Productivity Growth and Infrastructure-Related Sectors: The Case of Mexico

2021 ◽  
Author(s):  
Fernando Navajas ◽  
Hildegart Ahumada ◽  
Santos Espina-Mairal ◽  
Guillermo Bermúdez
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Competition Policy ◽  
Regional Differences ◽  
Technical Note ◽  
Regulatory Competition ◽  
Wholesale Market ◽  
Capital Productivity ◽  
The Impact

This technical note examines the interactions between infrastructure and productivity growth in Mexico. To address this relation, we follow an approach that seek to tie down infrastructure productivity improvements in terms of the impact of particular types of infrastructure on particular sectors, thus providing the basis for informed decisions on investment priorities for economic growth. We have been able to identify significant relations between labor and capital productivity improvements, or capital deepening (i.e., investment) in infrastructure-related sectors and labor productivity improvements in other sectors. Sectoral infrastructure priorities can be found in the transport and energy sectors, broadly defined, with effects that have regional differences. The nature of our results points to complementary policies and the need to improve the regulatory compact for infrastructure in Mexico. Our results recommend special attention to the regulatory/competition policy approach in transport, and the electricity wholesale market.

The cultural dividend: a hidden source of economic growth in emerging countries

2017 ◽  
Vol 24 (4) ◽  
pp. 590-616 ◽  
Author(s):  
Shaomin Li ◽  
Seung Ho Park ◽  
David Duden Selover
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Large Scale ◽  
Cultural Factors ◽  
Content Type ◽  
Economic Productivity ◽  
Large Scale Data ◽  
Productivity Gains

Purpose The purpose of this paper is to develop the theoretical linkage between culture and economic growth and empirically test the relationship by measuring culture and how it affects labor productivity. Design/methodology/approach This study uses a cross-section study of developing countries and regresses economic productivity growth on a set of control variables and cultural factors. Findings It is found that three cultural factors, economic attitudes, political attitudes, and attitudes towards the family, affect economic productivity growth. Originality/value Many economists ignore culture as a factor in economic growth, either because they discount the value of culture or because they have no simple way to quantify culture, resulting in the role of culture being under-researched. The study is the first to extensively examine the role of culture in productivity growth using large-scale data sources. The authors show that culture plays an important role in productivity gains across countries, contributing to the study of the effects of culture on economic development, and that culture can be empirically measured and linked to an activity that directly affects the economic growth – labor productivity.

scholarly journals Pakistan’s Productivity Performance and TFP Trends, 1980–2015: Cause for Real Concern

2016 ◽  
Vol 21 (Special Edition) ◽  
pp. 33-63 ◽  
Author(s):  
Rashid Amjad ◽  
Namra Awais
Keyword(s):  
Economic Growth ◽  
East Asia ◽  
Total Factor Productivity ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Output Growth ◽  
Factor Productivity ◽  
Sustained Growth ◽  
Growth Prospects ◽  
High Output

This paper reviews Pakistan’s productivity performance over the last 35 years (1980–2015) and identifies factors that help explain the declining trend in labor productivity and total factor productivity (TFP), both of which could have served as major drivers of productivity growth – as happened in East Asia and more recently in India. A key finding is that the maximum TFP gains and their contribution to economic growth are realized during periods of high-output growth. The lack of sustained growth and low and declining levels of investment appear to be the most important causes of the low contribution of TFP to productivity growth, which has now reached levels that should be of major concern to policymakers vis-à-vis Pakistan’s growth prospects.

Trade Liberalization, Structural Change, and Economic Growth

2021 ◽  
pp. 407-441
Author(s):  
Michael Landesmann ◽  
Neil Foster-McGregor
Keyword(s):  
Economic Growth ◽  
Structural Change ◽  
Trade Liberalization ◽  
Productivity Growth ◽  
Global Economy ◽  
Adam Smith ◽  
Trade Theory ◽  
New Trade Theory ◽  
The Impact ◽  
The Relationship

Trade and the integration of countries into the global economy is one of the main forces shaping the structural composition of economies, an effect which in turn is expected to impact upon productivity and growth. Structural change can be restrained or reinforced by international trade. This chapter reviews the theory on the relationship between trade and trade liberalization and both structural change and growth, from the contributions of Adam Smith to the more recent new new trade theory beginning with the work of Melitz. The chapter further discusses the existing empirical evidence on the relationship between trade and structural change, before concluding by presenting evidence on the impact of trade liberalization on productivity growth for a broad sample of countries, further decomposing the effect into an effect due to structural change and an effect due to within sector productivity developments.

