 households, mostly tribal. This village is almost located in the refinery premises (1.2 km).

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These villagers are the victim of all immediate environmental impact. In Refinery buffer zone, village Mujanga has 259 households, dominated by scheduled caste and scheduled tribe population. Marchimal is another village in this area with 77 households with a mixed population but no tribal.

In the Ash and Red mud Pond (ARMP) core zone, Goudaguda is a village with 73 households. All the households belong to Gouda caste, whose main occupation is taken as livestock rearing. Both Kharaguda and Champapodar in this area are displaced villages.

Now they are resettled in one place but they are different villages. Kharaguda has 33 households with a mixed population and Champapadar has 85 households, dominated by other caste.

In the ARMP buffer zone Charangaguda is a village with 72 households, dominated by scheduled caste and scheduled tribe population. Most of them have lost land because of the railway track of NALCO.

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Displacement and Compensation Scenario

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Study Zone Total

HHs

Affected

HHs

Assets lost Compensation Received

Land House Land House

Mining Core 142 72 (50.70) 72 0 0 NA

Mining Buffer 280 138 (49.29) 138 0 136 NA

Refinery Core 740 383 (51.76) 141 361 129 344

Refinery Buffer 336 34 (10.12) 34 0 28 NA

ARMP Core 191 128 (67.02) 86 103 85 103

ARMP Buffer 72 38(52.78) 38 0 36 NASource: Field Survey (2011)

In the mining core zone, 51 percent of households have lost their agricultural land. For this none of the households have received compensation

These villagers were practicing podu on top of the hills and hill slopes. After getting the permission to mine that area, NALCO evicted these villagers from cultivating those patches of land.

As these displaced households do not have patta for their agricultural lands hence they have not received any compensation.

In the mining buffer zone 49 percent of households have lost their agricultural land.

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These villagers have lost land because of the rehabilitation colony, conveyor belt and another road which connects the mining to the refinery site.

Here almost all the households have received compensation and only 2 households have not received because of unclear document. The compensation package is Rs 1000 to 1500 per acre for dry land and Rs 2500 to 5000 per acre for wet land.

In the Refinery core zone 52 percent of the households are affected by the refinery out of the total (383) affected households. Of which 37 percent (141 households) have lost their agricultural land. Out of the total households (383), 129 households have received compensation and for others it is still pending.

On the other hand 94 percent of the total affected households (361 households) have lost their home and homestead area, of which 344 households have received compensation (Rs. 500 to Rs. 5000 according to classification like hut, semi-pucca, pucca etc).

These households are also settled in the rehabilitation colony and one job (per house) in NALCO.

In the Refinery buffer zone only 10 percent (34) of the total households are affected. They have lost their agricultural land for red mud pond.

Out of 34 households, 28 households have received compensation and for others it is pending.

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In the ARMP core zone out of total 191 households, 67 percent (128) of the households are affected.

All households have received compensation except one. In this area 80 percent of the households have lost their home and homestead area

In the ARMP buffer zone out of the total 72 households 53 percent (38) of the households are affected (agriculture land). Of which 36 households are compensated.

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Household Main Occupation: Pre and Post Displacement

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Main Occupation

Mining Core Zone Mining Buffer ZonePre Post Pre Post

Farmers 118 (100) 75 (63.6) 193 (81.8) 78 (33.1)Wage Labours 0 43 (18.2)

Others 0 9 (3.8)NALCO

Contract/Wage Employee

NA43 (36.4) 149 (63.1)

Total 118 (100) 118 (100) 236 (100) 236 (100)

Source: Field Survey (2011)

In the mining core zone, all households main occupation was farming in the pre displacement period.

However, in the post displacement period 36 percent are engaged in NALCO as contract or wage employee. They are not permanent employee of NALCO.

NALCO has given the contract works to contractors. These contractors will recruit the contract and wage labour. They do not have job security and they received weekly payment.

The work category has been divided into four categories are; High Skilled Works, Skilled Works, Semi Skilled Works and Un-skilled Works.

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According to work category the wage rates are: High Skilled Worker - Rs. 330 per day, Skilled Worker - Rs. 280 per day, Semi Skilled Worker - Rs. 220 per day, Un-skilled Worker - Rs. 190 per day.

In the mining buffer zone, farmers dominated the main occupation (82 percent) in the pre displacement period followed by wage labourers.

In the mining buffer zone, farmers dominated the main occupation (82 percent) in the pre displacement period followed by wage labourers.

However, this percent has reduced in the post displacement period and now NALCO contract and wage labourers are the main category.

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Household Main Occupation: Pre and Post Displacement

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Main Occupation

Refinery Core Zone Refinery Buffer ZonePre Post Pre Post

Farmers 665 (94.5) 71 (10.1) 165 (54.8) 100 (33.2)Wage Labours 27 (3.8) 207 (29.4) 132 (43.9) 172 (57.1)Others 12 (1.7) 33 (4.7) 4 (1.3) 19 (6.3)NALCO Contract/Wage Employee

NA98 (13.8) NA 10 (3.3)

NALCO Employee

NA 295 (41.9) NA

Total 704 (100) 704 (100) 301 (100) 301 (100)

In the Refinery core zone farmers dominated the main occupation in the pre displacement period (94.5 percent).

