scholarly journals Services Trade and Labor-Demand Elasticities of Service Sector: Empirical Evidence from China

2012 ◽  
Vol 02 (04) ◽  
pp. 136-144
Author(s):  
Hao Wei ◽  
Qiang Fu ◽  
Sui Yang
2021 ◽  
pp. 97-135
Author(s):  
Ronald G. Ehrenberg ◽  
Robert S. Smith ◽  
Kevin F. Hallock

2018 ◽  
Vol 34 (2) ◽  
pp. 151-160 ◽  
Author(s):  
Nur Hazwani Karim ◽  
Noorul Shaiful Fitri Abdul Rahman ◽  
Syed Faizal Shah Syed Johari Shah

2000 ◽  
Vol 30 (9) ◽  
pp. 1419-1428 ◽  
Author(s):  
Gregory S Latta ◽  
Darius M Adams

Few studies have examined the own-price elasticity of Canadian softwood lumber supply or output-adjusted factor demand elasticities over the past two decades, despite the utility of these measures in understanding producer response to tariffs, to market shifts (such as the decline in U.S. public harvest), and to changes in domestic forest policies. The present analysis employs a normalized, restricted quadratic profit function approach to estimate lumber supply and Marshallian factor demand elasticities for three Canadian regions. Results indicate that the lumber supply elasticity in the British Columbia coast region may be twice as large as that in the interior or eastern regions. Comparison of Hicksian factor demand elasticities with earlier studies suggests that the own price elasticity of labor demand may be two or more times larger than that for wood. Results also indicate differential time trends in Marshallian lumber output and wood demand elasticities across regions, rising in the British Columbia coast and falling elsewhere over the past two decades. Morishima elasticities of substitution from the present and past studies indicate that the wood for labor factor intensity is more sensitive to changes in labor price than is the labor for wood intensity to changes in wood price.


This study addresses one of the most critical advents and highly sought after the technological breakthrough of today’s service sector. Internet of things has been finding relevance in today’s service sector as a significant impetus to superior service delivery and advanced service proposition to customers. Healthcare sector is also no exception. This study taking data from the Indian healthcare sector attempts to check the relationship between IoT adoption and proposed service delivery gains experienced by healthcare organizations (if any). The study based on the theoretical premises of cybernetic control theory and technology adoption model by Davis, Hypothesized that IoT adoption must positively influence flexibility and agility and in turn, flexibility positively influence readiness. The empirical evidence supports these hypotheses, and all the findings validate the propositions that healthcare organizations and the players and actors involved in healthcare consider IoT adoption as pivotal. Because the survey outcomes establish path analysis linkages through Structural equation modeling (SEM). SEM results highlight the significant positive impact of IoT adoption on flexibility and agility and in turn, even stronger association and effects of flexibility on readiness in the services offered by healthcare organizations. This study outcomes are very vital for hospital managers and upcoming healthcare practitioners as it establishes empirical evidence supporting IoT adoption as a helpful step and prominent success factor for better flexible patient care delivery and agility.


2018 ◽  
Vol 11 (1) ◽  
pp. 39-54
Author(s):  
Olatunji A. Shobande

Abstract This paper examines to what extent export concentration can be tailored towards promoting economic growth in Nigeria. A deeper understanding of the interrelationship among various sectorial units, as well as the investment channel that better stimulates the economy is the thrust of this paper. As a consequence, the study wants to answer to the question whether it “is there any linkage between export concentration, and various sectorial output share (agricultural, manufacturing, and service sector) on growth performance?”. The methodology we made use of is a Vector Autoregressive (VAR) model for the various sectoral analysis of export concentration in Nigeria. The estimated results show that export concentration has an important role to play in driving economic growth and that this role emanates from the Agricultural and manufacturing sectoral channels. These channels account for about 93 percent and over 3 percent respectively of the total variation of export concentration contribution to economic growth. The result also indicates that one standard deviation shock to export concentration results in a peak on agricultural sector quarterly after shock. As a result, the study recommends that government ought to make available incentive to the agricultural sector to further enhance the contribution of the sector to the economic growth in the Nigeria economy.


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