scholarly journals Factors Affecting the Adoption of Value-added Production on Cow-Calf Farms

1999 ◽  
Vol 31 (1) ◽  
pp. 97-108 ◽  
Author(s):  
Michael P. Popp ◽  
Merle D. Faminow ◽  
Lucas D. Parsch

AbstractFactors that affect the decision to feed or sell calves at weaning are analyzed for Arkansas cow-calf operators. A discrete choice logit model is used to analyze the adoption of value-added cattle production. Farm size, human capital, perception of risk/returns and enterprise diversification are hypothesized to explain this decision. Regional factors and land quality are also accounted for. Operator perceptions towards risk, profitability and facilities were important. Production control and attention to marketing were also significant, but farm size and scale of cattle production had a minimal impact. Effects of human capital and off-farm labor opportunities need further investigation.

1998 ◽  
Vol 2 (2) ◽  
pp. 6
Author(s):  
Carlos Humberto García ◽  
Luz María Calle

<p>Se presentan los resultados de aplicar una metodología rápida y económica para tipificar sistemas de producción bovinos a partir de datos obtenidos de fuentes secundarias. La metodología describe modelos estructurales de producción ganadera y los ubica espacialmente determinando sistemas modales. Para ello se utilizan estadísticas básicas del departamento de Santander (Colombia), que asumen el municipio como unidad de análisis. Se proponen y usan algunas variables para el desarrollo y cálculo de indicadores relacionados con aspectos estructurales de los sistemas de producción, tales como la ocupación y uso de la superficie agropecuaria, la estructura demográfica bovina, el tamaño predial de las fincas, la distribución rural y urbana de la población humana, la vacunación contra la fiebre aftosa y la utilización de pastos mejorados. Mediante técnicas estadísticas de Análisis Multivariado, Correlación Múltiple, Análisis de Componentes Principales y Análisis Jerárquico de Conglomerados fue posible identificar tipologías, calculando matemáticamente sus descriptores. Así, se identifican y describen cuatro tipologías estructurales: bovinos de cría en el modelo de economía campesina, bovinos para producción de carne, bovinos como actividad complementaria de la economía campesina agrícola y bovinos de cría y levante en un modelo pre-empresarial. La ubicación espacial de las tipologías se realizó dentro de subregiones naturales (Zona Fría, Montaña Santandereana, Hoyas de los Ríos Ponce Chica mocha y Suárez y Valle del Magdalena Medio), lo cual condujo a la identificación de doce subgrupos que se priorizaron de acuerdo con su inventario ganadero para una mejor descripción de las tipologías.</p><p> </p><p><strong>Methodological approach for classification of cattle production systems from secondary information sources</strong></p><p>A rapid and low cost methodology was applied to classify cattle production systems using data from secondary sources. This methodology identifies, describes and specially locates modal cattle production systems. Basic information on biophysical and socioeconomical aspects of the department of Santander (Colombia) was used for this purpose, considering the municipality as the unit of analysis. A set of variables was used to calculate structural indicators of the production systems such as: land use in agriculture, structure of the bovine population, farm size, use of improved pastures, foot and mouth disease vaccination records, as well as rural and urban human populations. In order to define and calculate the descriptors for classification of these systems multivariate analysis, multiple correlation, principal components and cluster analysis were applied. Four system s were identified and described: (1) cow-calf owned by small farmers, (2) beef cattle production enterprises, (3) small operations of cow-calf and feeder cattle, and (4) bovines as complement to crop production in small farms. A methodology was developed to locate the above systems under the natural subregions: Cold zones, Santander highlands, Fonce Chicamocha and Suárez basin rivers and Medium Magdalena Valley; thus leading to the identification of 12 subgroups, which were prioritized according to their cattle populations, and as a result provide adequate means to describe beef cattle production systems.</p>


In this paper, primarily the export specialisation pattern of Vietnam has been examined from the perspective of domestic value added exports. In addition, an effort has been made to identify presence of exaggeration in gross exports measures of industries level competitiveness. Empirical findings suggest that the export specialisation of Vietnam has reversed, and there is presence of exaggeration in the estimates of comparative advantage of ‘human capital and technology intensive’ industries that has also caused in ballooning up their shares in gross exports. Such pattern has arisen because intra-industry trade has become increasingly significant in Vietnam. Received 11th March 2019; Revised 17th October 2019, Accepted 20th October 2019


