scholarly journals Agriculture Policy Scores of Selected Countries Through the Technique for Order of Preference (TOPSIS) Method

2021 ◽  
Vol 45 (340) ◽  
pp. 7-12
Author(s):  
Abdulhakim Madiyoh ◽  
Özlem Turan ◽  
Serkan Gürlük
Keyword(s):  
Agricultural Policy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Industrial Sector ◽  
Series Data ◽  
Topsis Method ◽  
Financial Investment ◽  
Policy Performance ◽  
Brunei Darussalam ◽  
Self Sufficiency

Abstract The purpose of this paper is to demonstrate the performance of agricultural sectors in the Association of Southeast Asian Nations (ASEAN) countries using selected criteria, to identify the deficiencies in agricultural policies, to explore competitive advantages and to guide food and nutrition policies. The analyses of this research use the secondary of time series data between the years 1967 - 2016 from 10 countries including; Brunei Darussalam, Cambodia, Indonesia, Laos PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam which are the member of ASEAN. This research uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and the data used for the mentioned countries include the following criteria; total agricultural production value of the land, self-sufficiency of animal products criteria, self-sufficiency of crop products criteria, rural population rate, greenhouse gas emissions from agriculture, and value of foreign trade in agricultural products. The result of proximity coefficients calculated with the TOPSIS method, which according to the number of proximity and maximum benefit analysis should be done according to the order of preference. It is stated that Thailand, Philippines and Indonesia were the most successful countries in the agricultural policy performance in 1967. As for last decades, Malaysia became the most successful country in agricultural policy performance. We can infer from the results that Malay industrial sector triggered the agricultural sector by supplying financial investment atmosphere.

scholarly journals Study komperasi struktur ekonomi Negara ASEAN

2020 ◽  
Vol 9 (1) ◽  
pp. 37-50
Author(s):  
Syaparuddin Syaparuddin ◽  
Selamet Rahmadi ◽  
Yusnita Yusnita
Keyword(s):  
Service Sector ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Economic Structure ◽  
Industrial Sector ◽  
The Philippines ◽  
Series Data ◽  
Brunei Darussalam ◽  
Asean Countries

This study aims to analyze: 1) changes in the economic structure of ASEAN countries; 2) comparison of the economic structure of ASEAN countries. The data used in this research is secondary data which includes 2000-2016 time-series data and 10 countries cross-sections. Based on the results of the analysis, it shows that changes in the economic structure of ASEAN countries from 2000 to 2016 fluctuated each year. It can be seen from the GDP data on the average contribution of sectors based on business fields and based on shifting sub-sectors, namely the agricultural sector, the industrial sector, and the service sector. From the economic structure of ASEAN countries apart from (Singapore) for the agricultural sector, the largest contribution was Myanmar 40.55%, and the lowest contribution was Brunei Darussalam 0.89%. For the industrial sector, the largest contribution was Brunei Darussalam 66.79%, and the lowest contribution was Myanmar 23.22%. The service sector with the largest contribution was the Philippines at 54.91%, and the lowest contribution was Brunei Darussalam 32.31%. Keywords: Leading sector, Shift-share, Economic Structure, GDP

scholarly journals The Influence of Economic Transformation From The Agricultural Sector To The Industrial Sector To Economic Growth In Indonesia

2018 ◽  
Vol 1 (1) ◽  
pp. 6-11
Author(s):  
Abdulrahman Taresh Abdullah ◽  
Mohammad Wasil
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Industrial Sector ◽  
Economic Transformation ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Industrial Sectors ◽  
Vector Error

The purpose of this research is the research and development of the industrial sector's economy to the agricultural sector, as well as the influence of agricultural and industrial sectors on economic growth in Indonesia. The data used is time series data, 1960-2015. The method used in this research is Vector Error Correction Model (VECM). From the estimation results, it is concluded that the economic growth rate and the industrial sector negatively affect the agricultural sector, it can be said that the increasing economic growth achieved in Indonesia has increased the industrial sector and lower the agricultural sector. While the results of research that the agricultural sector negatively affect the economic growth while the industrial sector positively affects economic growth, in the sense that the agricultural sector has a bad contribution in economic growth in Indonesia.

scholarly journals The National Banking Crisis in Applied Early Warning System (EWS)

2018 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Nadia Sasri W
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Warning System ◽  
Industrial Sector ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Industrial Sectors ◽  
Vector Error