However, in the post displacement period majority are NALCO permanent employees.

As many households have lost their homestead area in this zone, they have received this job in their compensation package. This is followed by wage labourers and NALCO contract employee.

In the refinery buffer zone, in the pre displacement period both farming and wage labour has a major role. However, in the post displacement phase wage labour has outweighed farming.

As the extent of displacement is very less here so workers employed in NALCO.

Source: Field Survey (2011)

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In the Refinery core zone farmers dominated the main occupation in the pre displacement period (94.5 percent).

However, in the post displacement period majority are NALCO permanent employees. As many households have lost their homestead area in this zone, they have received jobs in their compensation package. This is followed by wage labourers and NALCO contract employee.

In the refinery buffer zone, in the pre displacement period both farming and wage labour has a major role.

However, in the post displacement phase wage labour has outweighed farming.

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Household Main Occupation: Pre and Post Displacement

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Main Occupation

ARMP Core Zone ARMP Buffer ZonePre Post Pre Post

Farmers 164 (85.9) 16 (8.4) 38 (52.8) 1 (1.4)Wage Labours 22 (11.5) 90 (47.1) 34 (47.2) 65 (90.3)Others 5 (2.6) 7 (3.7) 0 3 (4.2)NALCO Contract/Wage Employee

NA9 (4.7) NA 3(4.2)

NALCO Employee

NA 69 (36.1) NA

Total 191 (100) 191 (100) 72 (100) 72 (100)

Source: Field Survey (2011)

In the ARMP core zone also situation is same in the pre displacement period. The main occupation is dominated by farming.

However, in the post scenario it is wage labour and NALCO employee. Here also as the households have lost their homestead land they have permanent employment in NALCO.

In the ARMP buffer zone, main occupation was dominated by farmers and wage labourers. However, in the post displacement period it is dominated by wage labour.

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Profile of the Sample Villages (12) and its Important Characteristics

The caste and sub-caste particulars of the sample households have been presented.

A large majority of the households belong to Scheduled Tribes (49 percent) followed by ‘others’ (19.2 percent), Scheduled Castes (17.2 percent), and ‘Other Backward Castes’ (14.6 percent).

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Landholding details of the Households in Sample Villages

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Category of Occupations

Mining Area Refinery Area ARMPCore Buffer Core Buffer Core Buffer

Kapsiput Kardiguda Putraghati Analabadi Ambogam Mujanga Marichamal Goudaguda Khoraguda ChampapodarCharangagu

da

Large Farmers % 30 (21.1) 0 (0.0) 3 (1.5) 10 (1.6) 5 (3.8) 20 (7.7) 0 (0.0) 5 (6.8) 0 (0.0) 0 (0.0) 7 (9.7)

Medium % 15 (10.6) 16 (20.3) 15 (7.5) 20 (3.3) 20 (15) 50 (19.3) 10 (13) 5 (6.8) 0 (0.0) 2 (2.4) 0 (0.0)

Small Farmers % 35 (24.6) 15 (19) 25 (12.4) 20 (3.3) 16 (12) 60 (23.2) 12 (15.6) 34 (46.6) 0 (0.0) 0 (0.0) 8 (11.1)

Marginal % 30 (21.1) 15 (19) 70 (34.8) 20 (3.3) 70 (52.6) 84 (32.4) 34 (44.2) 20 (27.4) 3 (9.1) 0 (0.0) 5 (6.9)

Landless % 30 (21.1) 33 (41.8) 58 (28.9) 231 (38.1) 20 (15) 35 (13.5) 15 (19.5) 4 (5.5) 0 (0.0) 31(36.5) 47 (65.3)

other Salaried % 2 (1.4) 0 (0.0) 30 (14.9) 306 (50.4) 2 (1.5) 10 (3.9) 6 (7.8) 5 (6.8) 30 (90.9) 52 (61.2) 5 (6.9)

Total HHs 142 (100) 79 (100) 201 (100) 607 (100) 133 (100) 259 (100) 77 (100) 73 (100) 33 (100) 85 (100) 72 (100)

The data on land holding of the households reveal that in mining area-both in core and buffer zones, small and marginal farmers are in majority (40-45 percent) followed by landless labour (around 30 percent).

In kasiput village large farmers are significant (21 percent). Similarly in Kardiguda medium farmers are considerable (20 percent). In the refinery areas the land holding profile is quite different, particularly in core zone (50.4 percent are others/salaried 38 percent are landlers in Analabadi village).

This is due to large number of project affected households got employment in the company. However, in the buffer zone of the refinery small and marginal farmers are predominant followed by landless labour.

In the ARMP core zone, there are hardly any medium, small farmers; large segment of them are others/salaried (91 percent in Khoraguda and 61 percent in Champapodar) followed by landless labour.

