Minggu, 20 Mei 2007

BETWEEN GROWTH POLES AND POVERTY ALLEVIATION: Infrastructure Development Patterns in Rural Indonesia

By Ivanovich Agusta

Abstract

Infrastructure development in rural Indonesia tends to be successful in alleviating poverty by developing economic sector. Nevertheless, there are developed villages without extensive infrastructure development, as well as poor villages although they have relatively complete infrastructure. Growth pole village strategy fits only within developed and relatively rich villages. On the opposite, poverty alleviation strategy is matched with poor villages in combination with both developed or undeveloped areas. According to recently infrastructure context, poverty alleviation strategy is more appropriate approach, rather than growth poles strategy, to develop villagers in rural Indonesia.
Keywords : rich village, poor village, economic sector


I. INTRODUCTION
1.1. Background
This paper will construct a new angle on relationship between infrastructure development and village economy. Based on villages sensus, the new result matrice of it will be useful to build critics for infrastructure development patterns in Indonesia.
After monetary crisis (since 1997) implicates on incidence of poverty (CBS, 1999a), again, infrastructure is expected as a prime mover to alleviate poverty in rural area, develop the area and bring it out of the crisis. The expectation is reflected within GBHN 1999 (Garis-garis Besar Haluan Negara, blueprint for state) and Propenas (National Development Program). As an item in supply side, the infrastructure is expected to create a stimulus for villagers to increase their economical status.
Actually, in early New Order era, infrastructure is also a very important variable to alleviate poverty. Twenty five years after Green Revolution in early New Order, or just several years before the crisis, most of villages in Java hava been developed area (Collier, et.al., 1996). Infrastructure itself, especially transportation one, creates its own revolution to develop rural area. Developed villages –instead of poor villages—have been recognized, which are then named growth pole’s villages.
Since decade of 1990s, villagers should need maintenance system instead of items of infrastructure construction (Soetrisno, 1994). After irrigation channels, dams, roads, bridges have been built, now the people should create local groups to maintain them.
Unfortunately monetary crisis –then spreads to many sectors of economics, politics, and social structure—terminates the capability of maintenance above. Value of money increases within villages, as well as migrants from urban areas, so that poor villages increases. The crisis increases numbers of the poor (CBS, 1999a, 2001) –then implicates on higher numbers of poor villages. Destruction of infrastructure should be rebuilt. In other villages –especially out of Java or Eastern Indonesia—even infrstructure still must be constructed.
1.2. Problems
The background above implicates some problems of this article:
1. How is relationship between infrastructure development and village economy?
2. How is the solution to solve infrastructure’s problem and develop villages?
1.3. Purposes
The article aims to:
1. explain relationship between infrastructure sector and villages’ economical status
2. understand programs to solve the infrastructure’s problem
3. recommend alternative solution for the problem
II. METHOD OF THE STUDY
Quantitative method is used in the study dominantly. Nevertheless we refer to our experiments attending many villages, to interprete the quantitative method‘s result.
Source of data is Village Potency Data (Data Potensi Desa/Podes) Year 2000 (for data of year 1999). This is the most appropriate data of villages in Indonesia. The data is a sensus of all villages in Indonesia, based on annual report of village heads. Mantri Statistik (the lowest officer of Central Board of Statistics/BPS) at kecamatan (subdistrict) level collected the data from villages, then the data is collected at national level. Village Potency Data contains data of 68,783 villages totally, which is divided into 63,313 villages (92.05%) and 5,470 kelurahan (kampong in urban area, totally 7.95%). We only use data of villages.
