The Sustainable Livelihoods Approach and the Capitals Framework Analysis at Household level: case study in coastal sandy zone in Thua Thien Hue

The Sustainable Livelihoods Approach and

the Capitals Framework Analysis at

Household level: case study in coastal

sandy zone in Thua Thien Hue

Dao Duy Minh, College of Economics - Hue University Philippe Lebailly, Faculty of Gembloux Agro-Bio Tech - University of Liège Nguyen Dang Hao, College of Economics - Hue University

1. Introduction

Sustainable Livelihoods Framework Analysis proposed by Robert Chambers at the midterm of 1980. After that this ideal has been continuously applied by various practitioners such as Ellis, 1998; Chambers and Conway, 1992; Carney, 1998; Barrett, 2006; DIFD (2001). Until now, relating to rural development and household, this framework has been widely applying in empirical research of many countries on the world.

This framework has been rarely applying to evaluate related issues of capitals/ assets during a period.

Related research site of application, Thua Thien Hue are currently standing at the

difficult province in economic development of Vietnam;

Over 70 % of households have been living in rural areas and mainly income sourced from agricultural activities including cultivating wet rice, raising small scale poultry and aquaculture (Tinh et al 2012, Hao. N.D 2009).

1. Introduction (Cont.)

In addition, Thua Thien Hue has been also facing with various problems of land issues: low land area per capital, low levels of soil fertility, land degradation which leads the low productivity in using land.

Thua Thien Hue also have been impacted heavily by climate change, especially in agricultural activities of households with unpredictable trends;

Labour source was still low level of skill gathering with lack of job which leads the difficulty in finding appropriate works;

Further more, although local government has been implementing various implications to improve livelihood for household, but households are still facing with some current drawbacks such as lacking of information, poorly infrastructure condition, low ability in accessing credit and market.

 Given aspects will also effect on the poverty reduction pathways for the households. Using Sustainable Livelihood Framework Analysis to carry out the change of 5 capital after 10 years from 2007_08 to 2017_18 will be significantly in proposing implications of the livelihood strategy as well as the foundation to build the adaptive capacity in adapting to climate change.

CONTENTS

1. Introduction

2. Research objectives

3. Framework analysis and research methods

4. Results and discussions

2. Research objectives

(i) To carry out the dynamic changes in the

capital of household during 10 year period;

(ii) To analyze the change in livelihood strategy/

farming system of household;

(iii) The results from study will be the bases for

proposing sustainable strategy for household as

well as building the adaptive capacity of

household to adapt to climate change.

3. Framework analysis and research method

3.1. Framework analysis

- More sustainable use NR base

- Saved non use value of NR

Livelihood assets - Level of government - Private sector - Laws Policies Culture Institution Structures Processes In o rd er t o ac hi ev e

Figure 1: Sustainable Livelihoods Framework Analysis

Source: DFID (2000) Natural Financial Social Physical Human

3.2. Methods

3.2.1. Data collection

- Secondary data:

- Primary data:

1. Historical profile:

2. Key informant interview:

3. In depth interview:

4. Focus Group Discussion:

5. Household survey:

Village 2007_08 2017_18 HHs % HHs % Duc Phu 20 14.5 17 15.5 Dong Cao 20 14.5 16 14.5 Thuy Lap 18 13.0 16 14.5 Nghia Lap 18 13.0 17 15.5 Xuan Thien Thuong 20 14.5 14 12.7 Vinh Luu 20 14.5 14 12.7 Phung Chanh 22 15.9 16 14.5

Total 136 100 110 100

Table 2 The related indicators of the study

No Dimension Indicator

1 Land Structure of each type of land use; Total land area/ household

2 Labour The allocation of labour by sector; the unemployment ratio of labour; Educational level; high

skill level labour; the number of trained labour; Average labour/ household; total immigration labour; % of household lacking of labor

3 Physical Infrastructure condition; road connection ability; the distance of house to the central of commune; Material investment: average of TV, car, motor…/ household

4 Financial Total owed saving, ratio of credit access

5 Social The participation of mass organization in the local, the relation of household with

3.2.2. Data processing:

After finishing of collect data by questionnaire, it will be cleaned and coded for the process of inputting data to the designed template by SPSS software. Author will use some basic tool such as frequency and descriptive to recheck outlier and missing value.