Source: Field Survey (2011)

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Availability of Infrastructural Facilities in the Sample Villages

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Area Zone VillageElectri

city Avail

Provided by whom

Roads Avail

Provided by

whom

Education

Avail

Provided by whom

Health avail

Provided by whom

Drinking

water Avail

provided by whom

Irrigation

Avail

provided by whom

Community avail

provided by whom

Mining

Core Kapsiput Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No -

BufferKardiguda Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No -

Putraghati Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes NALCO

Refinery

Core

Analabadi YesNALCO

& GOVT

Yes NALCO YesNALCO

& GOVT

YesNALCO

& GOVT

Yes NALCO Yes GOVT Yes NALCO

Ambogam No - YesNALCO

& GOVT

Yes GOVT YesNALCO

& GOVT

Yes GOVT Yes GOVT Yes NALCO

BufferMujanga Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No -

Marichamal Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT

Ash & Red Mud Pond

Core

Goudaguda No - Yes GOVT Yes

NALCO &

GOVTYes

NALCO &

GOVTYes

NALCO &

GOVTYes GOVT No -

Khoraguda YesNALCO

& GOVT

Yes NALCO YesNALCO

& GOVT

Yes NALCO Yes NALCO No - No -

Champapodar Yes

NALCO &

GOVTYes NALCO Yes

NALCO &

GOVTYes NALCO Yes NALCO No - No -

Buffer Charangaguda No - No - Yes GOVT Yes GOVT Yes GOVT Yes GOVT No -

Control Area Kadamguda Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No -

Source: Field Survey (2011)

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Educational Facilities in the Sample Villages

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Area Zone Village

Primary School

Upper Primary school Higher secondary School Girijan Vidya Vikaskendra Tribal Ashram schools

Avail Distance

Place Avail Distance Place Avail Distance Place Avail Distance Place Avail Distance Place

Mining

Core Kapsiput Yes 0 0 No 13 Purhoda No 13 Purhoda No 3 Bitharaguda No 13 Purhoda

BufferKardiguda Yes 0 0 No 7 Mathalp

ut No 7 Mathalput No 34 Koraput No 3 Putraghat

i

Putraghati Yes 0 0 Yes 0 0 No 5 Damanjodi No 32 Koraput Yes 0 0

Refinery

CoreAnalabadi Yes 0 0 Yes 0 0 Yes 0 0 No 25 Koraput Yes 0 0

Ambogam Yes 0 0 Yes 0 0 No 3 Mathalput No 28 Koraput No 10 Pudaguda

BufferMujanga Yes 0 0 No 5 Runjagu

da No 8 Pudaguda No 5 Runjagu

da No 6 Bukduguda

Marichamal Yes 0 0 Yes 0 0 No 4 Mathalput No 10 Semiligu

da No 4 Mathalut

Ash & Red Mud Ponds

Core

Goudaguda Yes 0 0 Yes 0 0 No 4 Mathalput No 10 Semiligu

da No 4 Mathalut

Khoraguda Yes 0 0 Yes 0 0 No 5 Damanjodi No 22 Koraput No 7 Sunnabed

aChampapo

dar Yes 0 0 Yes 0 0 No 5 Damanjodi No 22 Koraput No 7 Sunnabed

a

Buffer Charangaguda Yes 0 0 No 5 Sunnabe

da No 5 Sunnabeda No 18 Koraput No 5 Sunnabed

a

Control Area Kadamguda Yes 0 0 No 5 Dolaiguda No 5 Dolaigud

a No 25 Koraput No 12 Sunnabeda

Primary schools exist in all the villages; upper primary schools are available in seven villages, higher secondary schools exist only in one village, while ‘Girijan Vidya Vikas Kendra’ (run by ITDAs) do not exist in any of the villages, people have to go to either Koraput or Semiliguda to avail this facility.

Source: Field Survey (2011)

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Further, although hospital (territory level) does not exist in any of the sample villages, Primary Health Centre (PHC) did exist only in one village (Analabadi); two sample villages have health sub-centres and no Veterinary Hospitals available in any of the villages.

The situation regarding other infrastructure such as metallic road, ‘all weather roads’ is better in sample villages. Further, half of the sample villages have ICDS centers and strikingly only two villages have Fair Price Shops/PDS outlets.

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Health Facilities in Sample Villages

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Area Zone Village Hospital PHC

