The impact of technological specialisation on national performance in a balance-of-payments-constrained growth model

2002 ◽  
Vol 13 (1) ◽  
pp. 101-118 ◽  
Author(s):  
Valentina Meliciani
Keyword(s):  
Growth Model ◽  
Balance Of Payments ◽  
National Performance ◽  
The Impact ◽  
Technological Specialisation

Economic Structure of Pakistan.—By Khawaja Amjad Saeed. Accountancy and Taxation Service Institute, Lahore, 1977. pp. 396.

1978 ◽  
Vol 17 (2) ◽  
pp. 264-265
Author(s):  
Moin-ud-din Moin-ud-din
Keyword(s):  
Foreign Aid ◽  
Statistical Data ◽  
International Comparisons ◽  
Balance Of Payments ◽  
Development Effort ◽  
Recent Past ◽  
World Economic ◽  
World Economic Order ◽  
The Impact ◽  
Vast Range

A number of books on Pakistan's economy have recently been published, but most of them do hot provide the latest statistical data or keep pace with events and development during the 1970's. The book under review, however, has admirably fulfilled the requirements. It covers a vast range of subjects concerning economic development in the country during the recent past The book is divided into nine parts and covers such diverse areas as development, industry, the price situation and the impact of inflation, Pakistan's planning and development effort, trade priorities and balance of payments situation, .taxation* foreign aid, and socio-economic reforms. The analysis is general, broadbased, and historical in perspective and a large amount of data have been put together. To bring out a clearer picture international comparisons are made whereever possible, especially in the last part of the book where the author reiterates on the need for a "New World Economic Order".

R&D Heterogeneity and the Impact of R&D Subsidies*

2021 ◽  
Author(s):  
Sigurd M⊘lster Galaasen ◽  
Alfonso Irarrazabal
Keyword(s):  
Economic Impact ◽  
Growth Model ◽  
Relative Size ◽  
Schumpeterian Growth ◽  
Size Dependent ◽  
Investment Growth ◽  
The Impact ◽  
D Investment ◽  
Model Fits

Abstract This paper studies the determinants of R&D heterogeneity and the economic impact of R&D subsidies. We estimate a Schumpeterian growth model featuring firms with heterogeneous innovation efficiencies. The model fits well the R&D investment distribution, and the frequency and relative size of R&D performers. Using the model we study the impact of a Norwegian R&D reform targeting firms with R&D spending below a certain threshold. The size-dependent subsidy increases aggregate R&D investment by 11.7%, but reduces growth and welfare. In contrast, a uniform subsidy stimulates investment, growth and welfare.

scholarly journals Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India

2014 ◽  
Vol 18 (10) ◽  
pp. 4223-4238 ◽  
Author(s):  
G. M. Tsarouchi ◽  
W. Buytaert ◽  
A. Mijic
Keyword(s):  
Growth Model ◽  
Land Surface ◽  
Coupled Model ◽  
Crop Growth ◽  
Original Model ◽  
Surface Model ◽  
Strong Impact ◽  
Crop Growth Model ◽  
Mean Error ◽  
The Impact

Abstract. Land-Surface Models (LSMs) are tools that represent energy and water flux exchanges between land and the atmosphere. Although much progress has been made in adding detailed physical processes into these models, there is much room left for improved estimates of evapotranspiration fluxes, by including a more reasonable and accurate representation of crop dynamics. Recent studies suggest a strong land-surface–atmosphere coupling over India and since this is one of the most intensively cultivated areas in the world, the strong impact of crops on the evaporative flux cannot be neglected. In this study we dynamically couple the LSM JULES with the crop growth model InfoCrop. JULES in its current version (v3.4) does not simulate crop growth. Instead, it treats crops as natural grass, while using prescribed vegetation parameters. Such simplification might lead to modelling errors. Therefore we developed a coupled modelling scheme that simulates dynamically crop development and parametrized it for the two main crops of the study area, wheat and rice. This setup is used to examine the impact of inter-seasonal land cover changes in evapotranspiration fluxes of the Upper Ganges River basin (India). The sensitivity of JULES with regard to the dynamics of the vegetation cover is evaluated. Our results show that the model is sensitive to the changes introduced after coupling it with the crop model. Evapotranspiration fluxes, which are significantly different between the original and the coupled model, are giving an approximation of the magnitude of error to be expected in LSMs that do not include dynamic crop growth. For the wet season, in the original model, the monthly Mean Error ranges from 7.5 to 24.4 mm month−1, depending on different precipitation forcing. For the same season, in the coupled model, the monthly Mean Error's range is reduced to 5.4–11.6 mm month−1. For the dry season, in the original model, the monthly Mean Error ranges from 10 to 17 mm month−1, depending on different precipitation forcing. For the same season, in the coupled model, the monthly Mean Error's range is reduced to 2.2–3.4 mm month−1. The new modelling scheme, by offering increased accuracy of evapotranspiration estimations, is an important step towards a better understanding of the two-way crops–atmosphere interactions.

scholarly journals Introducing formalism in economics: The growth model of John von Neumann

2010 ◽  
Vol 57 (2) ◽  
pp. 153-172 ◽  
Author(s):  
Sandye Gloria-Palermo
Keyword(s):  
Growth Model ◽  
John Von Neumann ◽  
Von Neumann ◽  
David Hilbert ◽  
The 1950S ◽  
Pragmatic Turn ◽  
The Impact

The objective is to interpret John von Neumann's growth model as a decisive step of the forthcoming formalist revolution of the 1950s in economics. This model gave rise to an impressive variety of comments about its classical or neoclassical underpinnings. We go beyond this traditional criterion and interpret rather this model as the manifestation of von Neumann's involvement in the formalist programme of mathematician David Hilbert. We discuss the impact of Kurt G?del's discoveries on this programme. We show that the growth model reflects the pragmatic turn of the formalist programme after G?del and proposes the extension of modern axiomatisation to economics.

Culture and income across countries: evidence from family ties

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sokchea Lim ◽  
Simran K. Kahai ◽  
Channary Khun
Keyword(s):  
Survey Data ◽  
Growth Model ◽  
Design Methodology ◽  
Macro Level ◽  
Second Step ◽  
Content Type ◽  
Family Ties ◽  
Highly Educated ◽  
Married Individuals ◽  
The Impact

PurposeThe purpose of the paper is to examine how much difference in income can be explained by familial culture that persists in different societies.Design/methodology/approachWe employ a two-step methodology to evaluate the impact of familial culture on income across countries. In the first step, we construct the macro measures of familial culture from micro survey data. In the second step, the growth model is estimated.FindingsFirst-step micro regression results show that family is more important to female, richer, highly educated, unemployed and married individuals. Male, poorer, less educated and unemployed individuals are more likely to respect and love parents unconditionally. The same group is also more likely to think that parents must do the best for their kids. Finally, the macro results show that the strength of national familial ties explains significant differences in income across countries.Research limitations/implicationsWe show that countries with weak family ties are richer than those with strong family ties. These results are useful for policymakers who design public policies that accommodate the type of familial culture that persists in their society.Originality/valueWe construct the macro measures of familial culture from the micro survey data. The paper adds to the literature on the effect of culture on income at the macro level.

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