According to Tetiani’s study on 2003 in Margamukti Village, Pangalengan Subdistrict, Bandung District,[1] Village Potency Data contains lower account of facility rather than real data. The account is also lower than other data collected directly by statistical officers. Unfortunately, some facility data of the officer was also lower than facts by sensus. There were from one to seven facilities forgetted by village head and the officer. By percentage, the data contains from 5% to 50% of the real facility available in the village –the percentage increases for rare facility, such as bridges, traditional means of transportation (dokar, bicycle), and local institution (cooperation, groups).
We try to eliminate such data by computing existence of facilities (ada/exist or tidak/not), rather than numbers of facilities. Besides, in interpreting the study result, we consider that facts of villages’ facilities is higher than the data.
Unfortunately, little absolute error cannot be manipulated, such as error on defining village geographical area. During Agusta’s fieldwork on Palu Valley, South Sulawesi, on 2001,[2] villages at hilly area are defined as coastal villages. We remind Readers to be careful on geographical data. Probably there are 5 percents of error data, especially between hilly and coastal areas.
At first time of computing data, we use them to explain the relationship between infrastructure facility and villagers’ economical status. We call poor village which has poor people dominantly, and a rich village which has rich people dominantly. We think that the definitions fit sociological facts well. The poor village reflects on poor social institution for economical production, or have no or little preparadness for production activities. On the opposite, the rich one reflects on many social institutions for economical production, and readiness for production activities. Meanwhile, statements of wheter rich or poor one are from emic’s perpective of local elite.
Eventhough more simple, this classification will more apropriate for infrastructure development in order to develop local economy, rather than BPS’s classification of underdeveloped village (Desa Tertinggal/IDT) based on urban facilities (CBS, 1999b). The last classification actually assumes that poor people stays in undeveloped village. A previous research found that the assumption tends to be right (Sumodiningrat, 1996). Nevertheless, we critize the result by considering every data out of the trend, such as rich villages within undeveloped villages, or poor villages within developed villages. We try to find out more apropriate analysis and new result implication.
Secondly, we choose 22 variables of facilities’ existence (Appendix 1). Choice of the variables are based on availability data in Village Potency Data. In previous research, facilities are usually divided into two groups. First, a groups of economical facilities, such as facilities of transportation, communication, agriculture, and market. Second, a group of non-economical facilities, such as housing, environment, education, and health. In the article, however, we do not divide the facilities into the two groups. The reasons are gained from our experiences (Agusta and Tetiani, 2000): first, villagers usually have no idea of classification of economical and other facilities. Second, in practice consistently, they use all of the facilities for both production and consumption activities. For example, they use their house for staying and sleeping as well as base for home industry or kiosk.
To construct the typology of villages, the data is inserted in frequency table and contingent tabel. Classifications are based on variables of geography, topography, economical status of villagers, and dominant source of the villagers’ income. According to completeness of theirs facilities, villages themselves are classified into villages which have absolutely no facility (0 facility), low ranked facilities (1-7 facilities), middle ranked facilities (8-14 facilities), and high ranked facilities (15-21 facilities). There is no village which has absolutely complete 22 facilities.
III. INFRASTRUCTURE AND VILLAGE ECONOMY
Tabel 1 shows positive relationship between infrastructure development and poverty alleviation. The poverty alleviation is indicated by increasing of villages’ economical status. If infrastructure development increases, then rich villagers will increase too. We see that most of poor villages (which involve most of poor people) have little numbers of facilities, even no facility (on 1999, but maybe there is under-counted). It is interesting, that the village without facility is able to be used as a control of our result: if there is no facility, then the village (villagers dominantly) is (are) still poor. Consistently, most of rich villages have many facilities, even though there is no village that has facilities completely.