Primary Health sub centre

Veterinary Hospital

Avail

Distance

Place Ava

il Distan

ce Place

Avail

Distance

Place Ava

il Distan

ce Place

Mining Area

Core Kapsiput No 3 Bitharag

uda No 3

Bitharaguda

No 3 Bitharag

uda No 7

Kakirigumma

Buffer

Kardiguda No 7 Damanjo

di No 7

Mathalput

No 7 Mathalpu

t No 7

Mathalput

Putraghati No 5 Damanjo

di No 5 Littiguda No 5

Mathalput

No 5 Mathalput

Refinery

Area

Core Analabadi Yes 0 0 Yes 0 0 Yes 0 0 Yes 0

0

Ambogam No 3 Mathalpu

t No 3

Mathalput

No 3 Mathalpu

t No 3

Mathalput

Buffer

Mujanga No 8 Pudagud

a No 8

Pudaguda

No 8 Pudagud

a No 8

Pudaguda

Marichamal

No 4 Damanjo

di No 4

Mathalput

No 4 Mathalpu

t No 4

Mathalput

Ash & Red Mud

Ponds

Core

Goudaguda No 4 Damanjo

di No 4

Mathalput

No 4 Mathalpu

t No 4

Mathalput

Khoraguda Yes 5 Damanjo

di No 5

Mathalput

No 5 Mathalpu

t No 5

Mathalput

Champapodar

Yes 5 Damanjo

di No 5

Mathalput

No 5 Mathalpu

t No 5

Mathalput

Buffer

Charangaguda

No 5 Sunnabe

da No 5

Sunnabeda

No 5 Sunnabe

da No 10

Dumbriput

Control Area

Kadamguda

No 12 Sunnabe

da No 15 Kudali No 15 Kudali No 15

Kudali

Source: Field Survey (2011)

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Area Zone Village

Metalled Road All Weather road Bus stop Post office PHC Sub center ICDS PDS/Fair price

Avail Distance Place Avail Dista

nce Place Avail Distance Place Avail Distanc

e Place Avail Distance Place Avail Distanc

e Place Avail Distance Place

Mining

Core Kapsiput Yes 0 0 Yes 0 0 No 3 Junction No 3 Bithara

guda No 3 Bitharaguda Yes 0 0 No 3 Girliput

Buffer

Kardiguda Yes 0 0 Yes 0 0 No 2 Putraghati No 3 Littigud

a No 7 Mathalput Yes 0 0 No 2 Littigud

a

Putraghati Yes 0 0 Yes 0 0 No 1 Putraghati No 5 Littigud

a No 5 Mathalput Yes 0 0 No 5 Littigud

a

Refinery

Core

Analabadi Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0

Ambogam Yes 0 0 Yes 0 0 No 3 Mathalput No 5 Littigud

a No 3 Mathalput Yes 0 0 No 5 Littigud

a

Buffer

Mujanga Yes 0 0 Yes 0 0 No 7 Damanjodi Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0

Marichamal Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 No 4 Mathalput Yes 0 0 Yes 0 0

Ash & Red Mud Pond

Core

Goudaguda Yes 0 0 No 2 Benjidi No 4 Mathal

put No 3 Charangul No 4 Mathal

put No 0.5 Goudaguda II No 3 Charan

gul

Khoraguda Yes 0 0 Yes 0 0 No 5 Damanjodi No 5 Damanj

odi No 5 Mathalput No 5 Bodug

uda No 7 Ghattuguda

Champapodar Yes 0 0 Yes 0 0 No 5 Daman

jodi No 5 Damanjodi No 5 Mathal

put No 5 Boduguda No 7 Ghattu

guda

Buffer Charangaguda No 2 Choga

n No 2 Chogan No 5 Sunna

beda No 5 Sunnabeda No 5 Sunnab

eda Yes 0 0 No 4 Ghattuguda

Control Area Kadamguda Yes 0 0 Yes 0 0 No 2 Center No 6 Semiliguda No 6 Semilig

uda No 1 Ranikona No 1 Raniko

na

Other Infrastructure Facilities in the Sample Villages

Source: Field Survey (2011)

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CPRs constitute significant source for livelihood enhancement of the poor in the villages. Mostly their access is open to all the sections of the villages.

NALCO has acquired village common land in eight out of twelve sample villages.

Unfortunately no compensation was paid by NALCO to village communities and the reason offered is that these are forest lands and having no ‘pattas’.

Even in case of grazing land, the same scenario is observed. The loss of these important resources has huge bearing on the live stock holding capacity of the communities.

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Job Benefits Offered by NALCO

Area Zone Villagepermanent job opportunities in

NALCO If no, state reason

If yes how many hhs got

permanent employment

Nature of job type of job monthly income

Mining Area

Core Kapsiput NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

BufferKardiguda No

Nalco says that job were offered to those who have lost home and

homestead0 0 0 0

Putraghati No Still pending 0 0 0 0

Refinery Area

Core

Analabadi Yes 0 317

Messengers, Peons,

Operators, helpers etc

Semi-skilled & Un-skilled

30000 to 60000

Ambogam NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

Buffer

Mujanga NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

Marichamal NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

Ash & Red Mud Pond

Core

Goudaguda NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

Khoraguda Yes 0 20

Messengers, Peons,

Operators, helpers etc

Semi-skilled & Un-skilled

30000 to 60000

Champapodar Yes 0 52

Messengers, Peons,

Operators, helpers etc

Semi-skilled & Un-skilled

30000 to 60000

Buffer Charangaguda NoNalco says that job were offered to

those who have lost home and homestead

0 0 0 0

Control Area Kadamguda No Not affected area - Control village 0 0 0 0

27Source: Field Survey (2011)

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The data on job benefits offered to HHs by NALCO - except in three villages (one village namely Analabadi in the core zone of refinery and two villages namely Kharaguda and Champapodar in the core zone of Ash & Red Mud Ponds) no permanent jobs were offered by NALCO.

