scholarly journals The Impact of Human Capital on Firm-Level Input Use: Argentine Agriculture

2008 ◽  
Author(s):  
Marcos Gallacher
Author(s):  
Patrick J. W. Egan

This chapter moves beyond firm level attributes and economic motivations to consider the impact of host country institutions on investment models of multinationals in developing countries. It adopts a comparative institutionalist perspective, and utilizes country and firm level variables to measure governance. These measures are then employed to predict innovation outcomes. This chapter demonstrates that host country institutions affect the likelihood of local innovation taking place, and its intensity. A variety of measures of institutional coherence are developed, and address such diverse concepts as intellectual property protection, corruption, democracy, and bureaucratic quality. In addition, firm surveys are used to convey firm perceptions of institutional quality in host countries. The chapter includes a discussion of the literature on firm entry modes, and considers how other host country attributes, such as education and human capital, may influence innovation outcomes alongside institutions.


2020 ◽  
Vol 12 (11) ◽  
pp. 4736
Author(s):  
Dohyung Kim ◽  
Sun Go

Human capital has been shown as an important determinant of environmental performance at the firm and province levels. We try to identify the impact of human capital on environmental performance at the country level. To address potential endogeneity and measurement errors regarding human capital, we use the primary school enrollment rate a century ago as an instrument for today’s human capital stock. The instrumental variable estimation, based on a sample of 72 countries, shows that human capital has a statistically significant effect on the Environmental Performance Index, a composite measure of national environmental performance, primarily through improving biodiversity, habitat, and sustainable agriculture, all of which are the indicators related to environmental sustainability. These findings from cross-country analysis are broadly consistent with those of firm-level or province-level studies, emphasizing the role of human capital in enhancing the awareness of and compliance with environmental regulations, thus leading to an improvement in environmental performance.


2020 ◽  
Vol 16 (10) ◽  
pp. 1960-1979
Author(s):  
N.A. Egina ◽  
E.S. Zemskova

Subject. The study focuses on the impact of the digital economy determinants of the education transformation. Objectives. The article provides our own approach treating the education capital as a specific asset of the digital economy, which has an acceleration effect and sets up new trends in education through integrative networks. Methods. The study is based on principles of the systems integration, cross-disciplinary and multidisciplinary approaches. Results. The socio-economic progress was found to be determined with properties of human capital, which are solely specific to the digital economy. In new circumstances, it gets more important for actors of global, national, corporate and social networks to more actively cooperate within distributed networks in order to train high professionals, who would have skills in information networks. Thus, they would raise a new form of human capital – the capital of network education (network-based education capital). We describe positive externalities that arise when the educational sector joins communication processes. We illustrate how educational forms evolves, which are typical of a certain phase of the socio-economic development. The education capital was discovered to grow into a specific asset generating the quasi-rent and working as a social ladder only provided more actors are involved into the network. Conclusions and Relevance. Studying the evolution of educational forms through the cross-disciplinary method, we discovered the need for a system approach, which would help substantiate its transformation in the time of the digital economy, and the emergence of network-based education. These are technologies and tools of the digital economy that become unique factors generating the acceleration effect of the educational capital and ensuring the use of diverse network effects for the formation of intellectual capital and their social transformation.


ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.


2020 ◽  
Vol 2 (5) ◽  
pp. 115-119
Author(s):  
M. V. SAVINA ◽  
◽  
A. A. STEPANOV ◽  
I.A. STEPANOV ◽  
◽  
...  

The article highlights the problems of the impact of "digitalization" of society on the formation and transformation of human capital, and above all, the development of new competencies, knowledge and skills. The main components of human capital in the modern era, the features of the formal and informal educational process are clarified and disclosed. The necessity of minimizing the precariat class is proved. The main directions of qualitative improvement of human capital adequate to the challenges of the digital age and globalization are defined.


Author(s):  
Anna Watson

AbstractThe paper examines the impact of trade credit on cyclical fluctuations in international trade. It provides new empirical evidence based on firm-level UK and Irish data showing that exporters use trade credit more actively and intensively than non-exporters. The study introduces inter-firm lending into an open economy general equilibrium model with heterogeneous firms and endogenous entry into the exports market. It demonstrates that trade credit amplifies the impact of macroeconomic shocks on international trade both along the intensive and extensive margins and that it significantly contributes to the high trade income elasticity observed in the data.


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


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