Table 1. Number of Villages Based on Completeness of Facilities and Village Economy in
Indonesia, 1999

Facility
Villages which has People Dominantly
Total
Rich
Poor
No Facility (0)
0
1
1
Low Ranked Facility (1-7)
3,840
9,150
12,990
Middle Ranked Facility (8-14)
24,944
13,741
38,685
High Ranked Facility (15-21)
8,770
867
9,637
Total
37,554
23,759
61,313

Comparing the table with CBS own sensus of underdeveloped villages (desa tertinggal) before monetary crisis, we get higher result of poor villages based on local opinion (head village report on Village Potency Data). On 1993 CBS reported 19,625 undeveloped villages (Supriatna, 1997) or 33.44% of villages. Table 1 shows 23,759 poor villages or 38.75% of villages. The differentiation maybe a result of incidence of poverty during monetary crisis, or local (elite) perspective is more reliable. Many social scientist have an opinion, that poverty phenomenon was higher in the field rather than at agregate data (White, 1996).
In order to focus our analysis, we will compress four rows at Table 1 into two rows, based on different completeness of facility significantly. First, undeveloped villages which contain a row of little facilities’ villages (from rows “no facility” and “low ranked facility”). They include 12,991 villages. Second, developed villages which contain a row of many facilities’ villages (from rows “middle ranked facility” and “high ranked facility”). They contain 48,322 villages. This compression will be used to analyse infrastructure programs below.
It is interesting that there are anomalies, such as rich villages which have little facilities or in undeveloped villages, as well as poor villages which have many facilities or in developed villages. Numbers of anomalies are relatively high (although they statistically do not break “normal” relationship above), such as more than one-third. We interprete, that there must an intervening variable between these items of facility and economical status.
As economical status of villagers is counted based on richness of money, or assumed on village monetization, variance of economical institution may be the intervening variable. We should interprete institution as a medium of norms, which is used beneficiaries to gain their needs and purpose, such as cooperation, home industry, informal trading, etc. Based on our experiences (Agusta, et.al., 2000), we hypothese, that there are many economical institutions in rich villages, so that villagers are able to buy, produce, or sell goods or services. In other world, there are institutions of production, consumption, and distribution. Such villages –in our experience—are ready for catching regional development program such as infrastructure construction (Agusta, 2000; Agusta and Tetiani, 2000). The villagers may get benefits from the infrastructure.
On the contrary, poor villages may have only little economical institutions. It is still difficult for villagers to buy, produce, or sell goods or services. In other world, there are institutions of production, consumption, and distribution. The villagers cannot get benefits from infrastructure development.
Furthermore, we will see variances of economical institutions which relate to villagers’ economical status and facility of villages. Appendix 2 indicates that agriculture (food crops, livestock, foerstry, cash crop, fishery, other agriculture) is still the most important economical institution in rural Indonesia. It is interesting that development of agriculture is parallel with infrastructure development. We interpret that infrastructure may develop subsistence agriculture (indicated by convergence of poor villages and undeveloped villages) into commercialized agriculture (indicated by convergence of rich villages and developed villages). Cash crop is the most important agricultural sector for the social change, because private sector or smallholders may construct infrastructure themselves. The infrastructure, then, increases benefits or return for them to enhance their economy. This phenomenon may attack previous these of economic dualism of Boeke (Boeke 1983, 1953, Tetiani and Agusta, 2003), eventhough has been found even since cultuur stelsel on 1830-1870 (Elson, 1994, 1988).
The table also shows that secondary and tertiary institution (industry and trading) still lead villagers into higher economical status. They are indicated by dominantly rich villages which have industry and trading as income sources dominantly, in either low, middle, and high ranked facilities. According to this result, we cannot take a common assumption, that tertiary economy has higher status rather than secondary economy, like, for instance, has been implemented for underdeveloped village development/Program IDT (Supriatna, 1997). In our research result, both of them are at the same position, even secondary economy leads villagers more significantly to increase their economical status within villages of middle ranked facilities.
The result should be interpreted that high economical status fits in industrial institution, rather than industry itself. According to experiences within Industrial Revolution, industrial institution is better characterized by mass consumption or commercial orientation, and hierarchical division of labour. Management controls labour process, and conducts mechanisation instead of manual activities. By this definition, industrial institution may be used also for developing agriculture and trading sectors. In other world, industrialization (within this definition) also fits in monetization.
IV. INFRASTRUCTURE DEVELOPMENT PATTERNS
There are two patterns of governmental programs on infrastructure development. First, growth poles strategy. Second, poverty alleviation strategy.