NALCO says that jobs were offered to only those villages whose lands and homesteads have been lost. In the process partially or indirectly affected villages were not benefitted by NALCO jobs even though they lost employment opportunities in their native villages.

The natures of jobs offered were also mostly unskilled like messengers, peons, helpers, operators etc. Since it is govt. employment, the monthly income (salaries) given to these job holders is substantial.

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Although NALCO did not offer large scale permanent employment, it is offering contract employment in all the villages.

However, the number of HHs getting contract employment is varying across the sample villages.

In Refinery Core Zone village, Analabadi as many as 220 HHs are getting contract employment, there few villages where very few households (as low as three, twelve and twenty HHs) are getting contract employment.

It may be due to the vicinity factor of these villages in relation to the Refinery location.

The wages offered is inform across all the villages and ranging between Rs.197-290 per day and their monthly income works out around Rs.5000/- to 6000/-.

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Housing Particulars of the Sample HHs (By Type)

Type of House

Mining Refinery ARMP

Core Zone Buffer zone Core Zone Buffer zone Core Zone Buffer zone

Thatched . 2 (2.7) 1 (0.5) 5 (5.7) 3 (7.5) 2 (2)

Semi Pucca 38 (100) 70 (94.6) 176 (83.4) 83 (94.3) 35 (87.5) 21 (84)

Pucca . 2 (2.7) 34 (16.1) . 2 (5) 2 (8)

Grand Total 38 (100) 74 (100) 211 (100) 88 (100) 40 (100) 25 (100)

30

• The data on the housing in the mining core zone - all the 38 HHs (100 percent) live in semi pucca houses whereas in buffer zone also, a majority of them (94.6 percent) have semi pucca houses.

• It is significant to know that very few HHs in the mining area have pucca houses. In the refinery area core zone, a large majority (83.4 percent) of the HHs live in semi-pucca houses and a small number of HHs (16.1 percent) do live in pucca houses, while in buffer zone a large majority of the HHs (94.3 percent) live in semi-pucca houses and a small number of HHs (5.7 percent) do live in thatched houses.

• In ARMP area also predominantly have semi-pucca houses. On the whole, it may be observed that in all project areas a large majority live in semi-pucca houses and very few HHs live either in pucca or in thatched houses

Source: Field Survey (2011)

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Economic Activities of the Individuals (Primary)

31

Occupations

Mining Refinery ARMP

Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone

Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total

Agriculture20

(21.3)37

(39.4)57

(60.6) 35 (20) 66 (37.7)101

(57.7) 56 (14.5) 86 (22.3)142

(36.9) 64 (28.6) 75 (33.5)139

(62.1) 23 (23.2) 35 (35.4)58

(58.6) 19 (30.2) 23 (36.5)42

(66.7)

Wage Labour1

(1.1)2

(2.1) 3 (3.2) 4 (2.3) 12 (6.9) 16 (9.1) 12 (3.1) 10 (2.6)22

(5.71) 7 (3.1)8

(3.6) 15 (6.7) 4 (4.0)5

(5.1) 9 (9.1) 5 (7.9) 4 (6.3) 9 (14.3)

NALCO Employ . . . . . . 100 (26.0)6

(1.6)106

(27.5) 1 (0.4)1

(0.4) 16 (16.2)16

(16.2)

NALCO Contract/Wage

Labour29

(30.9)4

(4.3)33

(35.1) 42 (24) 6 (3.4)48

(27.4) 72 (18.7) 14 (3.6)86

(22.3) 42 (18.8)17

(7.6)59

(26.3) 14 (14.1)1

(1.0)15

(15.2) 6 (9.5)1

(1.6) 7 (11.1)

Others1

(1.1) 1 (1.1) 7 (4) 3 (1.7) 10 (5.7) 24 (6.2)5

(1.3)29

(7.53) 8 (3.6)2

(0.9) 10 (4.5)1

(1.0) 1 (1.0) 4 (6.3)1

(1.6) 5 (7.9)

Total51

(54.3)43

(45.7)94

(100) 88 (50.3) 87 (49.7)175

(100) 264 (68.6) 121 (31.4)385

(100) 122 (54.5) 102 (45.5)224

(100) 57 (57.6) 42 (42.4)99

(100) 34 (54.0) 29 (46.0)63

(100)

• The various economic activities of the individuals of the sample households reveal that the members are engaged in diverse occupations in all the regions.

Source: Field Survey (2011)

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32

Mean Household Income of Villages

Area Zone Mean HHs Income (Rs) Mean Per capita Income (Rs.) Mean HHs size (No.)

