THE FINANCIAL COMPENSATION AND THE DEVELOPMENT OF BRAZILIAN MUNICIPALITIES FLOODED BY HYDROELECTRIC DAMS

PULICE, SÉRGIO MANTOVANI PAIVA; MORETTO, EVANDRO MATEUS

doi:10.1590/1809-4422asoc0169r1v2042017

SÉRGIO MANTOVANI PAIVA PULICE

.Earth System Science Center, National Institute of Space Research (CCST / INPE). Member of the Research Group for Environmental Planning and Management (Plangea-USP). Mailing address: Avenida dos Astronautas, 1758 - Jardim Granja. São José dos Campos - SP,. Postcode 12227-010. E-mail: sergio.pulice@inpe.br.

EVANDRO MATEUS MORETTO

. School of Arts, Sciences and Humanities of the University of São Paulo (EACH-USP); Institute of Energy and Environment of the University of São Paulo (IEE-USP). Coordinator of the Research Group for Environmental Planning and Management (Plangea-USP) and member of the Rede de Barragens Amazônicas/Amazon Dams Network (RBA/ADN). Mailing address: Av. Prof. Luciano Gualberto, 1289 - Butantã, São Paulo - SP, Postcode 05508-010. E-mail: evandromm@usp.br.

Observed results x Designed results	Effective formal ruleⁱ	Ineffective formal rule
Convergent	Complementary Informal Rule	Substitutive Informal Rule
Divergent	Compliant/Tolerant Informal Rule	Competitive Informal Rule

Development variables	Expected variable performance	Observed results	Development directionality
Variable x	The more the value the better the results	Negative Spearman coefficient (The more the variation of “importance of FC in municipal revenue” the less the variation in the development variables)	Negative
Variable y	The more the value the better the results	Positive Spearman coefficient (The more the variation of “importance of FC in municipal revenue” the more the variation in the development variables)	Positive
Variable w	The more the value the worse the results	Positive Spearman coefficient (The more the variation of “importance of FC in municipal revenue” the more the variation in the development variables)	Negative
Variable z	The more the value the worse the results	Negative Spearman coefficient (The more the variation of “importance of FC in municipal revenue” the less the variation in the development variables)	Positive
Variable a	Demographic dimension variables	Positive or negative Spearman Coefficient	Neutralⁱⁱⁱ

Variables 2000 - 2010³	N	Spearman	p-value	Dimension	Development Direcionality
Gross frequency rate (secondary school)	600	-0,130536	0,001353	Literacy	Negative
Net frequency rate (primary school)	600	-0,107922	0,008151	Literacy	Negative
Complete primary school, ratio (18-24)	600	-0,101459	0,012902	Literacy	Negative
Population with no delay in pré-primary school (6-17 years), ratio..	600	-0,101068	0,013256	Literacy	Negative
Population with no delay in primary school (6-14 years), ratio	600	-0,099504	0,014756	Literacy	Negative
Expected years of schooling (at 18 years)	600	-0,093026	0,022675	Literacy	Negative
Gross frequency rate (primary school)	600	-0,091463	0,025066	Literacy	Negative
Complete primary school ratio (16-18)	600	-0,087335	0,032445	Literacy	Negative
Complete or in the final levels of primary school, ratio (12-14 years)	600	-0,086194	0,034787	Educação	Negative
Schoolar attendance ratio (6-17 years)	600	-0,083849	0,040052	Literacy	Negative
HDI Literacy	600	-0,080657	0,048294	Literacy	Negative
Population with at leats 2 years of delay in the primary school	600	0,091013	0,025791	Literacy	Negative
Rate of people who live in house with residente without complete primary school	600	0,109026	0,007518	Literacy	Negative
Human Development Index	600	-0,090897	0,025982	Synthetic Indices	Negative
Labour force with of 1 minimum wage	600	0,083849	0,040054	Income	Negative
Poor population, ratio	600	0,087765	0,031598	Income	Negative
Poor children, ratio	600	0,099593	0,014667	Income	Negative
Ratio of vulnerable in a house with no resident with primary school.	600	0,104709	0,010272	Income	Negative
Survival probability at 40 years	600	-0,092262	0,023818	Health	Negative
Survival probability at 60 years	600	-0,080691	0,048198	Health	Negative
Population who live in a house with a higher density in a dorm, ratio	600	0,097089	0,017366	Health	Negative