3.2.3. Data analysis

- Descriptive method

- Before and after method: compare the changes of those indicators (among periods (2007_08; 2017_18)

The change in labor resources

Table 2. The head of household by age groups in the 2007-08 – 2017-18 period

Age groups 2007_2008 2017_2018 Comparis on No of HHs % HH Mean No of HHs % HH Mean No of HHs <50 45 40.9 44.1 7 6.4 47.9 -38 50-60 48 43.6 53.9 46 41.8 56.1 -2 >60 17 15.5 66.9 57 51.8 68.3 40 Average/total 110 100 51.9 110 100.0 61.9 0

The change in labor resources

Table 3. The size of households in the 2007_08 – 2017_18 period

Group 2007_2008 2017_2018 Compariso n No of HHs % HH Mea n No of HHs % HH Mean No of HHs <3 9 8.2 2.4 36 32.7 2.7 27 4-5 38 34.5 4.8 46 41.8 4.5 8 6-7 45 40.9 6.4 22 20.0 6.2 -23 >7 18 16.4 9.2 6 5.5 8.2 -12 Average/tot al 110 100 5.9 110 100 4.4 0

The change in labor resources

No of HHs %

Increase of household member 12 11

Decrease of household member 69 63

Total 110 -

Table 4. The change of household member

Total of increasing member 21

Average of increasing member 0.2

Total of decreasing member 169

Average of decreasing member 1.5

Total member of moving inside province 42

Average member of moving inside province 0.4

Total member moving outside province 127

Average member of moving outside province 1.2

Table 5. The changes of household members by destination

Total member of moving inside prov-ince; 24.85%

Total member mov-ing outsite province; 75.15%

%

Figure 1 . Destinations of movoved members

The change in labor resources

Table 6. Distribution of households by age classes and gender, (% of surveyed households’ members)

Age groups

(Year)

2007_08 2017-18

Male Female Total Male Female Total

<12 6 8 15 2 3 3 12-18 10 9 19 6 29 17 18-55 30 25 55 36 63 50 >55 5 6 12 56 5 30 Total 52 48 100 49 51 100

The change in labor resources

The

change

in

land

use

status

Table 11. Land use average by scale between 2007_08 and 2017_18

Land scale 2007_2008 2017_2018 Comparison

No of HHs % HHs Mean (sao) No of HHs % HHs Mean No of HHs % HHs Mean <15 (sao)* 52 47.3 11.8 39 35.5 10.7 -13 -11.8 -1.0 15-20 (sao) 14 12.7 17.5 22 20.0 18.5 8 7.3 -3.0 >20 (sao) 44 40.0 32.7 49 44.5 40.3 5 4.5 -10.0 Average/total 110 100 22.2 110 100 23.5 0 0 0

30 43 27 Stable Decrease Increase

Figure 2. Land use changes of households among 2007_08-2017_18 period (%

households)

The change in land use status

- 2 4 6 8 10 12 14 16 18 20 6 20 6 3 1 Yes (% households) Figure 3. Reasons of increasing land use

The change in land use status

2007_08 2017_18 Comparison

Gini 0.45 0.31 -0.15

Table 12. Gini index comparison between 2007_08 and 2017_18

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Equality Lorenz Curve 2007_08 Lorenz Curve 2017_18

Figure 5. Land equality comparison between 2007_08 and 2017_18

The change in land use status

Type of changes % Hhs

Transforming/ expanding perennial trees 9

Transforming / changing crop season 27

Changing in raising aquaculture model (mono model into mixed model)

10

Stop raising aquaculture 3

Changing in raising cattle scale 50

Changing in raising poultry 36

Physical capital

By the improvement in living condition, households spent amount of money for buying more modern housing various types of valuable accesses;

At present, many households invested new updated modern machine that could help to reduce the time and save the cost in producing activities.

It was also replicated in infrastructure, the connecting road among each village, commune, district and also for city 100% of household could approach with safe water and electricity.