Mining

Core Zone 55472.6 12114.7 4.6

Buffer Zone 57219.6 13484.9 4.2

Refinery

Core Zone 225875.2 44541.7 5.1

Buffer Zone 57874.7 12637.6 4.6

ARMP

Core Zone 117291 19630.3 6

Buffer Zone 58148 11182.3 5.2

Source: Field Survey (2011)

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33

Landholding details of the Sample Households in Sample Villages

Category of OccupationsMining Area Refinery Area ARMP

Core Buffer Core Buffer Core Buffer

Large Farmers 0 (0.0) 1 (1.4) 5 (2.4) 7 (8.0) 1 (2.5) 1 (4)

Medium Farmers 6 (15.8) 2 (2.7) 7 (3.3) 6 (6.8) 4 (10) 5 (20)

Small & Marginal Farmers 22 (57.9) 43 (58.1) 38 (18.0) 49 (55.7) 12 (30) 13 (52)

Farm & non-Farm Labour 10 (26.3) 28 (37.8) 60 (28.4) 25 (28.4) 7 (17.5) 6 (24)

Others (Salaried) 0 (0.0) 0 (0.0) 101 (47.9) 1 (1.1) 16 (40) 0 (0.0)

Total HHs 38 (100) 74 (100) 211 (100) 88 (100) 40 (100) 25 (100)

Source: Field Survey (2011)

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Household having Livestock in Bauxite Mining Area

34

LivestockMining Refinery ARMP

Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone

Yes 22 (57.9) 33 (44.6) 64 (30.3) 47 (53.4)

22 (55)

13 (52)

No 16 (42.1) 41 (55.4) 147 (69.7) 41 (46.6)

18 (45)

12 (48)

Total 38 (100) 74 (100) 211 (100) 88 (100) 40 (100)

25 (100)

• Possession of livestock gives incremental and additional incomes to the rural families, which is very common. Out of the total 476 households, 201 HHs possess livestock and the rest (275) do not have any livestock assets.

Source: Field Survey (2011)

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35

Details of Household Physical Assets

Particulars

Mining Refinery ARMP

Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone

% of HHs % of HHs % of HHs % of HHs % of HHs % of HHs

Cycle 23.7 55.4 66.8 55.7 52 80

Radio 2.6 4.1 7.6 9.1 10 16

Fan 0.00 13.5 66.4 18.2 37.5 0.00

Almirah 0.00 13.5 51.7 12.5 27.5 0.00

TV 0.00 24.3 63.5 18.2 37.5 0.00

Fridge 0.00 1.4 26.5 1.1 27.5 0.00

Scooter 5.3 17.6 47.9 10.2 47.5 0.00

Car 0.00 2.7 9 0.00 0.00 0.00

Watch 44.7 66.2 86.7 60.2 82.5 68

Agricultural Assets 71.1 68.9 23.2 78.4 52.5 64

• The data on the households having various physical assets such as Cycle, Radio, Television, Fan, Almariah, Fridge, Scooter, Car, Watch, agricultural assets etc., reveal that having agricultural assets in large number in most of the regions.

• It is very striking to note that only in refinery core zone a significant proportion have Television (63.5 percent), Fridges (26.5 percent) and Scooter (47.9 percent) and ARMP core zone (47.5 percent have Scooter, 7.5 percent have Television and 27.5 percent have fridges). This is again due to their permanent employment in the factory.

Source: Field Survey (2011)

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36

Households Source of Borrowing

SourcesMining Refinery ARMP

Core Buffer Core Buffer Core Buffer

Bank 2 (33.3) 12 (80) 57 (69.5) 18 (60) 14 (93.3) 6 (54.5)

Cooperative Society 1 (16.7) 0.00 4 (4.9) 2 (6.7) 0.00 0.00

SHG 2 (33.3) 2 (13.3) 6 (7.3) 7 (23.3) 0.00 5 (45.5)

Money Lender 1 (16.7) 1 (6.7) 15 (18.3) 3 (10) 1 (6.7) 0.00

Total 6 (100) 15 (100) 82 (100) 30 (100) 15 (100) 11 (100)

• A total number of 159 hhs are found borrowing loans from different sources out of total sample of 476 households in the project area.

• Sourcewise borrowing reveal that banks are the chief lenders to the sample hhs (33.3 percent in mining core area and 80.0 percent in buffer zone, 69.5 percent in refinery core zone and 60.0 percent in buffer zone; 93.3 percent in ARMP core zone and 54.5 percent in buffer zone) followed Self Help Groups (SHGs).

Source: Field Survey (2011)

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37

Household Health Status

Area Zone HHs Health Status

Excellent Good Fair Partial Grand Total

MiningCore Zone

. 32 (84.2) 5 (13.2)1

(2.6)38

(100)

Buffer Zone. 47 (63.5) 26 (35.1)

1(1.4)

74 (100)

RefineryCore Zone 1

(0.5) 140 (66.4) 61 (28.9) 9 (4.3)211

(100)

Buffer Zone. 53 (60.2) 34 (38.6)

1(1.1)

88 (100)

ARMPCore Zone

. 21 (52.5) 18 (45)1

(2.5)40

(100)

Buffer Zone. 10 (40) 15 (60) .

25 (100)

• A qualitative assessment was done in the project area and based on that assessment health status was ranked as ‘excellent’, ‘good’, ‘fair’, ‘partial’.

