scholarly journals The Role of Agricultural Policies in Jordan to Mitigate the Effects of COVID-19 on the Agricultural Sector

2021 ◽  
Vol 13 (9) ◽  
pp. 171
Author(s):  
Radi A. Tarawneh
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Labour Force ◽  
Agricultural Commodities ◽  
Agricultural Policies ◽  
Economic Sectors ◽  
Policies And Measures ◽  
Gdp Growth Rate ◽  
Sector Data

Since early 2020, an outbreak of the coronavirus disease 2019 (COVID-19) has started to spread in Jordan challenging the sustainability of Jordan’s economic sectors and the agricultural sector. A study was conducted in Jordan to evaluate the role of Jordanian Agricultural Policies to mitigate the effects of COVID-19 on the agricultural sector while its full impact on the Jordanian agricultural sector is not yet evident. A scientific questionnaire was distributed to 100 samples of Jordanians who had direct contact with the effect of agricultural policies and they can touch the effect of Coronavirus and Agricultural Policies on the agricultural sector, data selected from farmers, farm labour, fruits and vegetable traders and merchants, and Jordanian citizens were selected randomly from different areas in Jordan. The study summarizes target group opinion and some evidence on the different COVID-19 impacts on the Jordanian agricultural sector. The virus limits the free flow of labour, the agricultural labour force had a slightly decreased in 2020 compared with the year 2019 to about 7%, the country lockdown led to damage of crops due to lack of harvest and/or crop accumulation, as a result, the Jordan Agricultural Contribution to GDP growth rate at current prices was decreased 1.4%, and the growth rate at constant prices was also decreased 1.6%, the exported agricultural commodities value were not affected by COVID-19 pandemic but the imported of Agricultural commodities value was increased. Jordanian government try to facilitate the process of agricultural production and the provision of food during the Corona pandemic through issue agricultural policies and measures to alleviate the effects of the Corona pandemic on the agricultural sector.

The Role of the Number of Banks on Debt Dynamics: Evidence from Eurozone Countries

2017 ◽  
Vol 68 (1) ◽  
Author(s):  
Christos Karpetis ◽  
Stefanos Papadamou ◽  
Erotokritos Varelas
Keyword(s):  
Growth Rate ◽  
Positive Relationship ◽  
Panel Data Analysis ◽  
Sufficient Evidence ◽  
Debt Ratio ◽  
Simple Theoretical Model ◽  
Gdp Growth Rate ◽  
Banking Market ◽  
Debt Dynamics

AbstractThis paper addresses the issue of impacts of the banking market structure on debt dynamics. Using a simple theoretical model, we analytically find a positive link between number of banks and growth rate of debt. By applying panel data analysis on a set of Eurozone countries, sufficient evidence for this positive relationship is provided. In case of Portugal, Italy, Greece, Spain (PIGS countries) the effects are more pronounced. More specifically, the dominant effects on debt were the GDP growth rate, the primary balance over debt ratio and the number of banks. Therefore, bank regulation should pay attention on theses linkages, implying significant benefits for debt stability.

scholarly journals Influence of Investment and Labour on Agriculture Sector Economy of South Kalimantan Province

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Ahmad Yunani ◽  
Nasrudin Nasrudin
Keyword(s):  
Agricultural Sector ◽  
Labour Force ◽  
Regional Autonomy ◽  
Agriculture Sector ◽  
Service Creation ◽  
Systematic Risks ◽  
Independent Variable ◽  
Potential Area

The purpose of this study was to describe the development of investment and employment in South Kalimantan and to analyze the effect of investment and employment in the agricultural sector to GDP in South Kalimantan. This research is a quantitative study by conducting data collection at the Central Bureau of Statistics South Kalimantan Province pertaininglabour and the economy GDP Data and at Bappeda South Kalimantan and BKPMD (Investment Coordinating Board) South Kalimantan related PMA and PMD data investments as well as data from the Investment Credit Bank Indonesia Banjarmasin.The results showed that the province of South Kalimantan economy during the year 2002-2011grow positively. The condition is mainly supported by a number of industries (which are labour intensive) and the number of people working in agriculture, trade, and mining. However, no significant investment to GDP of Agriculture Sector in South Kalimantan was observed. Labour is still positive but not significant effect on GDP of Agriculture Sector. Taken together investment and employment significantly influence GDP of Agriculture Sector in South Kalimantan, though only 61.5% of the dependent variable explained by the independent variable, while the remaining 38.5% was explained by outside the regression model. It was suggested that the governments of South Kalimantan Province should do efforts to improve the quality of the labour force (i.e., by the local government. The role of the investment must also be adapted to the spirit of regional autonomy and should be encouraged to increase investment conducive situation, mapping the potential area and the establishment of integrated services in the unit for easy service creation and investment business license in order to avoid mistakes in investing and avoid systematic risks.

scholarly journals Pengaruh Ekspor, Impor, dan Investasi terhadap Pertumbuhan Sektor Pertanian Indonesia