The first strategy of growth poles is implemented by developing a (several) village(s). Then benefit of development result will spread to villages around it (them). Some scientists (Hanafiah, 1988) believe that this strategy may be implemented within undeveloped villages area. We are difficult to accept this argument, because the point of discussion must not only completeness of facilities, but also readiness off villagers to develop themselves. Probably only convergence of undeveloped and rich villages (in our study are 3,848 villages) involve in the strategy –if implemented to undeveloped villages.
On the other hand, many scientists propose developed village for implementation of the strategy. Mosher (1974), for example, uses term of a progressive village. As reflected by program’s requirement and implemented within some infrastructure programs, the last these have been accepted. We argue, however, that the most apropriate villages for the strategy are convergence of developed and rich villages. In our study, they are 33,714 nominees. Even we can propose 8,770 villages within left-below cell as the first priority. The villages are ready on facilities for developing themselves, and supported by their economical capacity as indicated by dominantly rich people (or sustainable economical institution).
Otherwise, the strategy focuses on trickle down (or spread off) effect of development result. Unfortunately, this effect has been critized deeply, for example by Soedjatmoko (Newland and Candrakirana, eds.1994). It is difficult to spread accumulation of beneficiaries within growth pole’s villages into poor villages around it. The development becomes centralised within the pole’s village (and rich villagers).
In Indonesia, there are also too little villages of growth poles, so that too little significant impact of them are able to ber studied. Since 1990s, international donors are not interested to the growth poles strategy. They focus on poverty alleviation programs. We see this trend from following governmental programs of this pattern:
1. Agropolitan Villages. The growth pole’s villages development focuses on agribusiness supporting system. The infrastructure includes roads, irrigation, market, water treatment, drainage, garbage system, electricity, means of telecommunication, school and health buildings.
2. KTP2D is also growth pole’s villages development program, especially for fast growing villages. Infrastructure development will be focused on agribusiness area, agroindustry area, agrotourism area, and center of local services.
As we have discussed above, international donors tend to fund poverty alleviation programs (ADB, 2001; Agusta, 2002b). This trend also biases to infrastructure programs.
Putting on a context of governmental infrastructure development since 1990s, the first strategy is conducted by bottom up, participatory and empowerment approach (Agusta, 2002a, 2002c). These approaches focus on redistribution of wealth or development result. We agree that the democratical approach will match with recent rural development.
Nevertheless we add some notes. Governmental programs usually intepret underdeveloped villages at single view. The interpretation is not matched with the facts. Based on our Table 1, programs for undeveloped villages (12,991 villages) may be accepted by either poor or rich villages. In other world, such programs (which dominantly implemented by the government) may help or empower most of the poor (in poor villages), but may subsidize the rich (in rich villages).
We argue, that infrastructure programs should implemented on the poor villages. They are 23,759 villages. On the side, possibility that the programs will reach the poor is higher than the previous type of program (undeveloped villages programs).
Again poor villages are not at single perspective. The programs for the poor may be accepted by undeveloped or developed villages. This differentiation gives us an idea to construct a hypothese, that the program will develop economy faster within developed villages, rather than within undeveloped villages.
Furthermore, Table 2 has given us other lesson. Based on variance of local economical institutions, infrastructure programs (from infrastructure department) can be implemented with other sectors (departments) integratively, such as agriculture, industri, trade, even education and health.
It is important to cite Sajogyo’s argument on poverty alleviation.[1] He argued that poverty alleviation must be an integrative action within many development sectors. Although based on his critics of document of Poverty Alleviation Committee (Komite Penanggulangan Kemiskinan) –which he critizied on focus of just micro finance—on Tabel 3 Sajogyo propose participants for alleviating poverty. On the context of infrastructure development, he gave notes to appreciate strategies for rural area, urban area, and relationship between them.
The governmental programs of this type include:
1. Less-Developed Village Infrastructure Development Program (Program Pembangunan Prasarana Pendukung Desa Tertinggal/P3DT). The program aims to help poor people in less-developed villages, by constructing economical infrastructure. By participatory meeting, the villagers may propose activities to construct road, bridge, water treatment, etc.
2. Rural Infrastructure Development (Pengembangan Prasarana Perdesaan/P2D). We can call the program as continuation of P3DT. The program aims to support regional economy, empower people and alleviate poverty. The program includes infrastructures’ development of transportation, supporting produktion, clean water and health.
3. Rural Water Supply and Sanitation (RWSS). Within this program digged and hand-pumped well, rainy water container, and water treatment are built.
4. Water Supply and Sanitation for Low Income Communities (WSSLIC). This program focus on the poor to build digged and hand-pumped well, rainy water container, and water treatment.
5. Social Security Basket (Jaring Pengaman Sosial/JPS). This program responses monetary crisis’s impact, by creating local groups to alleviate poverty in agriculture sector, education, health, urban employment, local empowerment to alleviate economical crisis impact.