For sanitization issues, with the deeply consideration of different level of governments, various dams were built that solved the negative effect of this problem.

Table 14. Changes in accessibility to the basic infrastructure in the seven communes of the survey, over 2007_08-2017_18 period

2007_08 2017_18 M R DT MM E SW S MR DT MM E SW S Duc Phu + + ++ ++ +++ + + ++ ++ ++ +++ ++ ++ Dong Cao - 0 - + + - ++ ++ ++ ++ ++ ++ Thuy Lap + + ++ ++ ++ + + ++ ++ ++ ++ ++ ++ Nghia Lap + + + + + 0 ++ ++ ++ +++ +++ + Xuan Thien Thuong + 0 + + + - ++ ++ ++ +++ +++ + Vinh Luu + ++ + + + - +++ +++ ++ +++ +++ ++ Phung Chanh + + + + + - ++ ++ ++ +++ ++ + Total ++ ++ ++ +++ ++ ++

5. Financial capital

2007-_08 2017_18 2017_18/2007_08

Size of credit (million VND/hh)

-By nominal rate 10.8 21.8 11.0

-By real rate 10.8 12.2 1.4

Percentage of household with loans (%) 61 42 -19

1 to 10 million VND (%) 46 13 -33

10 to 20 million VND (%) 33 26 -7

> 20 million VND (%) 21 61 40

Table 15. Rate of households accessing credit over 2007_08-2017_18 period (% of surveyed households)

5. Financial capital

Credit providers

In study sites, The Vietnam Bank for Agriculture and Rural Development (VBARD) and the Vietnam Bank for Social Policy (VBSP) play crucial roles in providing credit for citizens, around 80% of household lending money from this two banks, the reason came from lower rate and did not need the witnessing access and also the target groups aimed at poor households. The rate of this credit fluctuated from 6-7%/ year and around 8%/ year for VBSP and VBARD respectively.

Social capital

Figure 6. Rate of households’ participation in social networks, 2007_08-2017_18 period

Conclusions

• Labor evolution: After 10 year period, it witnessed the reduction on in the household size, nearly 1.3 member of

reduction per household . Although half of the surveyed households have education beyond primary school, 3 % of them are illiterate, over 60 % of the work force do not have any professional training, but in recently, educational level has been upgrading compared with 2007_08 period, over 20% of population studying with upper level.

• Land use changes: The farm size is relatively small and considerably varies between the different household

categories and study sites. After 10 years, the total land use increased 0.2 sao/ household, the main reason come from the allocation policy, local government promoting household exploiting none use and waste land for developing perianal trees as well as crop season. Although in the whole of period, land fragmentation reduced significantly, but it still exited barriers for household in using efficiency ways. Almost land used were evaluated at the “bad” quality, in some study sites, land use improved quality by using appropriate of cultivation method.

• Physical capital: with the improvement in living condition, households spent amount of money for buying more

modern housing various types of valuable accesses such as motorbike, smart phone. At present, many households invested new updated modern machine that could help to reduce the time and save the cost in producing activities. It was also replicated in infrastructure, the connecting road among each village, commune, district and also for city 100% of household could approach with safe water and electricity. For sanitization issues, with the deeply consideration of different level of governments, various dams were built that solved the negative effect of this problem.

Conclusions

• Financial capital: Although the size of credit increased from 2007_08 to 2017_18, 10.8 million/

household compared with 21.8 million/household in 2017_18. But the percentage of households accessing credits has significantly decreased. In 2007_08 more than half of the surveyed households had accessed to credit compared with around 40% in 2017_18. VBARD and the Vietnam Bank for Social Policy VBSP play crucial roles in providing credit for citizens, around 80% of household lending money from this two banks.

• Social capital: WU and FA are the most popular social networks that have attracted most of the farmers in

the study sites; 95 % of the surveyed households reported their membership to WU and FA at local level. By participating to WU and WF, various types of benefit could be taken into account. Local people willingness to are participate in social and cultural activities for saving and developing traditional and cultural values. Hence, women are now active more in producing process, marketing orientation as well as get easier in approaching education, healthcare service, information, technology, credit and land.