2018 ◽  
Vol 35 (1) ◽  
pp. 49
Author(s):  
NFN Suharjon ◽  
Sri Marwanti ◽  
Heru Irianto
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Impulse Response ◽  
Agricultural Sector ◽  
Gdp Growth ◽  
Agricultural Export ◽  
Absolute Value ◽  
Gdp Growth Rate ◽  
Vector Auto Regression ◽  
Auto Regression

<p><strong>English</strong><br />Promoting agricultural sector is important for improving Indonesia economic performance. The objectives of the research are to determine the effects of levels and shocks of agricultural export, import, and investment on the growth (GDP) of the Indonesian agriculture sector. The research was conducted using quarterly time series data from 2000–2015. Vector Auto Regression analysis method was applied in this study. The causality analysis shows that the agricultural export, import, and investment levels do not significantly affect the agricultural GDP growth, but the agricultural GDP growth does significantly affect the level of agricultural export, import, and investment. The impulse response analysis shows that the investment response to GDP growth shocks is higher than that of export and import responses. The variance of decomposition analysis shows that the contribution of exports to agricultural GDP growth are larger than the contribution of imports and investments. This study concludes that the absolute value of the agricultural sector export, import, and investment do not affect the sector GDP growth rate, but the agricultural sector GDP growth rate affect the absolute value of the sector export, import, and investment in Indonesia.</p><p><br /><strong>Indonesian</strong><br />Mendorong pertumbuhan sektor pertanian Indonesia adalah penting untuk peningkatan kinerja perekonomian Indonesia. Tujuan penelitian adalah mengetahui pengaruh besaran dan goncangan (shock) ekspor, impor, dan investasi sektor pertanian terhadap pertumbuhan (GDP) sektor pertanian Indonesia. Penelitian dilakukan dengan menggunakan data time series triwulanan dari tahun 2000–2015. Penelitian menggunakan metode analisis Vector Auto Regression (VAR). Hasil analisis kausalitas menunjukkan bahwa ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap ekspor, impor, dan investasi pertanian. Hasil analisis impulse response menunjukkan bahwa respons investasi terhadap goncangan pertumbuhan PDB lebih besar dibandingkan respons besaran ekspor dan impor, Analisis variance decomposition menunjukkan kontribusi ekspor terhadap pertumbuhan PDB lebih besar dibandingkan dengan kontribusi impor dan investasi. Hasil penelitian ini menyimpulkan bahwa besaran absolut ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap laju pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap besaran ekspor, impor, dan investasi pertanian di Indonesia.</p>

scholarly journals PERANAN SEKTOR PERTANIAN DALAM PEMBANGUNAN WILAYAH KABUPATEN SIMALUNGUN PROVINSI SUMATERA UTARA

2021 ◽  
Vol 9 (1) ◽  
pp. 32
Author(s):  
Elvin Desi Martauli
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Waste Management ◽  
Oil Palm ◽  
Agricultural Sector ◽  
Retail Trade ◽  
Food Crops ◽  
North Sumatra ◽  
Central Statistics

The purpose of this study was to analyze the role of the agricultural sector in regional development in Simalungun Regency, North Sumatra Province. The data in this study were obtained from the Central Statistics Agency of Simalungun Regency and the Central Statistics Agency of North Sumatra Province from 2015-2019. The results showed that based on the value of the Gross Regional Domestic Product (PDRB), it can be seen from the economic growth in the region. When viewed from the PDRB of Simalungun Regency in the agriculture, forestry and fisheries sectors, it has the potential to be developed. The GDP contribution of the fisheries sector was 48.67 percent with a growth rate of 7.32. Based on the results of the LQ analysis, the agricultural sector in Simalungun Regency is a basic or superior sector with a contribution of 3.44 followed by Water Supply, Waste Management, Waste and Recycling of 1.12 and Wholesale and Retail Trade, and Car and Motorcycle Repair 1.09. As for the crop and vegetable horticulture agricultural sector commodity that contributed, namely cabbage with a harvest area of 2,406 hectares (21.50%). Of the food crops, namely lowland rice and oil palm, are plantation commodities with the highest production reaching 555,551 tons (97.76%).

scholarly journals Covid-19, Remittance Inflow, and Economic Growth Rate in Nepal

2020 ◽  
pp. 69-80
Author(s):  
Arbind Chaudhary
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Least Square Method ◽  
Least Square ◽  
Economic Growth Rate ◽  
Ordinary Least Square ◽  
Domestic Literature ◽  
Gdp Growth Rate ◽  
Economic Ground

The proliferation of COVID-19 pandemic over the globe is anomalously hurting the world’s economy. The paper aims to reveal the possible loss in economic growth rate for FY 2020 due to plausible retardation in remittance/GDP size of Nepal under COVID- 19 regime by utilizing transmission approach, trend forecast, and ordinary least square method form 2000 to 2019. The study harvests two premises: first, remittance/GDP has a positive estimate to the economic growth rate and second, if the pandemic proliferates more, and if it downsizes the remittance/ GDP size by 25% to 75%, it reduces the projected GDP growth rate (6.95) up to 6.68 to 5.3% respectively for FY 2020. However, domestic literature also supports the strong role of remittance on the micro-level. Therefore, the microeconomic impact of the virus may be more appalling than the macro-economic ground.

