scholarly journals Eco-Efficiency and Human Capital Efficiency: Example of Small- and Medium-Sized Family Farms in Selected European Countries

2021 ◽  
Vol 13 (12) ◽  
pp. 6846
Author(s):  
Jan Polcyn

Small- and medium-sized family farms are places to live and sources of income for about half of the population. The aim of this analysis was to determine the relationship between eco-efficiency and human capital efficiency on small- and medium-sized family farms. The analysis was carried out using an economic measure (value of agricultural production per work hour calculated per hectare) and two synthetic measures (human capital and environmental measures). The synthetic measures were determined using the TOPSIS-CRITIC method by defining weights for variables used in the measures. The analysis covered five countries: Lithuania (960 farms), Moldavia (532 farms), Poland (696 farms), Romania (872 farms) and Serbia (524 farms). All of these countries are characterised by a high fragmentation of agricultural holdings. The analysis allowed us to formulate the following conclusions: eco-efficiency and human capital efficiency indices increased with area for small- and medium-sized family farms. An increase in the eco-efficiency index with an increase in farm area suggests that the smaller the farm area, the more extensive the agricultural production that was carried out. In addition, an increase in human capital efficiency with an increase in farm area indicates that there was inefficiency in the utilisation of human capital resources on the agricultural farms studied.

Author(s):  
Jan Polcyn

Small and medium-sized family farms are the place of life and source of income for about half of the population. The aim of the analysis was to determine the relationship between Eco-Efficiency, Human Capital Efficiency in small and medium-sized family farms. The analyses were carried out using an economic measure (value of agricultural production per work hour calculated per 1 ha) and synthetic measures: human capital and environmental measures. The synthetic measures were determined using the CRITIC-TOPSIS method by defining weights for variables used in the synthetic measures. The analyses covered five countries, namely: Lithuania (960 farms), Moldova (532 farms), Poland (696 farms), Romania (872 farms), and Serbia (524 farms). All the countries qualified for analysis are characterised by a high fragmentation of agricultural holdings. The analyses carried out allowed us to formulate the following conclusions: the Eco-Efficiency and Human Capital Efficiency indexes increase with area for small and medium-sized family agricultural farms. An increase in the Eco-Efficiency index with an increase in farm area leads to a suspicion that the smaller the farm area is, the more extensive the agricultural production being carried out. In addition, an increase in human capital efficiency with an increase in the area of a farm indicates that there is inefficiency in the utilisation of human capital resources in the agricultural farms studied.


Author(s):  
B.A. Voronin ◽  
◽  
I.P. Chupina ◽  
Ya.V. Voronina ◽  
◽  
...  

The article discusses a non-standard view of the formation of human capital for work in organizations of the agricultural sector of the economy, in the context of modern socio-economic transformations. In the classical sense, human capital for agriculture should be formed and developed in rural areas. But in real life, this is not always the case, because there are many factors that prevent the classical solution of this problem. First, the demographic factor affects, second, social and household factors, and third, in many rural areas there are no working agricultural organizations where qualified agricultural specialists can work. All these and other circumstances actualize the problem of the quality of human capital in rural areas in relation to the development of agricultural production.


Author(s):  
Janeth N. Isanzu

This study examines intellectual capital (IC) performance of banks operating in Tanzania,and investigates the relationship of IC on financial performance. It identifies the IC componentsthat may be the drivers of the traditional indicators of bank success. The study uses the ValueAdded of Intellectual Coefficient VAIC™ methodology, to measure the Intellectual Capitalefficiency of the Banks using a four years period data set from 2010 to 2013. The results of asurvey, show that intellectual capital performance of Tanzania is low and it is positively associatedwith bank financial performance indicators. However, when VAIC is split into its components, therelationships between these components and bank financial performance indicators vary. Threevalue efficiency indicators, Human Capital Efficiency (HCE), Capital Employed Efficiency (CEE) andStructural Capital Efficiency (SCE) which are the components of VAIC™ ratio, were used in theanalysis.