Tabel 3. Reconstruction of Policies of Poverty Alleviation Committee

Members of the Committee (3+1 Social Sectors, 5+1 Economic Sectors, Local Autonomous, Development Planning, Data Sectors)
Beneficiaries
Productive People (15-55 years old)
Non-productive People (less than 15 years old)
Non-productive People (more than 55 years old)
Poor Household
Poor Groups
Enterpreneur at Small and Medium Enterprise
Social……..1) Social Dept






Social …….2) Health Dept






Social …….3) Education
Dept +
Religious Dept






Economic…4) Agriculture
Dept (+ Forestry
Dept + Fishery
Dept)






Economic ..5)Labor and
Transmigration
Dept






Economic…6) Infrastructure
Dept






Economic ..7) Cooperation,
Small and
Medium
Enterprises
Dept






Economic..8) Finance Dept
(+Bank of
Indonesia)
(+BPN/National
Land Board)






Local Autonomous ...
9) Internal Affair Dept
(Relationship between Groups-Villages-Districts/Towns)
Development Planning ... 10)Bappenas
(Development Planning at National-Province-Districts/Towns Levels)
Data…. 11) Central Board of Statistics (CBS)




?

Note:
+) the participant has not been the Committee member yet.
Source: Pusat P3R, 2002


6. Integrative Area Development (Pengembangan Kawasan Terpadu/PKT). By bottom up planning, the program directly put on poor sub-district and villages to build infrastructure and economical activity.
7. Dry-Land Agricultural Program (Program Pertanian Lahan Kering/P2LK). The program is implemented on road development and credit services.
8. Programs on health sector. Since 1970s Puskesmas, Puskesmas Pembantu, Posyandu are built in villages.
9. Programs on education sector. Since 1970s there are many presidential decrees to conduct development of school buildings.
10. Kecamatan Development Project (Program Pengembangan Kecamatan). Within the program, villagers create participation in local meeting and local groups to build road, bridge, water treatment, as well as to service the villagers by local credit union.
11. Poverty Alleviation through Rural Urban Lingkage (PARUL). In the program, infrastructure was built by government, but local government and the people are responsible to maintain it.
V. CONCLUSION
At the end, we conclude that there is positive relationship between infrastructure development and village economy. Infrastructure development in rural Indonesia tends to be successful in alleviating poverty by developing economic sector.
We have an analitical matrice of undeveloped-developed villages and poor-rich villages. There are developed villages without extensive infrastructure development, as well as poor villages although they have relatively complete infrastructure.
There are two patterns of infrastructure development, first, growth poles strategy. Second, poverty alleviation strategy. Growth pole village strategy fits only within developed and rich villages. A lack of international donors support make this strategy difficult to be implemented. Besides, the strategy may left local democratization –that is important for villagers at “reformation era”.
On the opposite, poverty alleviation strategy is matched with 23,759 poor villages in combination with both developed or undeveloped areas –instead of previous accepted interpretation by government, that implemented for undeveloped villages. Possibility that the strategy will reach the poor is high. Our hypothese is, that the program will develop economy faster within developed villages, rather than within undeveloped villages. Based on variance of local economical institutions, infrastructure programs (from infrastructure department) can be implemented with other sectors (departments) integratively, such as agriculture, industri, trade, even education and health. Besides, an appreciation should be given for strategies for rural area, urban area, and relationship between them.
More governmental infrastructure programs focus on the strategy of poverty alleviation. These have been supported by international donors, especially since 1990s, which tend to focus on supporting poverty reduction. Many controls make the programs tend to be participative among villagers. According to recently infrastructure context, poverty alleviation strategy is more appropriate approach, rather than growth poles strategy, to develop villagers in rural Indonesia.
VI. BIBLIOGRAPHY
