scholarly journals Investigating the Effect of Insurance on the Total Productivity of Agricultural production Factors: Analysis Based on Index Number Approach

2021 ◽  
Vol 2 (1) ◽  
pp. 231-250
Author(s):  
Morteza Tahamipour ◽  
Mohammad Reza Zaker ◽  
Masoud Abdollahi
Keyword(s):  
Agricultural Production ◽  
Index Number ◽  
Factors Analysis ◽  
Production Factors ◽  
Total Productivity

On the diversity of the effects of the state support for agriculture

2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova
Keyword(s):  
Agricultural Production ◽  
The State ◽  
Russian Regions ◽  
Negative Effects ◽  
State Support ◽  
Soft Budget Constraints ◽  
Institutional Conditions ◽  
Positive Effects ◽  
Production Factors ◽  
Corporate Farms

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.

Tools for econometric modeling of agricultural production factors

2021 ◽  
pp. 11-20
Author(s):  
Igor Alexandrovich Katsko ◽  
Alexey Mikhailovich Lyakhovetsky ◽  
Viktor Ivanovich Pertsukhov
Keyword(s):  
Agricultural Production ◽  
Econometric Modeling ◽  
Production Factors

ASSESSMENT OF PRODUCTION FUNCTIONS AND ANALYSIS OF THE IMPACT OF PRODUCTION FACTORS ON THE MAIN INDICATORS AGRICULTURE OF THE REPUBLIC OF DAGESTAN

2020 ◽  
Vol 4 (12) ◽  
pp. 38-42
Author(s):  
N. M. CHAPAEV ◽  
Keyword(s):  
Agricultural Production ◽  
Factor Models ◽  
Production Functions ◽  
Agricultural Enterprises ◽  
Republic Of Moldova ◽  
Production Factors ◽  
Different Types ◽  
The Republic ◽  
The Impact ◽  
The Relationship

This article assesses the relationship and dependence between the main economic indicators of agricultural enterprises of the Ministry of agriculture of the Republic of Moldova for different years, models of production functions of different types are constructed. The parameters and characteristics for two-factor models expressing the dependence of agricultural production on the number of people employed in agriculture are given.

scholarly journals Squandering in Ethic Economics: Consumer and Producer Behaviors Analysis

2019 ◽  
Vol 3 (2) ◽  
pp. 30-41
Author(s):  
Bijan Bidabad
Keyword(s):  
Consumer Behavior ◽  
Optimal Allocation ◽  
Economic Behavior ◽  
Consumption Pattern ◽  
Preference Ordering ◽  
Knowledge Based ◽  
Economic Progress ◽  
Production Factors ◽  
Leisure Behavior ◽  
Total Productivity

Purpose: This paper investigates the effects of squandering on the economic behavior of consumer and firm. Moreover, we analyze consumer work-leisure behavior from the squandering viewpoint. Findings: Commodity squandering creates no utility for the consumer. Just the "(real) consumption (usage)" satisfies the preference ordering rules of consumer behavior and the "squandered" commodities do not satisfy these rules. Definitionally, consumption is equal to "real usage" plus "squandered" commodities. Thence, the consumer will lose some parts of her utility because of squandering (because of lost resources). The amount of lost income resources due to squandering should be recompensated by more works to preserve the consumer's welfare constant. Squandering effects in total productivity, non-optimal allocation of production factors, product wastage, and product decay are analyzed as less productivity and less supply of products due to squandering. According to this analysis, theoretically, it can be concluded that squandering will decrease the leisure and its corresponding utility of human being. Social implications: If the ethic economics' doctrine affects the consumption pattern, this process will moderate consumption. Otherwise, the society will move toward exploiting all of her capital to: "just produce-just consume". The latter will be intensified by knowledge-based economic progress.  JEL: D11, D21, Z12, D19, D24 DOI: https://doi.org/10.5281/zenodo.3402339          

scholarly journals The impact of structural social capital on farm income in the Czech Republic 

2012 ◽  
Vol 52 (No. 6) ◽  
pp. 281-288 ◽  
Author(s):  
A. Wolz ◽  
J. Fritzsch ◽  
J. Pencáková
Keyword(s):  
Social Capital ◽  
Czech Republic ◽  
Agricultural Production ◽  
Planning System ◽  
Farm Income ◽  
The Czech Republic ◽  
Production Factors ◽  
Corporate Farms ◽  
The One ◽  
The Impact

The change of the economic system from the socialist central planning system to the market economy required the reorganisation not only of agricultural production, but also of the organisations supporting it. In the Czech Republic, agricultural production is characterised by a dualistic structure, i.e. private farmers on the one side and corporate farms on the other. However, among both groups some had been economically more successful than others. In general, a varying adoption of production factors, i.e. land, labour and capital is identified as being of influence. Namely, their ability to collaborate with other farms which is discussed under the concept of social capital, will be analysed in this paper. Based on the findings of a survey among a sample of 62 farms by adopting factor and multiple regression analysis, it can be deduced that social capital is indeed a significant factor determining farm income. 

