Efficiency and productivity to social welfare
The case of the main forestry-producing micro-regions in Brazil
Bibliographic Data
| ID | 4011295 |
|---|---|
| Authors | Jessica Suarez Campoli (0000-0003-0917-5109, Universidade de São Paulo), Paulo Nocera Alves Junior (0000-0002-8906-788X, Universidad Católica del Norte), Tatiana Kimura Kodama (0000-0002-8583-6469, Universidade de São Paulo), Marcelo Seido Nagano (0000-0002-0239-1725, Universidade de São Paulo), Heloisa Lee Burnquist (0000-0001-9856-0118, Universidade de São Paulo) |
| Year | 2024 |
| Volume | 62 |
| Issue | 4 |
| Publication date | 2024-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista de Economia e Sociologia Rural (JOURNAL) |
| Journal identifiers | ISSN: 0103-2003 • E-ISSN: 1806-9479 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/1806-9479.2023.276680 |
| OpenAlex | W4404907328 |
| SCIELO_PID | S0103-20032024000400237 |
| Language | EN |
| References cited | 41 |
The studies on the forest sector focus on energy issues and environmental challenges, but they are limited to a small number of studies focused on economic growth and social welfare. In the forest sector, Brazil is among the five countries with large forest cover in the world, with favorable conditions and great potential for production growth. Therefore, this work aimed to measure the evolution of efficiency and productivity of the 49 Brazilian forestry microregions in converting the expansion of economic growth into social welfare from 2009 to 2015 (a period of sectoral growth in the country). The approach of the Slack-Based Measure (SBM) - Data Envelopment Analysis (DEA), Malmquist Productivity Index (MPI), and Windows Analysis model was combined, followed by a solution for infeasibility problems. The results show that the growth of the forestry sector was not accompanied by the Human Development Index (HDI) in most of the microregions, showing regional and state differences, with the microregions close to the sensitive environmental areas with the lowest HDI. Thus, the work contributes to the design of public policies and government decision-making to increase the sector's efficiency and productivity and to social indicators that can guide sustainable policies in other contexts and countries
Agribusiness · Agricultural economics · Agriculture · Business · Economic growth · Economics · Geography · Market economy · Natural resource economics · Political science · Productivity · Social Welfare · Welfare · Agricultural and Food Sciences · Efficiency Analysis Using DEA · Forestry · Rural Development and Agriculture
A slacks-based measure of super-efficiency in data envelopment analysis
Amazon Tipping Point
Measuring the efficiency of decision making units
The Measurement of Productive Efficiency
A slacks-based measure of efficiency in data envelopment analysis
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
The Spatiotemporal Evolution and Influencing Factors of the Chinese Cities’ Ecological Welfare Performance
Two-Stage Super-Efficiency Slacks-Based Model to Assess China’s Ecological Wellbeing
Measuring Regional Eco-Efficiency in China (2003–2016)
Sustainable development of China's regions from the perspective of ecological welfare performance
Factors Affecting Public Expenditure Efficiency in Developed Countries
G20 countries’ progress on the 7th SDG under circular economy DEA model
The roads ahead
Chile
The effects and time lags of R&D spillovers in Brazil
Malmquist Productivity Indexes and Fisher Ideal Indexes
Avaliação das pesquisas e inovações tecnológicas ocorridas na silvicultura e na produção industrial de celulose no Brasil
| Citation velocity | historical |
|---|---|
| Highly cited | No |