ADB (Asian Development Bank). 2001. Moving the Poverty Reduction Agenda Forward in Asia and the Pacific: The Long-Term Strategic Framework of the Asian Development Bank (2001-2015). ADB. The Philippines.
Agusta, I. 2002a. Assumptions of Empowerment at Workplace in Rural Indonesia. Paper presented on the XVth International Sociological Association (ISA) congress of Sociology, in Brisbane, Australia, July 7-13, 2002.
________. 2002b. Creating Linkages between International Donors and the Poor: ADB’s Role on Recent Poverty Reduction in Indonesia. Paper presented on the XVth International Sociological Association (ISA) congress of Sociology, in Brisbane, Australia, July 7-13, 2002.
________. 2002c. Metodologi Evaluasi Program Pemberdayaan. Paper presented on Indonesian Sociological Association (ISI) Congress in Bogor, August 28-29, 2002.
_______. 2000. Pembangunan Prasarana Desa Tertinggal (Underdeveloped-village Infrastructure Development). Jurnal Sosiologi Indonesia.
Agusta, I. et.al. 2000. Laporan Akhir Evaluasi Program Pengembangan Kecamatan (Final Report on Evaluation of Kecamatan Development Project). Bappenas. Jakarta.
Agusta, I and A. Tetiani. 2000. “Pemberdayaan Masyarakat Pesisir” (Coastal Community Empowerment), in Kompas, April 10, 2000.
Boeke, J.H. 1983. Prakapitalisme di Asia (Pracapitalism in Asia). Sinar Harapan. Jakarta.
_________. 1953. “Memperkenalkan Teori Ekonomi Ganda” (Introducing Dual Economy), in Sajogyo, ed. 1982. Bunga Rampai Perekonomian Desa. Yayasan Agro Ekonomika. Jakarta.
Collier, W.L., et al. 1996. Pendekatan Baru dalam Pembangunan Pedesaan di Jawa : Kajian Pedesaan Selama Dua Puluh Lima Tahun (New Approaces in Rural Development in Java: 25 Years of Rural Appraisal). YOI. Jakarta.
CBS. 1999a. Laporan Sosial Indonesia 1998: Kemiskinan, Pengangguran dan Setengah Pengangguran (Social Report of Indonesia 1998: Poverty, Unemployment). BPS. Jakarta.
____. 1999b. Penyempurnaan Metodologi Penghitungan Penduduk Miskin dan Profil Kemiskinan (Methodology Refinement on Accounting the Poor and Poverty Profile). Unpublished draft.
____. 2001. Laporan Perekonomian Indonesia 2000: Angkatan Kerja, Konsumsi, dan Kemiskinan Penduduk (Report on Economiy of Indonesia 2000: Labor Force, Consumption, and Poverty). BPS. Jakarta.
Elson, RE. 1994. Village Java under the Cultivation System 1830-1870. ASAA. Singapore.
_________. 1988. “Kemiskinan dan Kemakmuran Kaum Petani pada Masa Sistem Tanam Paksa di Pulau Jawa” (Poverty and Wealth of Peasants during Cultuur Stelsel in Java), in A. Booth, O’Malley, Weidemann, eds, 1988. Sejarah Ekonomi Indonesia. Terjemahan. LP3ES. Jakarta.
Hanafiah, T. 1988. Pengembangan Pusat Pertumbuhan dan Pelayanan Kecil dalam Rangka Pengembangan Wilayah Pedesaan (Growth Poles and Little Services Development in order to Develop Rural Area). Jurusan Ilmu-ilmu Sosial Ekonomi Pertanian IPB. Bogor.
Mosher, A.T. 1974. Menciptakan Struktur Pedesaan Progresif untuk Melayani Pertanian Modern (Creating Progressive Villages to Service Modern Agriculture). Yasaguna. Jakarta.
Newland, K. and K. Candrakirana, eds.1994. Menjelajah Cakrawala: Kumpulan Karya Visioner Soedjatmoko (Collection of Visionary Articles of Soedjatmoko). Gramedia. Jakarta.
Pusat P3R. 2002. Laporan Akhir Kajian Kebijakan Pemberdayaan Masyarakat Miskin di Era Otonomi Daerah (Final Report on Policy Study on Poor People Empowerment in Local Autonomous Era). Kementerian Koordinator Perekonomian. Jakarta.
Soetrisno, L. 1994. Menuju Masyarakat Partisipatif (Towards Participatory Society). Kanisius. Yogyakarta.
______1996. “Perencanaan Pembangunan dalam Penanggulangan Kemiskinan” (Development Planning for Poverty Alleviation), in Prisma Special Edition Vol. 25.
Supriatna, T. 1997. Birokrasi Pemberdayaan dan Pengentasan Kemiskinan. HUP. Bandung.
Tetiani, A. and I. Agusta (2003): Falsification Towards Dual Economy on Plantation Society in Indonesia. Paper presented on the 2nd International Conference of Asian Rural Sociological Association (ARSA), in Mataram, Indonesia, July 27-31, 2003.
White, B. 1996. “Optimisme Makro, Pesimisme Mikro? Penaksiran Kemiskinan dan Ketimpangan di Indonesia, 1967-1987” (Macro Optimism, Micro Pesimism? Poverty and Gap Appraisal in Indonesia 1967-1987), in M.T.F. Sitorus, et.al. Memahami dan Menanggulangi Kemiskinan di Indonesia: Prof. Dr. Sajogyo 70 Tahun. Gramedia. Jakarta.
Appendix 1. Variables for Classifying Villages