On the Production Functions of Labor Productivity in the Regions of Russia

2020 ◽  
Vol 8 (2) ◽  
pp. 8-12
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Labor Productivity ◽  
Consumer Price Index ◽  
Production Functions ◽  
Government Employees ◽  
Capital Productivity ◽  
Production Technologies ◽  
Advanced Production ◽  
The Impact ◽  
Continue Work ◽  
Exclusion Method

To identify determinants of labor productivity, correlation relationships were estimated for indicators reflecting the influence of 30 socio-economic and innovative factors in the regions for 2015-2017. Of the 30 factors, for some factors, a significant correlation was found, characterizing their indicators and labor productivity. For these indicators, models of linear production functions were constructed. Modeling made it possible to establish that the following factors have a significant impact on labor productivity: capital productivity, investment, foreign investment, the number of government employees, wages, income inequalities, the number of university faculty, the number of advanced production technologies used, and the consumer price index. The instability of assessing the impact of indicators characterizing the determinants of labor productivity can be explained by two reasons of a different nature. Firstly, the development of the country's economic system at present may in fact be unstable. This problem determines the need for additional research. Secondly, the models obtained by the standard inclusion-exclusion method without taking into account and eliminating the multicollenarity effect can significantly reduce the reliability of estimates obtained by the least common square method. This determines the need to continue work using a more advanced modeling technique.

scholarly journals Plant location as a function of the standard of maintenance efficiency: An empirical perspective

1981 ◽  
Vol 12 (3) ◽  
pp. 60-63
Author(s):  
P. N. Palmer
Keyword(s):  
Economic Growth ◽  
Empirical Evidence ◽  
Production System ◽  
Regional Differences ◽  
Plant Location ◽  
Economic Region ◽  
Efficiency And Effectiveness ◽  
Empirical Perspective ◽  
The Republic ◽  
The Impact

In this article, aspects relating to the management of the maintenance function within a production system are discussed. Inordinate disparities undermining the execution of the maintenance function - as a result of inter-regional differences regarding the availability of maintenance skills - are identified on the basis of empirical evidence and with the aid of inferential statistics. The cause/effect impact that such disparities have on the maintenance of equipment in a plant are singled out, and the reasons therefore discussed, while the comparative, inter-regional differences referred to stem from the tenets of industrial centralization versus industrial decentralization. The locales affected are the Johannesburg economic region as opposed to the economic growth point of Babelegi, in the Republic of Bophuthatswana. In conclusion, certain observations and recommendations are postulated with a view to highlighting the impact of locational differences on both the efficiency and effectiveness with which the maintenance function can be executed.In hierdie artikel word sekere aspekte wat op die bestuur van die onderhoudsfunksie betrekking het, bespreek. Buitengewone teenstrydighede wat die uitvoering van die onderhoudsfunksie ondermyn - as gevolg van interstreekse verskille sover dit die beskikbaarheid van onderhoudsvaardighede betref - word geidentifiseer op die basis van empiriese getuienis en met behulp van afgeleide statistiek. Die oorsaak/gevolg impak wat sulke teenstrydighede op die onderhoud van toerusting in 'n aanleg het, word uitgesonder en die redes daarvoor word bespreek, terwyl verwys word na die vergelykende, interstreekse verskille wat vanuit die beginsel van industriele sentralisasie teenoor industriele desentralisasie voortspruit. Die gebiede wat geaffekteer word is die Johannesburg ekonomiese streek teenoor die ekonomiese groeipunt van Babelegi in die Republiek van Bophuthatswana. Ten slotte word sekere waarnemings en aanbevelings gemaak ten einde die impak van liggingsverskille op die doeltreffendheid sowel as die effektiwiteit waarmee die onderhoudsfunksie uitgevoer kan word, uit te lig.

scholarly journals Rola dużych gospodarstw rolnych we wzroście produktywności pracy rolnictwa polskiego na tle sytuacji w innych wybranych krajach Unii Europejskiej

2018 ◽  
Vol 105 (1) ◽  
pp. 32-46 ◽  
Author(s):  
Wojciech Józwiak ◽  
Zofia Mirkowska ◽  
Wojciech Ziętara
Keyword(s):  
Czech Republic ◽  
Labor Productivity ◽  
Productivity Growth ◽  
The Czech Republic ◽  
Group 2 ◽  
Large Farms ◽  
The Impact ◽  
The Eu ◽  
Group 1

The study focuses on the analysis of labor productivity in Polish agriculture in 2005 and 2016 in comparison to selected EU-15 countries (group 1) and some countries that joined the EU after 2004. In group 1, Austria, Belgium, Denmark, the Netherlands and Germany are included, while in group 2 - the Czech Republic, Slovakia, Lithuania, Latvia and Hungary. The analysis particularly considers the role of large farms, the size of which was contractually agreed at 30 ha of UAA. The aim of the study was to determine the impact of large farms on the level of labor productivity in total farms and to determine the possibility of reducing the differences between labor productivity in Polish large farms in relation to analogous farms in EU-15 countries, and determining whether changes occurring in Poland differ from those occurring in large farms in other post-socialist countries. In both groups of countries there was a decrease in the number of farms and an increase in labor productivity in agriculture in general and in surveyed classes in large farms. In the countries of group 2. the rate of labor productivity growth was higher than in group 1. However, it slightly reduced the differences. Labor productivity in agriculture in the countries of Group 1 was significantly higher than in Group 2. The increase in the number and share of large farms in the structure of farms was positively correlated with labor productivity in agriculture.