The role and role of digital economy and information technology in the agricultural sector

2020 ◽  
Vol 3 (2) ◽  
pp. 42-44
Author(s):  
Azizbek Mukhiddin ugli Khurramov
Keyword(s):  
Information Technology ◽  
Literature Review ◽  
Agricultural Sector ◽  
Developed Countries ◽  
Digital Economy ◽  
Economic Sectors

In this article, the content of the digital economy is theoretically covered, its role in the economic sectors (sectors), experience and achievements of developed countries, opportunities for its development in the country. The method of the literature review was used in the study of this article.

Exploring the Economic Slowdown of India

2020 ◽  
pp. 641-647
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Bright Spot ◽  
Gdp Growth ◽  
Consumption Expenditure ◽  
Industrial Output ◽  
Private Sector Investment ◽  
Gdp Growth Rate ◽  
Economic Slowdown ◽  
First Time

The GDP growth rate of India has been shrinking after 2016-17. Unemployment reached a 45-year high. The industrial output from the eight core sectors at the end of 2019 fell by 5.2 per cent, which was the worst in 14 years. Private sector investment had been stagnant for several years and declining in recent times, and consumption expenditure had also been falling, for the first time in several decades. Now, COVID-19 pandemic has added fuel to the fire by contracting growth rate of India to -23.9 per cent for the first quarter of the financial year 2020-21 as compared to that of the same quarter of last year. The COVID-19 pandemic has badly affected the manufacturing and services sectors. The agricultural sector remains the sole bright spot which recorded a growth rate of 3.37 per cent in the first quarter of 2020-21 against 2.97 per cent in the same quarter of last year.

scholarly journals THE ANALYSIS OF ECONOMIC POTENTIAL IN NORTH SUMATERA PROVINCE

2019 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Ahmad Habibi Harahap ◽  
Eko Wahyu Nugrahadi
Keyword(s):  
Economic Growth ◽  
Structural Transformation ◽  
Service Sector ◽  
Agricultural Sector ◽  
Economic Sectors ◽  
Growth Ratio ◽  
Services Sector ◽  
Agriculture Sector ◽  
The North

Economic growth of North Sumatera Province is not quite on the top of optimum. If the compared by some of others province in Indonesia and by  all of his potention, the North Sumatera Province only on the 10th rank of economic growth in Indonesia in 2009-2013 period. The purpose of this study is toanalyze the economic sectors which are the basis in each district/city in North Sumatera province and to determine the structure of economic growth in the district /city both sectoral and aggregate the province of North Sumatera. Structural transformation to some extent will have an impact on overall economic growth. Analysis tools used in this study is Location Quetiont (LQ), Growth Ratio Model (MRP), overlay analysis, and shift share analysis. Results of this study showed that the agriculture sector is a sector which is the basis in nearly 13 districts/cities in North Sumatera Province. But the growth in agriculture, processing industries, mining and quarrying, and the electricity, gas & water supply sector likely slowed, otherwise all tertiary sectors which include: trade, hotels, and restaurants; transportation and communication, finance, leasing, and services company, and the services sector is likely to experience growth positive. Transportation and communication is a sector with the highest growth occurring in North Sumatera Province. Shift Share Analysis results showed that in the Province of North Sumatera is going structural transformation characterized by decreasing the role of the agricultural sector, and the increasing role of the service sector. This condition as well as contrary to the Kuznets theory which states that the process of structural transformation contribution marked by shifting agriculture to manufacturing and then to services sector.

scholarly journals Comparing the Business Performance of the State-Owned Enterprises and Others

2013 ◽  
Vol 216 ◽  
pp. 25-40
Author(s):  
CÀNH NGUYỄN THỊ
Keyword(s):  
Growth Rate ◽  
Statistical Methods ◽  
Business Performance ◽  
Research Data ◽  
Gdp Growth ◽  
Economic Sectors ◽  
Financial Efficiency ◽  
Gdp Growth Rate ◽  
Performance Analyses ◽  
Shed Light

The paper examines the socioeconomic and financial efficiency to evaluate the business performance of state-owned enterprises in comparison with that of others (private enterprises and FDI ones). Accordingly, it aims to determine the role and position of economic sectors and business types, especially state-owned ones, based on their contribution to the GDP growth rate and the business performance. Analyses shed light on strengths and weaknesses of each sector and enable to extend some solutions to the restructuring of state-owned enterprises and improvement in their business performance. The research data is secondary, which is collated from Vietnam?s Statistical Yearbooks from 2000 to 2012 and the annual corporate surveys of GSO in the period 2006 ? 2009. The descriptive and comparative statistical methods are employed to describe and compare figures of socioeconomic and financial efficiency.

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