scholarly journals The relationship between crop insurance take-up, technical efficiency, and investment in Hungarian farming

2018 ◽  
Vol 78 (2) ◽  
pp. 275-288 ◽  
Author(s):  
Anna Zubor-Nemes ◽  
József Fogarasi ◽  
András Molnár ◽  
Gábor Kemény

Purpose The purpose of this paper is to investigate the role of crop insurance among Hungarian crop farmers and the responses to the introduction of the two-scheme risk management system. Specifically, first, it examines the economic and environmental factors affecting the willingness of farmers to contract crop insurance. Second, it reveals the relationship between having crop insurance and technical efficiency of crop producing farms. Design/methodology/approach Probit models of panel data are applied to explore the factors of insurance decisions. The relationship between efficiency and insurance is investigated with two-stage data envelopment analysis (DEA) model with double bootstrap using panel data for the 2001 to 2014 period. Findings The results of Probit model estimations show that the education, the size, the indebtedness of crop producing farms and the new two-scheme risk management system are in positive correlation, while the concentration of farming activity are in negative correlation with the crop insurance contracting. The estimations of two-stage DEA model reveal that crop producing farms with an agricultural insurance contract are more efficient than the farmers without using this risk management tool. Originality/value Empirical investigation of the influencing factors of agricultural insurance demand in Hungary and the examination of the relationship between insurance and technical efficiency may contribute to the development of Hungarian risk management system.


2018 ◽  
Vol 48 (9) ◽  
Author(s):  
André Luis Vian ◽  
Christian Bredemeier ◽  
Marcos Alexandre Turra ◽  
Cecília Paz da Silva Giordano ◽  
Elizandro Fochesatto ◽  
...  

ABSTRACT: Biomass production and nitrogen (N) accumulated in wheat shoots may be used for quantifying optimal topdressing nitrogen doses. The objective of this study was to develop and validate models for estimating the amount of biomass and nitrogen accumulated in shoots and the N topdressing dose of maximum technical efficiency in wheat using the normalized difference vegetation index (NDVI) measured by an active optical canopy sensor. Field experiments were carried out in two years and treatments consisted of N doses applied at plant emergence and as topdressing. NDVI, shoot biomass and N accumulated in shoots at the growth stage of six fully expanded leaves and grain yield were evaluated, being determined the topdressing N dose of maximum technical efficiency (DMTE). The NDVI was positively correlated to shoot biomass and N content in shoots and models for the relationship between these variables were developed and validated. The DMTE was negatively correlated with the NDVI value evaluated at the moment of N topdressing application. Thus, NDVI evaluation by an active optical canopy sensor can be used for nitrogen fertilization in variable rate, allowing the adjustment of applied N doses in different areas within a field.


Agribusiness ◽  
2018 ◽  
Vol 34 (4) ◽  
pp. 793-812
Author(s):  
Ana Claudia Sant'Anna ◽  
Jason S. Bergtold ◽  
Aleksan Shanoyan ◽  
Gabriel Granco ◽  
Marcellus M. Caldas

Author(s):  
B. Starr McMullen

This study examines the relationship between motor carrier productivity, marketing strategy, and use of information technology for a sample of U.S. general freight commodity carriers. We use a unique data set containing information on firm marketing strategy and information technology use collected in a survey of Class I and II motor carrier firms (U.S. Department of Transportation, 1999). The measure of productivity used here is the non-parametric Malmquist Index as explained in Grosskopf (1993) and previously applied to general freight motor carriers by McMullen and Okuyama (2000). The Malmquist Index is decomposed into two components: economic efficiency change (EC) and technical efficiency change (TC). A tobit model regression model is used to examine the relationship between firm productivity, marketing strategy, and use of information technology. Information technologies included in the tobit analysis are electronic data interchange (EDI) and satellite communications (SATCOM). We also include firm size, use of owner-operators, and percent unionization as explanatory variables in the tobit regression. Results indicate that use of EDI has a positive and significant impact on economic efficiency (EC). Firms that try to market their product by providing service at the "lowest freight rate" are found to exhibit greater technical efficiency (TC), suggesting that productivity and cost measures that ignore marketing strategy may be biased. Finally, economic efficiency (EC) is found to be significantly greater for firms that are more heavily unionized.