• A large majority of them have expressed their health status as ‘good’ (84.2 percent in mining core zone and 63.5 percent in buffer area; 66.4 percent in refinery core zone and 60.2 percent in buffer zone; 52.5 percent in ARMP core zone and 40.0 percent in buffer zone) followed by ‘fair’. Very less number of hhs have expressed their health status as ‘partial’.

Source: Field Survey (2011)

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38

Views on Existence of Plant/Mining and Its Influence

Area Zone Beneficial partially Helpful No Problems Partially Hazarding Grand Total

MiningCore . . 33

(86.8)5

(13.2) 38 (100)

Buffer . 7 (9.5)

61 (82.4)

6 (8.1) 74 (100)

RefineryCore 24

(11.4)56

(26.5)111

(52.6)20

(9.5) 211 (100)

Buffer 1 (1.1)

23 (26.1)

56 (63.6)

8 (9.1) 88 (100)

ARMPCore 3

(7.5)1

(2.5)15

(37.5)21

(52.5) 40 (100)

Buffer . 10 (40) 11 (44) 4

(16) 25 (100)

• The views of the sample households on the influence of the plant/mining in the project area shows that only small proportion mentioned that it is beneficial.

• A large majority of them expressed that there are no problems with the plant/mining.

• There are few households in the project area that mentioned about the influence of the project as ‘Partially Hazarding’.

Source: Field Survey (2011)

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39

Details of Household Total Income from Various Sources

Area Zone Agriculture NALCO SalariesNALCO

Wage/Contract Salaries

Wage Works Others Total Annual

Income

Monthly Income* The figures in brackets are

average monthly income of the

household

Total HHs

MiningCore Zone 395250 (18.5) 0 1568180

(73.5)73930 (3.5) 97200 (4.6) 2134560 (100) 177880 (4681) 38

Buffer Zone 646200 (15.1) 0 2708530 (63.2)

483780 (11.3)

446460 (10.4) 4284970 (100) 357080.8 (4825) 74

RefineryCore Zone 2318580

(5) 35750449 (77.4) 4996914 (10.8)

993470 (2.2)

2112740 (4.6) 46172153 (100) 3847679 (18235) 211

Buffer Zone 1485575 (23.6)

720000 (11.5)

2954160 (47)

755950 (12) 366210 (5.8) 6281895 (100) 523491.3 (5949) 88

ARMPCore Zone 389800

(8)3171300

(65)1059960

(21.7)184300

(3.8) 72275 (1.5) 4877635 (100) 406469.6 (10162) 40

Buffer Zone 386500 (26.4) 0 276000 (18.9)

405400 (27.7)

393520 (26.9) 1461420 (100) 121785 (5114) 25

• The incomes of the sample households from the various sources clearly show that NALCO salaries constitute chief source (incase of refinery core zone (77.4 percent) and ARMP core zone 65.0 percent).

• Followed by NALCO wage/contract salaries • The incomes from agriculture, wage works and others are not very significant.

Source: Field Survey (2011)

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40

Details of New House given by the NALCO

Area Zone

New House Received by respondents

If Yes, New House

Constructed by whom

Type of house If Not reason for not receiving new house

NA Yes No Total NALCO Tined Roof Not affected household

Family member

received housePending Not lost home

and homestead

MiningCore . . 38 (100) 38 (100) . . 20 (52.6) . . 18 (47.4)

Buffer . . 74 (100) 74 (100) . . 34 (45.9) . . 40 (54.1)

RefineryCore . 154 (73) 57 (27) 211 (100) 154 (100) 154 (100) 14 (24.6) 5 (8.8) 2 (3.5) 36 (63.2)

Buffer . . 88 (100) 88 (100) . . 45 (51.1) . . 43 (48.9)

Ash & Red Mud Pond

Core . 16 (40) 24 (60) 40 (100) 16 (100) 16 (100) 5 (20.8) . 1 (4.2) 18 (75)

Buffer . . 25 (100) 25 (100) . . 3 (12) . . 22 (88)

• The data on the houses allotted by NALCO to the sample households clearly show that only in refinery core zone (73.0 percent) and ARMP core zone (40.0 percent) significant portion of the households received new houses given by NALCO.

Source: Field Survey (2011)

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41

Households Expectations from NALCO

Area Zone

Expectation

NA Job to hereditary

Job offer for all Affected People

Access health card for all Job regularization

Expecting husband’s

job/Father's job

Local priority for all works Others Grand Total

MiningCore 0 (0.0) 0 (0.0) 5 (13.2) 8 (21.1) 25 (65.8) 0 (0.0) 0 (0.0) 0 (0.0) 38 (100)

Buffer 0 (0.0) 0 (0.0) 23 (31.1) 2 (2.7) 40 (54.1) 0 (0.0) 8 (10.8) 1 (1.4) 74 (100)

RefineryCore 0 (0.0) 94 (44.5) 47 (22.3) 2 (0.9) 11 (5.2) 23 (10.9) 16 (7.6) 18 (8.5) 211 (100)

Buffer 0 (0.0) 0 (0.0) 7 (8) 6 (6.8) 44 (50) 0 (0.0) 14 (15.9) 17 (19.3) 88 (100)

ARMPCore 0 (0.0) 10 (25) 11 (27.5) 0 (0.0) 11 (27.5) 0 (0.0) 4 (10) 4 (10) 40 (100)

Buffer 0 (0.0) 0 (0.0) 3 (12) 19 (76) 1 (4) 0 (0.0) 0 (0.0) 2 (8) 25 (100)

• The expectations of the affected households from the NALCO are in the nature of ‘Job regularisation’ to those who are on contract, followed by ‘Job offer for all affected people’.

