AGRICULTURAL PRODUCTIVITY AND GROWTH IN TURKEY

2013 ◽  
Vol 18 (5) ◽  
pp. 998-1017 ◽  
Author(s):  
Ayşe İmrohoroğlu ◽  
Selahattın İmrohoroğlu ◽  
Murat Üngör
Keyword(s):  
Economic Growth ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Agricultural Productivity ◽  
Intermediate Goods ◽  
Extended Model ◽  
Agricultural Output ◽  
Income Per Capita ◽  
Sector Model ◽  
Per Capita

This paper investigates the growth experience of one country in detail in order to enhance our understanding of important factors that affect economic growth. Using a two-sector model, we identify low productivity growth in the agricultural sector as the main reason for the divergence of income per capita between Turkey and its peer countries between 1968 and 2005. An extended model that incorporates distortions in the use of intermediate goods in producing agricultural output indicates that policies that have different effects across sectors and across time may be important in explaining the growth experience of countries.

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.

Technological Innovation and the Agricultural Sustainability

2020 ◽  
pp. 1-16
Author(s):  
Rachida Khaled ◽  
Lamine Hammas
Keyword(s):  
Technological Innovation ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Agricultural Productivity ◽  
Agricultural Sustainability ◽  
Net Income ◽  
Agriculture Sector ◽  
Per Capita ◽  
The Impact

The diffusion of the technological innovation can affect the agricultural sector in the three-sided (social, economic and environmental), a hand, it can contribute to solve problems of the agricultural sector: the effects of the climatic changes, the farming exodus and the migration and the problems of poverty and it can improve the agricultural productivity. But on the other hand, he can lead to new problems, such as depletion of energy resources caused by excessive use of energizing technologies, pollution of air and water and the destruction of soil by industrial waste. This paper aims to theoretically and empirically analyze the role of technological innovation in improving agricultural sustainability through the impact of mechanization on agricultural productivity, energy production and net income per capita for a panel of three Maghreb countries (Algeria, Morocco and Tunisia) during the period 1997-2012. By using simultaneous equations, the authors' finding that technological innovation cannot achieve the purpose of sustainable development in the agriculture sector in the Maghreb countries through the negative impact of mechanization and research and development on agricultural productivity.

scholarly journals The Impact of Dengue on Economic Growth: The Case of Southern Taiwan

2020 ◽  
Vol 17 (3) ◽  
pp. 750
Author(s):  
Chien-Yuan Sher ◽  
Ho Ting Wong ◽  
Yu-Chun Lin
Keyword(s):  
Economic Growth ◽  
Public Health Problem ◽  
World Health ◽  
Annual Data ◽  
Average Income ◽  
Income Per Capita ◽  
Dengue Outbreak ◽  
Southern Taiwan ◽  
Per Capita ◽  
The Impact

Dengue has long been a public health problem in tropical and subtropical countries. In 2015, a dengue outbreak occurred in Taiwan, where 43,784 cases were reported. This study aims to assess the impact of dengue on Southern Taiwan’s economic growth according to the economic growth model-based regression approach recommended by the World Health Organization (WHO). Herein, annual data from Southern Taiwan on the number of dengue cases, income growth, and demographics from 2010–2015 were analyzed. The percentage of reduction of the average income per capita in 2015 due to the dengue outbreak was estimated. Dengue was determined to have a negative linear economic impact on Southern Taiwan’s economic growth. In particular, a reduction of 0.26% in the average income per capita was estimated in Southern Taiwan due to the 2015 outbreak. If the model is applied alongside other dengue outbreak forecast models, then the forecast for economic reduction due to a future dengue outbreak may also be estimated. Prevention and recovery policies may subsequently be decided upon based on not only the number of dengue cases but also the degree of economic burden resulting from an outbreak.

scholarly journals Infrastructural Development, Agricultural Output and Employment in ECOWAS Countries

2019 ◽  
Author(s):  
Richardson Edeme ◽  
Janefrancis Idenyi
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Infrastructure Development ◽  
Agricultural Output ◽  
Development Indicators ◽  
Infrastructural Development ◽  
World Development ◽  
Land Economic ◽  
Electricity Transport

Data from 15 ECOWAS countries from 2000-2017 were generated from World Development Indicators and Africa Infrastructure Development Index. Variables of concern are agricultural output, agricultural sector employment, access to electricity, transport, ICT, agricultural land, economic growth and FDI.

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 The Impact of Remittances on Poverty Alleviation in Selected Emerging Markets

2018 ◽  
Vol 21 (2) ◽  
pp. 51-68 ◽  
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Emerging Markets ◽  
Fixed Effects ◽  
Poverty Reduction ◽  
Ordinary Least Squares ◽  
Income Per Capita ◽  
Per Capita ◽  
Migrant Remittances ◽  
The Impact ◽  
Poverty Levels

The study explored the impact of remittances on poverty in selected emerging markets. On the theoretical front, the optimistic view argued that remittances inflow into the labour exporting country reduces poverty whereas the pessimistic view proponents said that remittances dependence syndrome retards both economic growth and income per capita. Separately, using two measures of poverty [the poverty headcount ratio at US $1.90 and US $3.10 a day (% of population)] as dependent variables, the fixed effects approach produced results which supported the remittances led poverty reduction (optimistic) hypothesis whereas the pooled ordinary least squares (OLS) framework found that remittances inflow into the selected emerging markets led to an increase in poverty levels. The implication of the findings is that emerging markets should put in place policies that attract migrant remittances in order to reduce poverty levels. They should avoid over‑reliance on remittances as that might retard economic growth and income per capita.

Agricultural Productivity in Indonesian Provinces

2020 ◽  
pp. 1146-1162
Author(s):  
Khee Giap Tan ◽  
Nurina Merdikawati ◽  
Ramkishen S. Rajan
Keyword(s):  
Productivity Growth ◽  
Agricultural Sector ◽  
National Level ◽  
Agricultural Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Data Envelopment ◽  
Use Of Resources ◽  
The World ◽  
Level Analysis

Indonesia has been recognized as a country with significant potential in agriculture, not only to be self-sufficient in terms of food, but also to be the “food basket” for the world. However, given limited and competing use of resources, raising agricultural productivity is of paramount importance. To date, most of the existing work on Indonesia's agricultural sector is at the national level. Considering the extent of Indonesia's regional diversity, a provincial-level analysis of the country's agricultural sector would be more useful from a policy perspective. In this light, this paper examines agricultural productivity growth in Indonesian provinces during 2000-2011 and draws policy implications from such empirical analysis. The paper uses two methodologies, namely growth accounting and Malmquist index data envelopment analysis. Results suggest that technological change has been improving for most provinces, though there is wide variation in technical efficiency change which in turn is driving differences in total factor productivity growth across provinces.

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