Performance heterogeneity and strategic orientation: An analysis of small farmers of an agrarian reform project in Brazil

Filho, Hildo Meirelles de Souza; Carrer, Marcelo José; Saes, Maria Sylvia Macchione; Gomes, Leonardo Augusto de Vasconcelos; Nicolella, Alexandre Chibebe

doi:10.1016/j.landusepol.2019.04.018

Cited by 8 publications

(2 citation statements)

References 44 publications

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“…A total of 72% of articles reported a quantitative approach, among which 16% used statistical techniques to solve the problems [16][17][18][19][20][21][22][23]. Computational techniques were used in 28% [8,[24][25][26][27][28][29][30][31][32][33][34][35][36][37]; multicriteria techniques were used in 22% [38][39][40][41][42][43][44][45][46][47][48]; literature review, a qualitative approach, was used in 28% [49][50][51][52][53][54][55][56][57][58][59][60][61][62]; and other types were used in 6% [63]…”

Section: Selection Of the Theoretical Frameworkmentioning

confidence: 99%

“…Computational techniques were used in 28% [8,[24][25][26][27][28][29][30][31][32][33][34][35][36][37]; multicriteria techniques were used in 22% [38][39][40][41][42][43][44][45][46][47][48]; literature review, a qualitative approach, was used in 28% [49][50][51][52][53][54][55][56][57][58][59][60][61][62]; and other types were used in 6% [63][64][65], Table 3. A total of 72% of articles reported a quantitative approach, among which 16% used statistical techniques to solve the problems [16][17][18][19][20]…”

Section: Selection Of the Theoretical Frameworkmentioning

confidence: 99%

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Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation

2023

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Rural credit policies have a strong impact on food production and food security. The attribution of credit policies to agricultural production is one of the main problems preventing the guarantee of agricultural expansion. In this work, we conduct family typology analysis applied to a set of research data to characterize different regions. Through genetic programming, a model was developed using user-defined terms to identify the importance and priority of each criterion used for each region. Access to credit results in economic growth and provides greater income for family farmers, as observed by the results obtained in the model for the Sul region. The Nordeste region indicates that the cost criterion is relevant, and according to previous studies, the Nordeste region has the highest number of family farming households and is also the region with the lowest economic growth. An important aspect discovered by this research is that the allocation of rural credit is not ideal. Another important aspect of the research is the challenge of capturing the degree of diversity across different regions, and the typology is limited in its ability to accurately represent all variations. Therefore, it was possible to characterize how credit is distributed across the country and the main factors that can influence access to credit.

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Section: Selection Of the Theoretical Frameworkmentioning

confidence: 99%

Section: Selection Of the Theoretical Frameworkmentioning

confidence: 99%

Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation

2023

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Impact of government support policies on entrepreneurial orientation and SME performance

Prasannath,

Adhikari,

Gronum

et al. 2024

Int Entrep Manag J

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Small and medium enterprises (SMEs) are often resource-constrained and motivated by necessity or opportunity. They play an essential role in national economies due to their contributions to employment, human capital development, knowledge spillovers, and social mobility in maintaining diverse entrepreneurial ecosystems. Government support policies (GSP), both financial and nonfinancial, can directly impact SME performance or indirectly by developing an entrepreneurial orientation (EO). Few studies have investigated the important question of how GSP simultaneously may impact both the EO and the performance of an SME. Thus, this paper aims to identify the current understanding of how different forms of GSPs relate to and impact the EO and the performance of SMEs. A systematic literature review was conducted using the PRISMA methodology to synthesize this understanding, resulting in 65 relevant articles from the ABI/INFORM, ScienceDirect, Scopus and Web of Science databases. The relationships between the constructs were analyzed using thematic and semantic analyses, employing computer-assisted data analysis software (NVivo 12 and Leximancer 4.5). This resulted in the categorization of GSPs as direct and indirect support policies, with financial and nonfinancial-subcategories, and depicted their pathways of influence on SMEs’ EO and performance. The study found that GSPs have four different pathways by which they can impact performance. Both direct and indirect policies have moderating effects that can magnify the impact of EO on performance. The review established that the direct effect of GSP on EO varies by sector, SME growth-intention, and type of GSP. Based on the findings, we recommend policymakers develop support policies tailored to SMEs’ specific sector and its intentions to enhance performance.

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The effect of meso-institutions on adoption of sustainable agricultural technology: A case study of the Brazilian Low Carbon Agriculture Plan

Vinholis

Saes

Carrer

et al. 2021

Journal of Cleaner Production

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Performance heterogeneity and strategic orientation: An analysis of small farmers of an agrarian reform project in Brazil

Cited by 8 publications

References 44 publications

Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation

Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation

Impact of government support policies on entrepreneurial orientation and SME performance

The effect of meso-institutions on adoption of sustainable agricultural technology: A case study of the Brazilian Low Carbon Agriculture Plan

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