scholarly journals Analisis Pertumbuhan Ekonomi Kawasan Sentra Produksi Subsektor Tanaman Pangan di Provinsi Sumatera Barat

2018 ◽  
Vol 2 (2) ◽  
pp. 171
Author(s):  
Fastabiqul Khairad ◽  
Melinda Noer ◽  
Mahdi Mahdi
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Food Crops ◽  
Analysis Tool ◽  
Agricultural Commodities ◽  
Productivity Level ◽  
Before And After ◽  
Food Commodities

<p class="ISI-Paragraf">This study aims to analyze economic growth of production centers of leading agricultural commodities food crops in West Sumatera Province. The data used in this study are secondary data with descriptive analysis tool by comparing the economic growth: GDP, agricultural sector and food crop subsector in West Sumatera Province before and after the establishment of production centers for food commodities. The productivity level of leading agricultural commodities in each region that has been determined tends to fluctuate and have not always increased. The rate of economic growth reflected in GDP of the food crops actually decreased significantly from 2014 to 2016. This illustrates that the establishment of production center areas has not fully been able to increase the productivity of production centers nor increase the economic growth of food crops subsector, agricultural sector and the overall economic growth rate in West Sumatera Province.</p>

ANALISIS SUB SEKTOR UNGGULAN YANG BERDAYA SAING PADA SEKTOR PERTANIAN DI KABUPATEN LANGKAT

TABULARASA ◽  
2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Muhammad Rif’an Harahap
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Local Governments ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Regional Economic Growth ◽  
Food Crops ◽  
Analysis Method ◽  
Welfare Society ◽  
Decentralized Governance

System changes from centralized to decentralized governance has provided an opportunity for local governments to regulate and manage Natural Resources (NR) and Human Resources (HR) in the region to create a welfare society can be characterized by the growth of regional economic growth. The research was conducted to determine the contribution and sub-sectors growth in the agricultural sector and a base and competitive sub-sectors so that it can be seen the leading subsectors of agriculture. The analysis method used is descriptive analysis will illustrate how the rate of growth and the contribution of sub-sectors in the agricultural sector. Location Quetiont (LQ) Analysis was used to determine the base and non-base sub-sector. While the analysis of Revealed Comparative Advantage (RCA) is used to see the sub-sector competitiveness. The combination of LQ and RCA analysis can then be used to determine the leading sub-sector. From the analysis it is known that sub-sector of the agricultural sector is a base sub-sector which has the potential to become the leading sub-sector. Meanwhile, from the RCA analysis is known that the base of the agricultural sector has a highly competitive sub-sectors are food crops, tree crops, livestock and forestry.

ANALISIS SUB SEKTOR UNGGULAN YANG BERDAYA SAING PADA SEKTOR PERTANIAN DI KABUPATEN LANGKAT

TABULARASA ◽  
2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Muhammad Rif’an Harahap
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Local Governments ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Regional Economic Growth ◽  
Food Crops ◽  
Analysis Method ◽  
Welfare Society ◽  
Decentralized Governance

System changes from centralized to decentralized governance has provided an opportunity for local governments to regulate and manage Natural Resources (NR) and Human Resources (HR) in the region to create a welfare society can be characterized by the growth of regional economic growth. The research was conducted to determine the contribution and sub-sectors growth in the agricultural sector and a base and competitive sub-sectors so that it can be seen the leading subsectors of agriculture. The analysis method used is descriptive analysis will illustrate how the rate of growth and the contribution of sub-sectors in the agricultural sector. Location Quetiont (LQ) Analysis was used to determine the base and non-base sub-sector. While the analysis of Revealed Comparative Advantage (RCA) is used to see the sub-sector competitiveness. The combination of LQ and RCA analysis can then be used to determine the leading sub-sector. From the analysis it is known that sub-sector of the agricultural sector is a base sub-sector which has the potential to become the leading sub-sector. Meanwhile, from the RCA analysis is known that the base of the agricultural sector has a highly competitive sub-sectors are food crops, tree crops, livestock and forestry.

scholarly journals Dampak Pandemi Covid-19 terhadap Pertumbuhan Ekonomi dan Perdagangan Komoditas Pertanian di Indonesia

2021 ◽  
Vol 5 (3) ◽  
pp. 950-961
Author(s):  
Fitria Sadiyah ◽  
Keyword(s):  
Economic Growth ◽  
Trade Balance ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
High Price ◽  
Stock Management ◽  
Agricultural Commodity ◽  
The Government ◽  
Food Commodities ◽  
The Impact