Author(s):  
Azlina Rahim ◽  
Amrizah Kamaluddin ◽  
Ruhaya Atan

The purpose of this study is to investigate empirically the relationship between human capital efficiency and financial performance of Malaysian public companies. Using accounting data, this study reviewed the annual reports of Malaysian companies for a period of thirteen years from 2000 to 2012. The study applied Value Added Intellectual Coefficient (VAICTM) methodology developed by Ante Pulic to determine the human capital efficiency of a company. The regression models was construct to examine the relationship between human capital efficiency and financial performance measures including return on assets (ROA) and return on equity (ROE).The results revealed that human capital efficiency has significant and positive relationships with financial performance. The human capital efficiency is seen as a value driver for a company’s competitiveness. Hence, the findings of this study should help companies’ managers to make better decision pertaining to investment of their strategic asset that is human capital.


Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1218
Author(s):  
Yao Wei ◽  
Fanglei Zhong ◽  
Xijing Luo ◽  
Penglong Wang ◽  
Xiaoyu Song

Oasis agriculture in arid areas faces the constraints of scarce resources and a fragile ecological environment. Improving agricultural production efficiency is the key solution. However, there are few studies analyzing the relationship between farmers’ production efficiency and planting scale from a micro-empirical perspective. Herein, we study the seed-producing corn growers in Zhangye city, and supplement special survey data with national input–output survey data. We use data envelopment analysis to measure agricultural production efficiency, and tobit regression to calculate the marginal effects of factors affecting production efficiency on farms of different scales. The results show that production efficiency is greater for large-scale farmers than for small-scale farmers. Duration of technical training, education time of laborers, planting income, and productive expenditure are significantly positively correlated with production efficiency. Average age of farmers and the amount of pesticide and fertilizer use are significantly negatively correlated with production efficiency. Off-farm activities improve the production efficiency of small-scale farmers but inhibit it for medium- and large-scale farmers. Differences exist in marginal impacts for different scales of farmland. We conclude that expanding the scale of family farms and optimizing human capital are effective for improving agricultural production efficiency in arid oasis areas.


2019 ◽  
Vol 11 (23) ◽  
pp. 6582 ◽  
Author(s):  
Xu ◽  
Haris ◽  
Yao

The purpose of this study is to determine and compare the relationship between intellectual capital (IC) and banks’ performance in China and Pakistan. The data are acquired from listed banks in these two countries during 2010–2018. The Value Added Intellectual Coefficient (VAIC™) method is applied as a measure of IC. The results show that capital employed efficiency (CEE) makes the highest contribution to bank performance in both countries. In addition, the profitability of listed Chinese banks is driven by structural capital efficiency (SCE), while human capital efficiency (HCE) positively affects bank profitability and productivity in Pakistan. In addition, we find that the lagged effect of IC has a positive impact on future bank profitability. This study supports greater investment in IC in order to further improve bank performance in emerging Asian markets.


2019 ◽  
Vol 20 (6) ◽  
pp. 784-806 ◽  
Author(s):  
Leena Afroz Mostofa Chowdhury ◽  
Tarek Rana ◽  
Mohammad Istiaq Azim

