Public investment, competitiveness and development: a study into Brazilian tourism destinations

Vieira, Daniel Pires; Hoffmann, Valmir Emil; Alberton, Anete

doi:10.1590/0034-7612174959

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Article • Rev. Adm. Pública 52 (5) • Sep-Oct 2018 • https://doi.org/10.1590/0034-7612174959 copy

Public investment, competitiveness and development: a study into Brazilian tourism destinations

Inversiones públicas, competitividad y desarrollo: un estudio en destinaciones turísticas brasileñas

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

This paper analyzes the efficiency of federal government funding for destination competitiveness and the relationship among destination competitiveness enhancement and local development. Destination competitiveness models provide the theoretical background. The research is exploratory and descriptive. We mapped the investments from Brazilian Ministry of Tourism in 65 destinations. Destination Competitiveness was measured with information from the Brazilian Competitiveness Model. Data were analyzed with data envelopment analysis and multiple regression analysis. Study findings demonstrate that competitiveness enhancement does not depend on the amount of funding, but on its strategic application according to destination development stage. Besides, competitiveness dimensions Marketing, Monitoring, and Cooperation are major drivers for local development.

Keywords:
destination management; competitiveness; tourism; efficiency

Destination	Technical Efficiency	% Invested					Competitiveness Classification¹
Destination	Technical Efficiency	Infra	T&Q	M&P	DM	R&S	2008	2010
Angra dos Reis	0.949	72.22	27.78	0	0	0	S	S
Bonito	0.916	100	0	0	0	0	S	S
Caldas Novas	0.566	90.11	0	9.89	0	0	S	S
Cuiabá*	0.716	37.99	0	61.08	0.93	0	S	A
Curitiba*	0.773	20.35	37.88	32.12	8.45	1.19	A	A
Florianópolis*	0.768	27.82	8.05	58.28	2.57	3.28	A	A
Ipojuca	0.892	100	0	0	0	0	I	S
Macapá*	0.587	45.33	0	5.39	49.28	0	S	S
Palmas*	0.849	65.99	17.44	16.57	0	0	S	S
Paranaguá	0.873	93.55	0	6.45	0	0	S	S
Porto Alegre*	0.907	54.90	9.71	30.75	4.64	0	A	A
Rio Branco*	0.822	97.58	0	2.42	0	0	S	S
Tibau do Sul	0.977	92.08	0	7.92	0	0	S	S
Mean Efficient Destinations		69.07	7.75	17.76	5.07	0.34	-	-
Mean Inefficient Destinations		64.46	5.53	22.10	1.46	0.32	-	-

Variables	Model 1	Model 2	Model 3	Model 4	Model 5
Infrastructure	0,004	0,004	-0,002	-0,002	0,004
Access	0,083	0,086	0,086	0,053	0,075
Services & Equipment	0,188	0,189	0,067	0,164	0,175
Attractions	-0,146	-0,147	-0,146	-0,110	-0,092
Marketing	0,202	0,203	0,206*	0,251*	0,233*
Public Policies	-0,149	-0,150	-0,184*	-0,144	-0,160
Cooperation	0,313**	0,312**	0,307**	0,326**	0,301**
Monitoring	0,254*	0,256*	0,279**	0,232*	0,248*
Economy	0,030	0,028	0,073	0,085	0,017
Entrepreneurship	-0,097	-0,099	-0,182	-0,113	-0,080
Social Aspects	-0,254**	-0,255**	-0,153	-0,202*	-0,215*
Environmental Aspects	0,016	0,016	0,010	-0,027	-0,004
Cultural Aspects	-0,180	-0,183	-0,250**	-0,175	-0,188
Business	-	0,009	-	-	-
Cultural	-	-	-,335**	-	-
Natural	-	-	-	,240**	-
Sun and Sand	-	-	-	-	0,129
R Square	0,490	0,490	0,570	0,537	0,501
Adjusted R Square	0,339	0,324	0,430	0,386	0,339
ANOVA Sig.	0,002	0,003	0	0,001	0,002

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E-mail: rap@fgv.br

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[1] Daniel Pires Vieira - PhD in Business Administration at University of Brasília (UnB), Brazil. E-mail: vieira.pires@gmail.com.