This study aims to analyze economic growth in Indonesia during the Covid-19 pandemic by using the growth of Gross Domestic Product (GDP) with a comparison of the previous year in the same quarter (y-on-y) and also a comparison with the previous quarter (q-to-y). q). The second objective of this research is to analyze price disparities, price fluctuations, and the trade balance of agricultural commodities. The method used in this research is descriptive analysis. The results of this study explain that economic growth in Indonesia during the Covid-19 pandemic has decreased, starting from the second quarter of 2020 to the first quarter of 2021. Meanwhile, the impact of the Covid-19 pandemic in the agricultural commodity trading sector, namely the existence of a high price disparity reaching above 50% in several commodities such as chicken meat, red chili, beef, and shallots. However, there is price stability for rice, chicken eggs, cooking oil, and sugar commodities. In the trade balance during the Covid-19 pandemic, there was a deficit of 14 thousand tons for beef/buffalo commodities in the January-May 2021 period, while other staple food commodities experienced a surplus. To overcome the problems of trade and economic growth in the agricultural sector, the government should integrate the main market network, improve stock management and logistics, and increase production

scholarly journals Introduction

2022 ◽  
pp. 1-9
Author(s):  
Ashok Gulati
Keyword(s):  
Fruits And Vegetables ◽  
Agricultural Sector ◽  
Green Revolution ◽  
Food Crops ◽  
Agricultural Commodities ◽  
Productivity Level ◽  
Food Grains ◽  
The World ◽  
The 1960S

AbstractIndia has come a long way from being a food scarce nation in the 1960s to a food surplus nation thereafter. The remarkable transformation of the agricultural sector was the result of massive improvements in productivity level owing to the Green Revolution in the case of cereals and the breakthrough that followed in few other agricultural commodities, most notably, dairying. Today, India is the largest producer of milk, pulses, banana, mango, pomegranate, papaya, lemon, okra, ginger and non-food crops like cotton and jute; the second-largest producer of rice, wheat, fruits and vegetables, tea and one of the leading producers of eggs and meat in the world. India produced 281.8 million tonnes of food grains, 307.7 million tonnes of horticulture crops, 176.5 million tonnes of milk, 96 billion eggs and 7.7 million tonnes of meat during TE 2018–19.

Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

scholarly journals INDIKATOR MAKROEKONOMI DAN PEMBANGUNAN KOTA BANDUNG

2019 ◽  
pp. 622
Author(s):  
Teguh Santoso ◽  
Bayu Kharisma
Keyword(s):  
Economic Growth ◽  
Poverty Reduction ◽  
Moving Average ◽  
Descriptive Analysis ◽  
High Rate ◽  
Purchasing Power ◽  
Autoregressive Moving Average Model ◽  
Food Commodities ◽  
The City ◽  
Poverty Levels

The high rate of inflation has the potential to increase poverty because it can reduce people's purchasing power, where if inflation rises significantly it can shift the people who are categorized as not poor, become vulnerable to poverty, almost poor and even poor. The aims of this study are to analyze the development of macroeconomic indicators, namely inflation and economic growth that are associated with poverty levels in the city of Bandung. The methodology used in this study is descriptive analysis and the ARMA (autoregressive moving average) model. The results showed that the high inflation in the city of Bandung compared to national and West Java inflation carries its own burden for the economy of the community, where purchasing power will decrease when inflation rises significantly and will have an impact on people's welfare. Inflation in the city of Bandung is often due to the price of food commodities (volatile food inflation). In addition, the high economic growth in the city of Bandung is not directly proportional to the decline in poverty levels. This shows that the quality of economic growth in the city of Bandung has problems that need attention. Therefore, local government in their efforts to encourage economic growth must prioritize poverty reduction and inequality.