2020 ◽  
Vol 32 (9) ◽  
pp. 591-598
Author(s):  
Saima Bashir ◽  
Muhammad Nasir

Abstract Objectives To estimate technical efficiency scores of District Headquarter Hospitals (DHQHs) for obstetric services and to explore the relationship between the efficiency of DHQHs and the patients’ satisfaction about the quality of services provided. Design, Setting and Participants Data from Health Facility Assessment (HFA) survey is used for efficiency measurement. The data on patient’s perceptions and other control variables are taken from Client Exit Interviews part of the HFA survey. Two-stage residual inclusion, Ordered Logistic Regression and Least square dummy variable techniques are used to investigate the relationship between technical efficiency and patients’ satisfaction level. Main Outcome Measure(s) and Results The average efficiency score for Pakistan’s DHQHs is 0.52, and not a single hospital is fully efficient. Moreover, the relationship between technical efficiency and patients’ satisfaction is found to be negative and statistically significant indicating that an increase in hospital efficiency tends to decrease patients’ satisfaction. The disaggregated analysis reveals that patients’ satisfaction associated with the healthcare provider attitude and communication is more affected by technical efficiency. Conclusion Patients’ satisfaction level is more sensitive to physician’s attitude and communication. This makes sense because the longer the consultation time, the more accurate the diagnosis would be. This, together with a comforting and confident physician, is likely to achieve better patients’ satisfaction.


Author(s):  
Saleem Shaik ◽  
Albert J. Allen ◽  
Seanicaa Edwards ◽  
James Harris

Stochastic frontier analysis, which is used to estimate technical efficiency, is extended to examine the market structure, conduct and performance hypothesis for the U.S. trucking industry. The technical efficiency measure takes into account not only the relationship between inputs used in the production of output, but it also examines the importance of market structure conduct factors to the performance of the firm. An empirical application to U.S. trucking carriers over the period 1994-2003 is examined. Results reveal that average haul, average load, debt-to-equity and market concentration significantly affected technical efficiency. Capital, fixed and variable input variables were significant in the production function equation.


2021 ◽  
Vol 40 (3) ◽  
pp. 79-95
Author(s):  
Vanessa Schaefer ◽  
João Paulo Augusto Eça ◽  
Marcelo Botelho da Costa Moraes ◽  
Amaury José Rezende

Agricultural cooperatives have the main goals of meeting the economic, social and cultural needs of their members. Although they do not seek profits, they must be competitive since they compete with other cooperatives and companies in the market. In this sense, the search for technical efficiency to give cooperatives a better market position contrasts with the difficulty these organizations face in obtaining foreign capital to enable greater investments. There is little empirical evidence, however, of the relationship between financial constraints and technical efficiency in these organizations. According to theoretical assumptions, this relationship could be positive or negative. Thus, this paper analyzes the impact of financial constraints on the technical efficiency of Brazilian agricultural cooperatives. For this, we used two metrics to measure financial constraint and analyzed panel data on 68 Brazilian agricultural cooperatives for the 2005-2014 period. Despite the theoretical predictions, our main results suggest there is no evidence that financial constraints affect technical efficiency. This result can be explained by the characteristics attributed to Brazilian cooperatives, that is, the fact they deal with different commodities (multi-purpose) and do not have strong demand for investments (technology). This paper contributes to the literature both by providing new empirical evidence regarding the relationship between technical efficiency and financial constraints and by introducing a new metric for analyzing financial constraint in the context of cooperatives.


Economies ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
Simone Russo ◽  
Francesco Caracciolo ◽  
Cristina Salvioni

This article aims to evaluate the effect of insurance on production, technical efficiency, and input use of Italian specialised-quality grape growers. A panel instrumental variable stochastic frontier approach is applied over the years 2008–2017 using data from the Farm Accountancy Data Network. The results show the requirement to correct for the endogeneity that stems from insurance adoption. Insurance has an enhancing effect on production and efficiency and reduces the use of intermediate inputs. It suggests that insurance helps to diminish the risk-averse farmers’ suboptimal input use due to the presence of uncertainty. Crop insurance leads risk-averse farmers to behave as if they were risk neutral and employs the profit-maximising input vector. Therefore, by reducing the risks linked to the uncertainty of outcomes, crop insurance leads grape growers to go in the direction of profit maximisation.


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