MEASURING THE ECONOMIC EFFICIENCY AND TOTAL PRODUCTIVITY OF RESOURCE AND THE TECHNICAL CHANGE OF AGRICULTURAL COMPANIES IN IRAQ USING SFA AND DEA FOR THE PERIOD 2005-2017

2020 ◽  
Vol 51 (4) ◽  
pp. 1104-1117
Author(s):  
Ali & Lafta
Keyword(s):  
Technological Change ◽  
Economic Efficiency ◽  
Agricultural Production ◽  
Stochastic Frontier Analysis ◽  
Agricultural Sector ◽  
Rate Of Change ◽  
Advanced Technology ◽  
Likelihood Method ◽  
Frontier Analysis ◽  
Total Productivity

The research aims to measure the economic efficiency and technological change and the total productivity of resources using the parameter and non-parameter methods, for agricultural companies registered in the Iraqi stock exchange, the number of 6 companies for the period from 2005 to 2017 based on the hypothesis that the  agricultural companies do not achieve economic efficiency and does not control the management of its operations, and It may be technically efficient but the size of its operations is not optimal. From non-parametric methods, the data envelope analysis method was used. Using the DEAP program, the Middle East Company achieved the highest average technical and cost efficiency of 0.62 and 0.58, respectively. The Iraqi seed production company achieved the highest average efficiency of 0.66. Using Al- Malmquist Index, the National Company for Agricultural Production achieved the highest rate of change in the total productivity of resources and the highest change in the technical efficiency respectively 1.97 and 2.28, while the Modern company for agricultural production obtained the highest technological change averaging 1.14. A stochastic frontier analysis (SFA) technique was used; logarithmic TL function was estimated using FRONT software. The maximum likelihood method (ML) shows that the capital was increased by 1%, the value of production of companies will increase by 0.22% because it helps to take advantage of the advanced technology that these companies are supposed to work to localize and support the agricultural sector. The cross-elasticity between labor and capital was 0.67 which indicates the nature of the substitution relationship between the two items, because using the technology reduces the workers. The value of sigma-squared was 0.21.

scholarly journals Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

2020 ◽  
Vol 17 (3) ◽  
pp. 706
Author(s):  
Warren Dodd ◽  
Marvin Gómez Cerna ◽  
Paola Orellena ◽  
Sally Humphries ◽  
Margaux L. Sadoine ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Insecurity ◽  
Agricultural Production ◽  
Negative Binomial ◽  
Extreme Weather Events ◽  
Small Scale ◽  
Negative Binomial Regression Model ◽  
Subsistence Agriculture ◽  
Production Factors ◽  
The Relationship

In the context of climate change, a nutritional transition, and increased pressures to migrate internally and internationally, this study examined the relationship between seasonal food insecurity and demographic, socioeconomic, and agricultural production factors among small-scale subsistence farmers in rural northern Honduras. Anchored by a partnership with the Fundación para la Investigación Participativa con Agricultores de Honduras (FIPAH) and the Yorito Municipal Health Centre, a cross-sectional household survey was administered in Yorito, Honduras, in July 2014. The study population included 1263 individuals from 248 households across 22 rural communities. A multivariate mixed effects negative binomial regression model was built to investigate the relationship between the self-reported number of months without food availability and access from subsistence agriculture in the previous year (August 2013–July 2014) and demographic, socioeconomic, and agricultural production variables. This study found a lengthier ‘lean season’ among surveyed household than previously documented in Honduras. Overall, 62.2% (95% confidence interval (CI): [59.52, 64.87]) of individuals experienced at least four months of insufficient food in the previous year. Individuals from poorer and larger households were more likely to experience insufficient food compared to individuals from wealthier and smaller households. Additionally, individuals from households that produced both maize and beans were less likely to have insufficient food compared to individuals from households that did not grow these staple crops (prevalence ratio (PR) = 0.83; 95% CI: [0.69, 0.99]). Receiving remittances from a migrant family member did not significantly reduce the prevalence of having insufficient food. As unpredictable crop yields linked to climate change and extreme weather events are projected to negatively influence the food security and nutrition outcomes of rural populations, it is important to understand how demographic, socioeconomic, and agricultural production factors may modify the ability of individuals and households engaged in small-scale subsistence agriculture to respond to adverse shocks.

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