Applying Data Envelopment Analysis and Grey Model for the Productivity Evaluation of Vietnamese Agroforestry Industry

Wang, Chia–Nan; Lin, Han-Sung; Hsu, Hsien-Pin; Le, Van-Tinh; Lin, Tsung-Fu

doi:10.3390/su8111139

Cited by 25 publications

(13 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Martinho Vítor João Pereira Domingues and Ferreira António José Dinis (2020) explored indicators related to forest management, including land, employment, output, and net emissions, in order to obtain a forest sustainability index through factor analysis, and they found that forest indicators revealed a strong relationship between forest land, employment, and output, which is a significant support for the points of this paper [16]. Wang Chia-Nan and Lin Han-Sung (2016) proposed a hybrid model, including a grey model (GM) and a Malmquist productivity index (MPI), to assess the output efficiency of Vietnamese agro-forestry enterprises over several time periods, which verified the applicability of temporal analysis of output efficiency in forestry in this paper [17]. Yu Xiaohui and Ma Sai (2020) proposed an evaluation system for sustainable urban spatial development and applied the system to evaluate urban spatial development in Qin-Ba, Shangluo, and Qin-Ling mountain areas, where forestry played a leading role in boosting socioeconomic development and environmental protection, and the research results provided an important theoretical reference for the spatial research on forestry output in this paper [18].…”

Section: Introductionsupporting

confidence: 76%

Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

2021

View full text Add to dashboard Cite

Forestry output efficiency is key to forestry development. China is now promoting the development of forestry, and thus the research on forestry output efficiency is of practical significance. Through the data envelopment analysis (DEA)-Malmquist index, spatial autocorrelation model, and fixed effect model of panel data, in this study, we analyzed the forestry output efficiency of China with indicators, such as the fixed asset input, employed personnel, total output value, and timber output, and drew the following conclusions. In the time series, the forestry total-factor productivity (TFP) in China saw a rapid increase, which is attributed to the technological progress change (TC), whereas the efficiency change (EC) imposed negative influences upon the forestry TFP. In the spatial distribution, there was a difference in the increase in the forestry output efficiency among the eastern, central, and western regions of China, with the eastern region having the fastest growth and the central region having the slowest growth. According to the spatial autocorrelation, there was spatial aggregation (high–high (HH) and low–low (LL)) with a significant positive correlation. Through the optimized fixed effect regression model, the fixed asset input, employed personnel, total output value, and timber output all had significant influences on the comprehensive technical efficiency of the forestry output, wherein the input indicators had negative influences, and the output indicators had positive influences.

show abstract

Section: Introductionsupporting

confidence: 76%

Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

2021

View full text Add to dashboard Cite

show abstract

“…Based on the correlation matrix in Table A3 , in the Appendix A , all variables have significant positive correlations, above 0.79 in 2008 and above 0.60 in 2016. Like Wang et al [ 50 ] and also following the protocol of Dyson et al [ 51 ] on correlated factors and the pitfall of omitting variables in the context of measuring efficiency, we kept all resources and products variables.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the Efficiency of Basic Sanitation Integrated Management in Brazilian Municipalities

Cavalcanti

Teixeira

Pontes

2020

IJERPH

View full text Add to dashboard Cite

This study aims to evaluate the level of technical efficiency of companies that perform the integrated management of basic sanitation in Brazilian municipalities. A Multiple Data Envelopment Analysis (M-DEA) model was applied to estimate the performance of water supply and sewage services in 1628 municipalities covering more than 56% of the Brazilian population, identifying the factors that most influence the efficiency of the sector in the years 2008 and 2016. The M-DEA methodology is an extension of Data Envelopment Analysis (DEA) with multiple DEA executions considering all combinations of inputs and outputs to calculate efficiency scores. The methodology reduces possible biases in the selection of resources and products of the model, ability to support decision-making in favor of improvements in the sector′s efficiency based on national regulatory framework. The analyses show that the companies analyzed can increase their operating results and attendance coverage by more than 60%, given the current levels of infrastructure, human and financial resources in the sector. Based on the simulation of potential efficiency gains in Brazilian basic sanitation companies, the estimates show that the coverage of the population with access to sanitary sewage would go from the current 59.9% to 76.5%. The evidence found provides indications to subsidize sanitation management in the country at the micro-analytical level, enabling a better competitive position in the sector for the integrated management of basic sanitation and its universalization in Brazil.

show abstract

“…In addition to this, if the change in efficiency is equal to 1, it represents no change. Further, if the change in efficiency is less than 1, it means that the DMUs have displayed an inefficient behavior [47]. In regard to the efficiency change displayed by different countries, the catch effect indicates the value needed by particular DMU to improve its productivity.…”

Section: Catch-up Effectmentioning

confidence: 99%

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Wang

2019

Sustainability

View full text Add to dashboard Cite

Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing countries to explore its impact and decision making for sustainable economic growth. The study uses a case study methodology whereby FDI, exchange rate, and CSR expenditure data from 20 countries were used to assess the efficiency in sustainable economic growth. Data were collected from the World Bank for 20 Asian and African developing countries during 2012–2017 and analyzed using GM (1,1), mean absolute percentage error (MAPE), Malmquist productivity index (MPI)-data envelopment analysis (DEA), and the slacks-based measure of efficiency (SBM) model. Correlation analysis is used to find the relationship for FDI, CSR, exchange rate, gross domestic product (GDP), and GDP per capita (GDPPC). The results of the Malmquist productivity index and the frontier effect clearly highlight that a few countries have witnessed a great improvement in terms of productivity and technological progression. Therefore, the decision makers must adopt the model of those countries with respect to sustainable development of the nation. This study helps developing nations as well as researchers to benchmark efficient countries and follow their strategies to develop a new one for utilizing FDI and CSR spending in sustainable economic development. The study also helps policy makers in multi criterion application of FDI and CSR for decision making in economic development.

show abstract

Applying Data Envelopment Analysis and Grey Model for the Productivity Evaluation of Vietnamese Agroforestry Industry

Cited by 25 publications

References 25 publications

Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

Evaluation of the Efficiency of Basic Sanitation Integrated Management in Brazilian Municipalities

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Contact Info

Product

Resources

About