Importance of the sugarcane industry in the formal employment in the state of Mato Grosso do Sul during the period of 2008 to 2014

Defante, Lilliane Renata; Vilpoux, Olivier François; Sauer, Leandro

doi:10.1590/1806-9479.2020.193496

Acessibilidade / Reportar erro

Brasil

Revista de Economia e Sociologia Rural

Español English

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

ARTICLE • Rev. Econ. Sociol. Rural 58 (4) • 2020 • https://doi.org/10.1590/1806-9479.2020.193496 copy

Importance of the sugarcane industry in the formal employment in the state of Mato Grosso do Sul during the period of 2008 to 2014

Importância do setor de cana-de-açúcar no emprego formal do estado de Mato Grosso do Sul, durante o período de 2008 a 2014

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract:

In the early 2000s, sugarcane experienced high growth in Brazil and Mato Grosso do Sul experienced the highest growth, with a 398%% increase. We analysed the impact of the sugarcane industry on formal employment and wages in Mato Grosso do Sul between 2008 and 2014. We used a Normalized Concentration Index (nCI) decomposed into Location Quotient (LQ), modified Hirschman Herfindahl Index (HHm), and Relative Participation (RP). Data were collected in the Annual Report on Social Information (RAIS). The nCI allows a general perception of concentration since LQ and HHm give greater weight to small municipalities with few activities, and the RP underestimates the importance of industry for these same municipalities. Thus, the municipality of Dourados, the second largest in the state, had an RP of 9%, but low LQ and HHm. The sugarcane industry plays an essential role in the economy of small towns, where it generates most of the formal jobs, with higher salaries. However, the impact is concentrated in a few small cities. Another effect is the fast disappearance of the benefits of the sugarcane industry in areas where processing units were closed. The dependence of the sugarcane industry in small municipalities is a concern whose solution should be further studied.

Keywords:
spatial concentration; concentration index; rural development

Municipalities	2008	2010	2014
Angélica	1,38	1,39	1,90
Aparecida Do Taboado	1,49	1,52	1,53
Bataipora	2,16	1,49	1,32
Caarapó	1,17	1,42	1,11
Chapadão Do Sul	1,20	1,29	1,16
Costa Rica	1,35	1,39	1,65
Dourados	1,42	1,21	1,19
Eldorado	1,49	1,03	1,06
Fatima Do Sul	1,34	2,11	1,58
Maracaju	1,31	1,52	1,48
Naviraí	2,12	1,47	1,39
Nova Alvorada do Sul	1,79	1,61	1,40
Nova Andradina	2,23	1,63	1,46
Ponta Porã	-	1,60	1,48
Rio Brilhante	1,59	1,53	1,48
Sonora	1,05	1,02	1,21
Vicentina	-	1,09	1,30

Component	Variance explained by the rotational sums of squared loads	Total explained variance
1	$β_{1}$	$β_{1}$
2	$β_{2}$	$β_{1}$ + $β_{2}$
3	$β_{3}$	$β_{1}$ + $β_{2}$ + $β_{3}$ (=100%)

Input indicator	Component 1	Component 2	Component 3
LQ	$α_{11}$	$α_{12}$	$α_{13}$
RP	$α_{21}$	$α_{22}$	$α_{23}$
HHm	$α_{31}$	$α_{32}$	$α_{33}$

Input indicator	Component 1	Component 2	Component 3
LQ	$α'_{11} \equiv \frac{\|α_{11}\|}{C_{1}}$	$α'_{12} \equiv \frac{\|α_{12}\|}{C_{2}}$	$α'_{13} \equiv \frac{\|α_{13}\|}{C_{3}}$
RP	$α'_{21} \equiv \frac{\|α_{21}\|}{C_{1}}$	$α'_{22} \equiv \frac{\|α_{22}\|}{C_{2}}$	$α'_{23} \equiv \frac{\|α_{23}\|}{C_{3}}$
HHm	$α'_{31} \equiv \frac{\|α_{31}\|}{C_{1}}$	$α'_{32} \equiv \frac{\|α_{32}\|}{C_{2}}$	$α'_{33} \equiv \frac{\|α_{33}\|}{C_{3}}$

Municipalities	2008	2010	2014
Angélica	20.58	16.47	19.16
Rio Brilhante	12.07	9.45	10.67
Nova Alvorada do Sul	6.57	9.31	9.38
Vicentina	7.99	4.25	5.69
Costa Rica	2.29	3.42	5.48
Caarapó	2.06	5.5	5.1
Maracaju	2.97	4.6	4.46
Bataiporã	-	2.7	4.32
Fátima do Sul	1.37	1.28	4.29
Eldorado	1.93	-	4.00
Naviraí	8,47	4,13	3,73
Chapadão do Sul	2,56	3,66	3,20
Nova Andradina	-	2,12	2,55
Sonora	10,42	11,26	2,18
Aparecida do Taboado	3,18	2,16	2,03
Anaurilândia	-	-	1,63
Ponta Porã	-	1,64	1,54