scholarly journals Impact of Agricultural Financing on Nigeria Economy

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ayodele E. Ademola
Keyword(s):  
Economic Growth ◽  
Financial Institutions ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Macroeconomic Policies ◽  
Agricultural Finance ◽  
Ordinary Least Square ◽  
The Impact

The importance of agricultural surplus for the structural transformation accompanying economic growth is often addressed by development economists. In view of this, the study empirically assesses the impact of agricultural finance on the growth of Nigerian economy. This paper employed secondary data and econometric techniques of Ordinary Least Square (OLS) of multiple regression estimates. The result of the model used suggests that the productivity of investment will be more appropriately financed with resources administered by the commercial and specialized financial institutions. And also, that there are an urgent and sincere needs to expand the credit size to the agricultural sector in order to enhance the productivity growth of the sector. It is recommended that maintenance of credible macroeconomic policies that is pro-investment in overhauling the Agricultural Sector and debt-equity swap option are necessary for an agricultural-led economic growth.

scholarly journals Impact of National Competitiveness on Economic Growth and Income Level – Evidence From the Selected Post-Soviet Countries

2021 ◽  
Vol 12 (2) ◽  
pp. 17
Author(s):  
Aziz Sodikov ◽  
Zuhriddin Rizaev ◽  
Lee Chin ◽  
Shahnoza Ochilova
Keyword(s):  
Economic Growth ◽  
Productivity Growth ◽  
Income Level ◽  
Market Size ◽  
Income Per Capita ◽  
National Competitiveness ◽  
Ict Adoption ◽  
Per Capita ◽  
The Impact ◽  
Macroeconomic Stability

This paper investigates the impact of national competitiveness on productivity, economic growth and income per capita in the selected post-Soviet countries between 2004 and 2018. In this paper, 2019 edition of the Global Competitiveness Index (GCI), which is composed of 12 pillars such as namely institutions, infrastructure, ICT adoption, macroeconomic stability, health, skills, product market, labour market, financial system, market size, business dynamism and innovation capability, is used as a proxy for the national competitiveness and productivity for the empirical analysis purposes. The findings reveal that: (1) the GCI is highly correlated with productivity level and the selected post-Soviet countries with higher level of national competitiveness had higher long-term economic growth and income per capita, (2) Russia and Kazakhstan more benefited from rising per capita income associated with enhanced national competitiveness (or productivity growth) compared to other selected former Soviet states, (3) among the GCI factors, ICT adoption, macroeconomic stability, market size and healthy life expectancy were major levers of productivity growth that influenced the national competitiveness, positively and significantly contributing to an increase in the income level in the selected post-Soviet countries in 2004-2018 period.

The Impact of a Crisis on the Innovation Systems in Europe: Evidence from the CIS10 Innovation Survey

2019 ◽  
Vol 27 (4) ◽  
pp. 543-562
Author(s):  
Katerina Toshevska-Trpchevska ◽  
Elena Makrevska Disoska ◽  
Dragan Tevdovski ◽  
Viktor Stojkoski
Keyword(s):  
Labor Productivity ◽  
Economic Crisis ◽  
Productivity Growth ◽  
Innovation Systems ◽  
European Countries ◽  
Innovation Activity ◽  
National Innovation Systems ◽  
Community Innovation Survey ◽  
Innovation Output ◽  
The Impact

The varieties of the national innovation systems among European countries are reflected in the large differences, discrepancies and sometimes unexpected results in the innovation processes and their influence on labor productivity growth. The goal of this paper is to find the differences between the drivers of the innovation systems and their influence on growth of productivity between two groups of countries with different institutional settings in the period of the financial and economic crisis in Europe. The first group consists of a selection of CEE (Central and East European) countries. The second group consists of Germany, Norway, Spain and Portugal. In order to measure the role of innovation on productivity growth we use the CDM (Crépon, Duguet and Mairesse) model of simultaneous equations. The model directly links R&D engagement and intensity to innovation outcomes measured either as process or product innovation, and then estimates the effectiveness of the innovative effort leading to productivity gains. The company-level dataset is drawn from the Community Innovation Survey (CIS10). There is one common result for the two groups, that in general the probability for a typical firm to engage in innovation increases with its size. The other factors influencing the decision process differ. A firm’s productivity increases significantly with innovation output, but only with firms operating in Western Europe. The results for firms in Central and Eastern Europe indicate that these countries’ national innovation systems are vulnerable, and in periods of crises higher level of innovation output leads to lower labor productivity. Therefore, systemic faults in the national innovation systems result in their unsustainability, especially visible in periods of crises, as was the case in 2008–2010. When it comes to Western European countries, the financial and economic crisis did not have negative effects on their innovation systems as innovation activity resulted in higher levels of labor productivity. Regarding the CEE group of countries, the crisis influenced both the innovation process and labor productivity as a whole negatively.

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