• And ‘others’ that include adequate water facility, access to free education, new houses for R & R colony, free electricity, monitoring of drainage and cleanliness of the roads etc.

Source: Field Survey (2011)

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Conclusions and Way Forward

42

• The most vulnerable sections, viz., scheduled tribes and scheduled castes who have lost lands, houses and other assets could not able to get back their livelihood status as a result of cash compensation policy.

• The fact that land scarcity was not there in 80’s as is felt now, Nalco should have adopted land to land policy.

• As a result, the above sections were reduced from farmers to casual laborers in farm and non-farm sectors.

• In the year 1984 – 85, NALCO started Peripheral Development Programme.

• The area which is 10 Kms from Refinery and Mining considered as a Peripheral Area. Under this programme, NALCO has promised to provide all the facilities like health, education, roads, drinking water and infrastructure development (school building etc.)

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• The NALCO’s Employment policy is that once the displaced persons, who were provided with employment happened to die due to ill health, their spouses were not provided jobs even on humanitarian grounds, sounds faulty.

• Another issue of concern is that NALCO is getting water from the Kerandi River which is 8 km far away from the refinery.

• The pipeline is connected to carry water from the river. Due to laying of water pipeline some of the villages have lost their agriculture lands.

• It was told that during the pilot survey people made request to the NALCO to get water access for drinking from the pipeline but NALCO has simply denied.

• People are saying that there is huge water going wastage due to leakages. • Besides the problems enlisted above, there are certain environmental and

ecological problems observed in the field. • In Goudaguda village, there are two pipelines; one is Caustic Soda pipeline and

another one is Septic water pipeline which adjacent to this village, due to pipeline leakages the Caustic mud and septic water flows into agriculture fields hence the agriculture fields fertility is affected and the crop production has been decreased.

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• Transport is the major problem from refinery to refinery surrounding villages.

• Male employees, are using bicycle or motor cycle for their transport and women trek long distances by walk.

• It is very difficult because they have to walk 9 to 10 Kms on Kutcha road to reach refinery and time takes more than one hour.

• They are expecting NALCO to provide transport facility to reach refinery and on time.

• During Land Acquisition process NALCO has promised to give employment opportunity to all the affected persons in the household.

• But later NALCO has disagreed to provide employment opportunity to every affected person in the household.

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• The affected households became addicted to certain social evils such as liquor and drugs (particularly among youth)

• It was found that in Analabadi rehabilitation colony most of the employees are addicted to alcohol and tobacco chewing etc.

• On the whole, resettlement mechanism adopted by NALCO is not very satisfactory and more over it is found that NALCO did not have CSR initiative.

• NALCO has generally passed the money towards Resettlement and rehabilitation of PAFs to the Government of Odisha and under the leadership of the District Collector.

45

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Way forward • the NALCO has to rethink about affected people’s problems and do some of the

welfare activities for the people interms of livelihoods promotion, Health & Education, Skill Development Activities, Infrastructure facilities etc.

Livelihoods: • A comprehensive livelihood portfolio needs to be created for the project

affected population in all area interms of providing Income Generation Activities (IGAs) and developing skills among the local communities. NALCO needs to this in conjunction with various development departments of the district.

Health:• Nalco has promised to provide health service to the all affected people from the

NALCO surrounding villages. • NALCO has issued health cards to the affected people who got permanent

employment in the NALCO and in addition to two villages i.e., Ambogam and Goudaguda villages because these two villages are more affected villages by the refinery and ARMP. 46

Basic Amenities

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Education:

•NALCO is giving free education to the affected people who got employment in NALCO, rest are not accessing the free education. In this area, the literacy rate is very less especially in women literacy rate. •The reason for the above, the people do not have access better education.•Incase NALCO provides free education to the affected villages, there will be much more benefits to the girl child to get education. NALCO must think on this service.

Drinking Water:•In all affected villages, people do not have access to protected water. Mostly, they depend on stream water for the drinking and other household needs. •Due to contaminated water people are suffering health problems like water born disease etc. •If NALCO can take this initiative, many people from the surrounding villages are benefited and they can access protected drinking water facility.

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Skill Development Activities and Sustainable Livelihoods

• NALCO could not provide any skill development activities to the affected people. Most of the affected people main livelihood source is agriculture and NALCO contract/wage labour works.

• Awareness activities and also some training programs should be taken up by the NALCO with some development agency/ the Government to make these people to have alternative livelihoods for their future sustainable livelihoods.

• Skill development trainings would certainly help the women folk to opt for alternative livelihoods

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THANK YOU