Items of Facilities
Value
Notes
Housing


X1
Household Customers of Electricity
0
Numbers of household customers are less than or as same as 50% of total households in the villages
1
Numbers of household customers are more than 50% of total households in the villages
X2
Fuel
0
Wood, etc
1
Gas /LPG, parafin
X3
Permanent Resident
0
Numbers of permanent residents are less than non-permanent residents
1
Numbers of permanent residents are same or more than non-permanent residents

Environment


X4
Garbage
0
River, etc
1
Garbage container, garbages are covered or burned
X5
Rest room
0
No closet
1
Pulic’s, group’s or private closet
X6
Drainage
0
Not flowly, stagnant water, no drainage
1
Flowly

Education


X7
Per-School
0
No
1
Yes
X8
Elementary School
0
No
1
Yes
X9
Junior High School
0
No school and the nearest one is more than 5 km
1
Yes or (no school but the nearest one is less than 5 km)
X10
Senior High School
0
No school and the nearest one is more than 5 km
1
Yes or (no school but the nearest one is less than 5 km)
X11
Applied Course
0
No
1
Yes

Health


X12
Midwive’s practical room, Posyandu, Puskesmas
0
No
1
Yes
X13
Doctor
0
No
1
Yes
X14
Other medical officer
0
No
1
Yes
X15
Source of water for taking a bath
0
Well, source, river/lake, rainy water, etc

1
PAM, electrical/hand pump, artheses well

Transportation


X16
Types of road surface
0
Land, etc
1
Asphalt/concrete/con block, hard road (gravel, stone, etc) + most of transportation via water or air
X17
River bridge
0
Wood/bamboo
1
Iron/ concrete, Iron /Beton/wood/bamboo, no bridge
X18
Main road lightening
0
No
1
Yes
Communication


X19
Post Office/Round
0
No
1
Yes
X20
Public television
0
No
1
Yes

Agriculture


X21
Wet rice field
0
Occupied irrigated wet rice field less than occupied non-irrigated wet rice field and unoccupied non-irrigated wet rice field
1
Occupied irrigated wet rice field as same as or more than occupied non-irrigated wet rice field and unoccupied non-irrigated wet rice field, no occupied non-irrigated wet rice field, no wet rice field
Market


X22
Permanent/semi permanent markets, or non permanent market
0
No market and the nearest one is more than 5 km
1
Yes, or the nearest market is as same as or less than 5km

Appendix 2. Dominant Income Source of Villages in Indonesia Based on Completeness of
Facilities, 1999

Facility
Dominant Income Source
Villages which has People Dominantly
Total
Rich
Poor
No Facility (0)
Food crops
0
1
1
Total

1
1
Low Ranked Facility (1-7)
Food crops
2,416
6,672
9,088
Livestock
14
21
35
Forestry
78
340
418
Cash crops
1,049
1,554
2,603
Fishery
227
389
616
Other agriculture
34
157
191
Mining and Excavation
3
4
7
Industry
5
3
8
Trading, restaurant, accomodation
4
2
6
Others
10
8
18
Total
3,840
9,150
12,990
Middle Ranked Facility (8-14)
Food crops
18,741
10,798
29,539
Livestock
74
38
112
Forestry
82
76
158
Cash crops
4,508
2,063
6,571
Fishery
778
532
1,310
Other agriculture
188
117
305
Mining and Excavation
30
20
50
Industry
157
16
173
Trading, restaurant, accomodation
88
15
103
Others
298
66
364
Total
24,944
13,741
38,685
High Ranked Facility (15-21)
Food crops
6,994
730
7,724
Livestock
22
2
24
Forestry
5
1
6
Cash crops
542
54
596
Fishery
186
23
209
Other agriculture
58
9
67
Mining and Excavation
29

29
Industry
211
10
221
Trading, restaurant, accomodation
219
11
230
Others
504
27
531
Total
8,770
867
9,637



[1] The information is based on our discussions with Prof. Sajogyo during conducting many studies together.
[1] We thank to Tetani to use her data analysis of her forthcoming master theses.
[2] We thank to Agusta to use his data analysis.