Purpose The purpose of this paper is to, the first of its kind, investigate the relationship between the intellectual capital efficiency and organisational performance of the pharmaceutical sector in Bangladesh, an emerging economy that enjoys Trade-Related Aspects of Intellectual Property Rights (TRIPS) relaxation. Design/methodology/approach The study used hand-picked data from annual reports for five years. The relationship between efficient use of intellectual capital and corporate performance was examined through the practical use of human capital, structural capital and capital employed. Multiple regressions were used to assess their impact on financial performance – specifically, return on assets, return on equity, asset turnover and market-to-book value. Findings Value-added intellectual coefficient components (i.e. human capital, structural capital and capital employed) significantly explained asset turnover and return on assets but failed to predict the return on equity outcome. Additionally, asset turnover was negatively influenced by structural capital and positively influenced by capital employed. The return on assets was mostly affected by variation in human capital. Intellectual capital did not predict market-to-book value or investment decisions. Practical implications This paper provides useful resources for evaluating the financial performance and value creation of companies in emerging economies that enjoy TRIPS exemptions; this research could also be extended using cross-industry comparisons. The findings have theoretical and practical implications, particularly for the pharmaceutical industry in emerging economy contexts, and for managers globally. Originality/value This study is among only a few that have reported on the relationship between intellectual capital efficiency and value creation in emerging economy contexts.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amina Buallay ◽  
Ala’a Adden Abuhommous ◽  
Gagan Kukreja

PurposeThe purpose of this paper is to establish the relationship between intellectual capital (IC) and employees' productivity (EP) in the Gulf Cooperation Council (GCC) region.Design/methodology/approachThe value-added intellectual coefficient (VAIC) is used to measure IC performance in 198 firms listed in Saudi Arabia and Bahrain from 2012 to 2014. The pooled-corrected estimation technique is used to estimate a panel regression model with EP as the dependent variable. Firm size and sectors are controlled for in the regression analysis. The independent variable (IC) has been measured using human capital efficiency (HCE), structural capital efficiency and capital employed efficiency (CEE) in order to measure the value of IC.FindingsBased on the VAIC, the authors found that the values of IC investments are mostly generated from investments in human capital. The results of the panel-corrected ordinary least square indicate that VAIC and its individual components are positive and significantly related to variations in employees' productivity. HCE contributed the highest and CEE contributed lowest VAIC.Originality/valueThe originality of this paper is to show the importance of investment in the human capital as a key contributor of firm's performance. Hence, this study encourages firm's leaders and management in the GCC to invest and focus their management/leadership styles on human capital to achieve their goals. To the best of the knowledge of the coauthors, this is the first study which empirically examines the relationship between IC and EP in the GCC region.


2020 ◽  
Vol 9 (4) ◽  
pp. 44
Author(s):  
Afnan Alturiqi ◽  
Khamoussi Halioui

The purpose of this study is to empirically investigate the relationship between intellectual capital (IC) measured by the value-added intellectual coefficient (VAIC) and firms’ performance (FP) in the Saudi context. Data are drawn from a sample of 25 Saudi firms listed on the Saudi Stock Exchange (Tadawul) for the period 2015-2018. Using the VAIC model, the multiple linear regression models were constructed to examine the relationship between intellectual capital (IC) and firms’ performance (measured in terms of financial and market performance). The findings indicate that there is a positive association between overall intellectual capital efficiency as well as each of its three components (human capital efficiency, structural capital efficiency, capital employed efficiency) and the firms’ financial performance. Additionally, there is a positive association between human capital efficiency(HCE), structural capital efficiency (SCE), and the firms’ market performance. Overall, the findings suggest that human capital efficiency (HCE) has a significant and positive impact on firms’ financial and market performance in Saudi Arabia. The VAIC method may be a useful tool for managers and investors in their decision process. This is the first study about the impact of intellectual capital on firms’ performance in four industry groups in Saudi Arabia using the VAIC model.


2021 ◽  
Vol 66 (4) ◽  
pp. 467-481
Author(s):  
Ilona Ida Balog

This paper wishes to contribute to the examination of the relationship between human capital and economic growth. Human capital is measured by the average number of finished schooling years and its effect on economic growth is estimated on novel data in European countries. Data from the period between 2014 and 2019 show a negative coefficient for schooling years. In eastern countries in the analysis economic growth is generally higher than in Western-European countries. Economic growth in Hungary is higher than the estimated value explained by the analysed variables. The negative coefficient means that human capital measured by the number of schooling years does not accelerate economic growth any more, and further reforms of the education systems are needed in order to use human capital more efficiently.


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