2021 ◽  
Vol 46 (1) ◽  
pp. 24-37
Author(s):  
Arjun K. ◽  
Sanjay Kumar ◽  
A. Sankaran ◽  
Mousumi Das

The present study investigates the impact of human capital, knowledge capital which is a function of human capital, and real exchange rate scenario in explaining long-run industrial total factor productivity (TFP) from 1980 to 2015 on the theoretical basis of the open endogenous growth model. The variables employed in the contemporary study include manufacturing value added (MNVA) as industrial output measure, gross fixed capital formation (GFCF) as a measure of capital and labour input which is measured using employment data. Gross enrolment ratio (GER) is taken as a measure for human capital formation, expenditure on research and development (R&D) as a proxy for knowledge capital, and real exchange rate indicates global economic shocks. The study involves estimating TFP for Industrial Sector during the post-liberalization period by employing Cobb-Douglas production function. The ARDL bounds test technique for cointegration revealed long-run relation among the varying factors studied. The Toda-Yamamoto causality test concluded bi-directional causality running between, R&D expenditure and Industrial TFP which sends a strong signal to the policymakers for a well-framed long-term integrated approach for human & knowledge capital formation which will act as a strong impetus for manufacturing firms to come up in terms of augmenting production and productivity and expanding foreign market horizon. JEL Classification: D24, E2, J24


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.


2020 ◽  
Vol 12 (12) ◽  
pp. 5128
Author(s):  
Tsung-Chun Chen ◽  
Yenchun Jim Wu

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.


2015 ◽  
Vol 18 (4) ◽  
pp. 486-499 ◽  
Author(s):  
Carla Morris

Even in industrialised emerging economies, the value-generating competencies of a workforce, known as its human capital efficiency, are a key resource for commercial success. The objective of this research is to empirically investigate the relationship between human capital efficiency (as measured by value-added human capital) and the financial and market performance of companies listed on the Main Board and Alternative Exchange (ALT-X) of the Johannesburg Stock Exchange. Return on assets, revenue growth and headline earnings per share were used as financial performance indicators; while market-to-book ratio and total share return were used to measure market performance. Multivariate regressions were performed, with panel data covering 390 companies in the financial, basic materials, consumer services, consumer goods, industrial and technology industries from 2001 to 2011. First, human capital efficiency was found to have no effect on the market performance of listed companies in South Africa. Secondly, higher human capital efficiency was found to result in the extraction of greater returns from both tangible and intangible assets in all industries. Thirdly, higher profitability was found to be associated with higher human capital efficiency in almost every industry in South Africa, with the exception of the technology industry, where human capital efficiency was found to be independent of headline earnings per share. Finally, higher revenue growth was found to be positively associated with human capital efficiency in those industries which are not consumer-driven. In the consumer-driven industries, human capital efficiency contributes to bottom line profitability even though it is not a driver for revenue growth. Overall, the results of this study confirm that human capital efficiency enhances a company’s financial performance, whether it be through a greater capacity for production and service delivery, tighter cost controls or better use of company resources. Management in all South African industries are encouraged to develop the value-creating abilities of their employees through employer-driven personnel enrichment and training programs and by incentivising workers to pursue further education.


2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.


2013 ◽  
Vol 12 (02) ◽  
pp. 1350010 ◽  
Author(s):  
Hedia Fourati ◽  
Habib Affes

The purpose of this paper is to investigate the role of intellectual capital investment in improving the firm's market value, stakeholders' value and financial performance. Using data drawn from 21 listed companies in Tunisia Stock Exchange, we conducted two studies. On one hand, from using Charreaux (Charreaux (2006). La valeur partenariale: Vers une mesure opérationnelle. Cahier de FARGO no. 1061103, November) measure of stakeholders' value, we demonstrate that financials come to present the weakest stakeholders' value and clients monopolises in term of value acquisition due to a weak ability of negotiation of firms. On the other hand, we construct a regression model of Pulic's value added intellectual capital investment (VAIC) as the measure of the value added from intellectual capital, in market valuation and financial performance. Our results stressed the fact that there is a positive impact of intellectual capital by human capital efficiency and capital employed efficiency on improving firm's market value. Nevertheless, financial performance measured by ROA is still justified by the traditional measure relying on capital employed efficiency. Indeed for Tunisian quoted firms, human capital investment is a pilar for ameliorating firm market valuation of financial performance.


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