Municipalities	2008	2010	2014
Angélica	11	10	20
Rio Brilhante	17	16	17
Nova Alvorada do Sul	4	8	9
Dourados	10	12	9
Naviraí	21	8	7
Maracaju	4	7	7
Costa Rica	2	3	5
Caarapó	1	5	5
Chapadão do Sul	2	4	4
Nova Andradina	-	3	4
Ponta Porã	-	3	3
Aparecida do Taboado	3	2	2
Bataiporã	-	1	2
Fatima do Sul	1	1	2
Sonora	7	7	1
Vicentina	1	1	1
Eldorado	1	-	1

Municipalities	2008	2010	2014
Angélica	10	10	19
Rio Brilhante	16	14	15
Nova Alvorada do Sul	4	7	8
Naviraí	18	6	5
Maracaju	2	5	5
Costa Rica	1	2	4
Caarapó	1	4	4
Chapadão do Sul	1	3	3
Nova Andradina	-	2	3
Bataiporã	-	1	2
Sonora	6	6	1
Aparecida do Taboado	2	1	1
Ponta Porã	-	1	1
Dourados	-	4	1
Eldorado	-	-	1
Fatima do Sul	-	-	1

Municipalities	LQ	RP	HHm	nCI
Angélica	19.16	0.20	0.19	1.00
Rio Brilhante	10.67	0.17	0.15	0.78
Nova Alvorada do Sul	9.38	0.09	0.08	0.59
Maracaju	4.46	0.07	0.05	0.44
Naviraí	3.73	0.07	0.05	0.44
Costa Rica	5.48	0.05	0.04	0.42
Caarapó	5.10	0.05	0.04	0.41
Dourados	0.88	0.09	-0.01	0.38
Chapadão do Sul	3.2	0.04	0.03	0.35
Nova Andradina	2.55	0.04	0.03	0.35
Bataiporã	4.32	0.02	0.02	0.33
Vicentina	5.69	0.01	-	0.33
Fátima do Sul	4.29	0.02	0.01	0.33
Eldorado	4	0.01	0.01	0.32
Ponta Porã	1.54	0.03	0.01	0.30

Municipalities	Wages				Formal employment
Municipalities	LQ	RP	HHm	nCI	nCI
Angélica	18,75	0,23	0,21	1,00	1.00
Rio Brilhante	11,61	0,17	0,16	0,76	0.78
Nova Alvorada do Sul	10,17	0,09	0,08	0,57	0.59
Costa Rica	7,06	0,06	0,05	0,45	0.42
Maracaju	5,44	0,07	0,05	0,44	0.44
Caarapó	5,86	0,05	0,04	0,41	0.41
Naviraí	3,66	0,06	0,04	0,39	0.44
Dourados	-	0,09	-	0,36	0.38
Fatima do Sul	5,49	0,02	0,02	0,35	0.33
Nova Andradina	3,18	0,04	0,03	0,35	0.35
Vicentina	6,19	0,01	-	0,34	0.33
Chapadão do Sul	3,27	0,04	0,03	0,34	0.35
Bataiporã	4,81	0,02	0,01	0,33	0.33
Aparecida do Taboado	2,67	0,02	0,01	0,31	0,29
Eldorado	3,75	0,01	0,01	0,30	0.32
Ponta Porã	1,99	0,03	0,01	0,30	0.30

Municipalities	2008	2010	2014
Angélica	0.78	0.83	1.00
Rio Brilhante	0.89	0.88	0.76
Nova Alvorada do Sul	0.51	0.68	0.57
Costa Rica	0.31	0.40	0.45
Maracaju	0.36	0.55	0.44
Caarapó	0.35	0.51	0.41
Naviraí	0.75	0.55	0.39

Sociedade Brasileira de Economia e Sociologia Rural Av. W/3 Norte, Quadra 702 Ed. Brasília Rádio Center Salas 1049-1050, 70719 900 Brasília DF Brasil, - Brasília - DF - Brazil
E-mail: sober@sober.org.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] Source: Established by the authors from RAIS data (Brasil, 2016Brasil. Ministério do Trabalho. (2016). Bases estatísticas RAIS e CAGED. Brasília: Programa de Disseminação das Estatísticas do Trabalho – PDET. Retrieved in 2016 December 15, from http://pdet.mte.gov.br/solicitacao-de-acesso-online.
http://pdet.mte.gov.br/solicitacao-de-ac... ).

Input indicator	Component 1	Component 2	Component 3
LQ	$α'_{11} \equiv \frac{\|α_{11}\|}{C_{1}}$	$α'_{12} \equiv \frac{\|α_{12}\|}{C_{2}}$	$α'_{13} \equiv \frac{\|α_{13}\|}{C_{3}}$
RP	$α'_{21} \equiv \frac{\|α_{21}\|}{C_{1}}$	$α'_{22} \equiv \frac{\|α_{22}\|}{C_{2}}$	$α'_{23} \equiv \frac{\|α_{23}\|}{C_{3}}$
HHm	$α'_{31} \equiv \frac{\|α_{31}\|}{C_{1}}$	$α'_{32} \equiv \frac{\|α_{32}\|}{C_{2}}$	$α'_{33} \equiv \frac{\|α_{33}\|}{C_{3}}$