Variables 2000 - 2010	N	Spearman	p-value	Dimension	Development Directionality
Midwest
Theil index	67	-0,297617	0,014447	Income	Positive
Human Development Index - Income	67	-0,262968	0,031557	Synthetic Indices	Negative
Northeast
Illiteracy rate (25 years or more)	48	-0,320677	0,026269	Literacy	Positive
Attendance rate (18-24 years)	48	-0,310039	0,031989	Literacy	Negative
Illiteracy rate (18 years or more)	48	-0,309170	0,032498	Literacy	Positive
Illiteracy rate (15 years or more)	48	-0,308193	0,033079	Literacy	Positive
Ratio of population with piped water supply in the house	48	0,307976	0,033210	Health	Positive
North
Population ages 15-17	26	-0,426325	0,029872	Demography	Neutral
Population ages 16-18	26	-0,420585	0,032398	Demography	Neutral
Female Population ages 15-19	26	-0,409643	0,037686	Demography	Neutral
Schoolar attendance ratio (15-17 years)	26	-0,409915	0,037547	Literacy	Negative
Schoolar attendance ratio (6-17)	26	-0,399658	0,043091	Literacy	Negative
Household income per capita for the 10% richest	26	-0,544615	0,004019	Income	Positive
GINI index	26	-0,527540	0,005613	Income	Positive
Mean household income percapita for the 20% richest	26	-0,517265	0,006808	Income	Positive
Percentage of total income appropriated by the 10% of the population with the highest per capita household income	26	-0,483761	0,012283	Income	Positive
Activity rate of people (age 10 years or more)	26	-0,451624	0,020557	Income	Positive
Population in active age (ages 15-17)	26	-0,422294	0,031629	Income	Neutral
Percentage of total income appropriated by the 20% of the population with the highest per capita household income	26	-0,416068	0,034504	Income	Positive
Theil Index	26	-0,407388	0,038857	Income	Positive
Theil Indexe (work revenue)	26	-0,395759	0,045361	Income	Positive
Percentage of total income appropriated by the 80% of the population with the lowest per capita household income	26	0,416068	0,034504	Income	Positive
Total employed with complete secondary school	26	0,432479	0,027343	Income	Positive
Percentage of total income appropriated by the 60% of the population with the lowest per capita household income	26	0,556239	0,003169	Income	Positive
Southeast
Gross frequency rate secondary school	310	-0,189869	0,000779	Literacy	Negative
Populatio with secondary chool complete, ratio (ages 18-24)	310	-0,185595	0,001027	Literacy	Negative
Human Development Index - Literacy sub index	310	-0,183522	0,001171	Literacy	Negative
Population in the primary school with no delay (ages 6-14).	310	-0,175994	0,001868	Literacy	Negative
Ratio of population with primary school completed (ages 16-18)	310	-0,166694	0,003243	Literacy	Negative
Population with complete or in the final levels of pré-primary school, ratio (06-17 years)	310	-0,165149	0,003545	Literacy	Negative
Complete or in the final levels of primary school, ratio (12-14 years)	310	-0,164384	0,003704	Literacy	Negative
Expected years of schooling (18 years)	310	-0,161645	0,004326	Literacy	Negative
Net frequency rate pré-primary	310	-0,154847	0,006298	Literacy	Negative
Gross frequency rate pré-primary	310	-0,130294	0,021757	Literacy	Negative
Net frequency rate primary school	310	-0,122501	0,031063	Literacy	Negative
Illiteracy rate (15 years or more)	310	0,111585	0,049662	Literacy	Negative
Illiteracy rate (18 years or more)	310	0,112754	0,047307	Literacy	Negative
Population with at leats 2 years of delay in the primary school (ages 6-17)	310	0,178166	0,001636	Literacy	Negative
Rate of people who live in house with residente without complete primary school	310	0,190130	0,000766	Liteary	Negative
Human Development Index - Literacy	310	-0,181763	0,001308	Synthetic Indices	Negative
Human Development Index	310	-0,172584	0,002294	Synthetic Indices	Negative
Employed in the service sector	310	-0,157623	0,005412	Income	Negative
Mean household per capita income of poverty vulnerable population	310	-0,130452	0,021596	Income	Negative
Ratio of emplyed without regular documentaiton (18 years or more)	310	-0,114059	0,044786	Income	Negative
Ratio of population in poverty	310	0,157753	0,005373	Income	Negative
% of people vulnerable to poverty with no primary school completed	310	0,167105	0,003167	Income	Negative
Ratio of population with eletric energy supply	310	-0,173162	0,002216	Health	Negative
Ratio of population with piped water supply and regular bathroom in the house	310	-0,159527	0,004871	Health	Negative
Ratio of population with piped water supply in the house	310	-0,124433	0,028485	Health	Negative
Survivor probabilty at 60 years	310	-0,113887	0,045112	Health	Negative
Survivor probabilty at 60 years	310	-0,111662	0,049505	Health	Negative
Under-five mmortality rete	310	0,161094	0,004462	Health	Negative
Under-one mortality rate	310	0,169096	0,002820	Health	Negative
South
Population (ages 11-13)	149	-0,198410	0,015280	Demography	Neutral
Population (ages 11-14)	149	-0,186620	0,022675	Demography	Neutral
Female Population (ages 10-14)	149	-0,176754	0,031053	Demography	Neutral
Females (ages 12-14)	149	-0,170600	0,037509	Demography	Neutral
Population (ages 12-14)	149	-0,166290	0,042676	Demography	Neutral
Male Population (10-14)	149	-0,164446	0,045061	Demography	Neutral
Ratio of population in the school (ages 4-6)	149	0,206570	0,011485	Litearcy	Positive
Active Population (ages 10-14)	149	-0,185203	0,023743	Income	Negative

Selected Criteria	Number of associations	Positive associations	Negative associations	Neutral associations	Results frame
National scale	21	0	21	0	Divergent
Midwest Region	2	1	1	0	Divergent
Northeast Region	5	4	1	0	Convergent
Northe Region	17	10	4	3	Convergent
Southeast Region	29	0	29	0	Divergent
South Region	8	1	1	6	Divergent

[TFN1] Source: Adapted from Helmke & Levitsky, 2004HELMKE, G. & LEVITSKY, S. Informal Institutions and Comparative Politics: A Research Agenda. Perspectives on Politics, v. 2, n. 04, p. 725, 2004. .

Brasil

Brasil

THE FINANCIAL COMPENSATION AND THE DEVELOPMENT OF BRAZILIAN MUNICIPALITIES FLOODED BY HYDROELECTRIC DAMS

Abstract