ANALISIS PENERIMAAN PPH PASAL 4 AYAT 2 SEBELUM DAN SESUDAH PENERAPAN PERATURAN PEMERINTAH NOMOR 46 TAHUN 2013 (Studi Pada Kantor Pelayanan Pajak Pratama Pamekasan)

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Subhan Subhan ◽  
Ferdian Dwi Cahyo
Keyword(s):  
Income Tax ◽  
Quantitative Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Tax Revenue ◽  
Average Growth ◽  
Before And After ◽  
Secondary Data Source ◽  
Data Source ◽  
Income Tax Revenue

The purpose of this reseach to compare the income tax revenue of Article 4 paragraph 2 and the number of taxpayers before and after the implementation of PP No.46 of 2013 in the KPP Pratama Pamekasan. The data of this research is quantitative data. Source of data used in this research is secondary data. Source of data used in this research is secondary data. whereas secondary data were the Taxpayer Data and acceptance of Income Tax Article 4 paragraph 2 which is registered in KPP Pratama Pamekasan.Using descriptive analysis, the results showed that the implementation of PP No.46 of 2013 affect the acceptance of income tax article 4 paragraph 2. average growth before the implementation of  PP No. 46 of 2013 amounted to 12.01%, after the implementation of PP No. 46 of 2013 the average growth of after 16.72%. The result is strengthened by the result of paired test of t-test that is 0.000 0,05. So the acceptance of Income Tax Article 4 paragraph 2 increased by 4.71%. Average growth The number of taxpayers has increased. before the implementation of PP No. 46 of 2013 amounted to 25.44% and after the implementation of PP No. 46 of 2013 for the implementation of PP No. 46 of 2013 amounted to 33.80%.

scholarly journals PERSEPSI GENERASI MUDA TERHADAP KEGIATAN PERTANIAN DI KELURAHAN BUHA KECAMATAN MAPANGET KOTA MANADO

2018 ◽  
Vol 14 (3) ◽  
pp. 123 ◽  
Author(s):  
Carolina Sofya Werembinan ◽  
Caroline B. D. Pakasi ◽  
Lyndon R. J. Pangemanan
Keyword(s):  
Agricultural Sector ◽  
Agricultural Land ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Young Generation ◽  
Agricultural Activities ◽  
Gender And Age ◽  
Younger Generation ◽  
Parental Work

This study aims to determine the perceptions of the younger generation of agricultural activities in the Buha Sub-District of Mapanget District. This research was carried out from August 2017 to May 2018. Primary data was collected through interviews of 15 generations of young people with the help of filling out questionnaires. Secondary data was obtained from the Buha Village Office, Mapanget District. This analysis uses descriptive analysis. The results of this study indicate that the perception of the younger generation of agricultural activities in the Buha Sub-District is overall negative for agricultural activities. Viewed from internal factors include education, employment, gender and age. The higher the level of education, the wider the insight of the younger generation so that the lack of interest in the younger generation in agricultural activities is getting bigger. The younger generation who already have permanent jobs in the non-agricultural sector look down on agricultural activities because they assume that agricultural activities have a low social level. Women have a low interest in agricultural activities because they assume that agricultural activities are not suitable for women because it will damage their appearance. Respondents aged 21-30 years have a low interest in agricultural activities, in addition to reduced agricultural land. External factors include socialization, parental work status and land ownership status. The younger generation with a low level of socialization results in a lack of interest in the younger generation in agricultural activities. Parents of respondents who work in agriculture or non-agriculture do not want their children to make agricultural activities the main job. The young generation whose parents still own agricultural land is still doing agricultural activities to help their parents work on their farms.

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

scholarly journals Agricultural Sector FDI and Economic Growth in Saarc Countries

2019 ◽  
Vol 8 (2S10) ◽  
pp. 116-121
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Agricultural Sector ◽  
South Asians ◽  
Secondary Data ◽  
Agricultural Products ◽  
Fdi Inflows ◽  
Important Relationship ◽  
The Relationship

The study seeks to establish the relationship between foreign direct investment to Saarc region agricultural sector and economic growth with secondary data. SAARC comprises 3% of the world's area, 21% of the world's population and 3.8% (US$2.9 trillion) making up a total of 3% of the world’s area. The country has second in all over the world in terms of agriculture position. The population obliquely all of the member states is over 1.7 billion, accounting for 21% of the world’s total population. In their 42% of the agricultural operation in SAARC nations and also 51% source of livelihood of the South Asians. The study has revealed that India alone accounts for 52 per cent of the agricultural products using the SAARC region peoples. For the present study, a total of 34 groups related to the agricultural products were selected out of the total groups. The techniques employed to analyze the data include descriptive statistic, correlation and linear forecast method. The study also revealed a positive and important relationship between economic growth and foreign direct investment flow to the agricultural sector. Thus, the study recommends that policy should focus on flexible trade policies to attract more foreign direct investment (FDI) inflows to SAARC nations. i.e. Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan, Sri Lanka including India

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