The purpose of this research is the research and development of the industrial sector's economy to the agricultural sector, as well as the influence of agricultural and industrial sectors on economic growth in Indonesia. The data used is time series data, 1960-2015. The method used in this research is Vector Error Correction Model (VECM). From the estimation results, it is concluded that the economic growth rate and the industrial sector negatively affect the agricultural sector, it can be said that the increasing economic growth achieved in Indonesia has increased the industrial sector and lower the agricultural sector. While the results of research that the agricultural sector negatively affect the economic growth while the industrial sector positively affects economic growth, in the sense that the agricultural sector has a bad contribution in economic growth in Indonesia.

scholarly journals The Impact of Financing in Islamic Banking on Indonesian Economic Growth

2021 ◽  
Vol 25 (1) ◽  
pp. 111-116
Author(s):  
Rasyida Pertiwi ◽  
◽  
Ahmad Syathiri ◽  
Anna Yulianita ◽  
Imam Asngari ◽  
...  
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Industrial Sector ◽  
Least Square ◽  
Series Data ◽  
Islamic Banking ◽  
Construction Sector ◽  
Ordinary Least Square ◽  
The Impact

Abstract. Introduction. Islamic finance can play an important role in encouraging economic growth in Indonesia, namely by financing the real sectors. The role of Islamic banking in providing capital assistance for real sectors is one of the locomotives of economic growth in Indonesia. This research will focus on financing strategic sectors to support the development of a higher and more competitive economy. So that it is known which sectors have played a major role in boosting Indonesia’s economic growth. The sectors to be studied are agriculture, mining, construction, industry, electricity, gas and water in Islamic banking. This study uses descriptive and quantitative analysis using Eviews 9 to simplify data calculations and estimation and using time series data with Ordinary Least Square Approach. Purpose. This research is conducted to investigate the impact of Islamic bank financing on agriculturer sector, mining, industry, electricity, gas and water supply and Construction sector to Indonesia economic growth over the period 2011Q1 -2019Q4. Results. Based on the results of data processing, it is known that Islamic banking financing in the agricultural sector, mining, electricity, gas and water and conctruction sector has a positive effect on economic growth. Meanwhile industrial sector in Islamic banking does not have a significant effect on economic growth. An increase in industrial sector financing by 1 percent is able to reduce GDP by 0.46940 percent. Conclusion: This estimation shows R-Square value is 98 percent influenced by variable financing in the agricultural sector, mining sector, industrial sector, electricity sector, gas and water and the construction sector, while the remaining 2 percent is influenced by other variables outside the model. The agriculture, mining, electricity, gas & water and construction sectors have a positive influence on economic growth. Meanwhile, the industrial sector has a negative influence on economic growth. Keywords: economic growth; Islamic banking; sectoral financing; Ordinary Least Square.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

Impact of Health and Agriculture Financing on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 37-58
Author(s):  
Rasaki Olufemi KAREEM ◽  
◽  
Olawale LATEEF ◽  
Muideen Adejare ISIAKA ◽  
Kamilu RAHEEM ◽  
...  
Keyword(s):  
Economic Growth ◽  
Federal Government ◽  
Causal Relationship ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Government Expenditure ◽  
Health Sector ◽  
Series Data ◽  
The Impact

The study focused on the impact of health and agriculture financing on economic growth in Nigeria from 1981 to 2019. The study utilized the time series data which was extracted from Central Bank of Nigeria annual statistical bulletin. Unit Root test was performed with the use of Augmented Dickey-Fuller test in order to ascertain the stationarity of all the variables and they were all found to be stationary at order 1 in the two specified models (composite and disaggregated). Error Correction Model (ECM) was used to analyze the data in order to determine the speed of adjustment from the short run to the long run equilibrium state. Casualty test was used to confirm causal relationship among the variables of interests. The study revealed that Federal Government expenditure in Health sector has a significant effect on economic growth in Nigeria. Federal Government expenditure in Agricultural sector equally had a positive effect on economic growth but surprisingly not significant. Considering the disaggregated form, Federal Government capital expenditure in both Health and Agricultural sectors have positive and statistically significant effect on economic growth while Federal Government recurrent expenditure on health has a positive and statistically insignificant effect in economic. It was also revealed that there is causal relationship among the variables. Based on the findings, the study concluded that Federal Government Expenditure in Health Sectors and Agriculture Sectors have effect on economic growth in Nigeria.

scholarly journals Pengaruh Industri Sedang dan Besar Terhadap Tingkat Kemiskinan di Kabupaten Gresik Tahun 2002-2016

2021 ◽  
Vol 4 (1) ◽  
pp. 25-31
Author(s):  
Rohmatul Janah ◽  
Ida Nuraini
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Industrial Sector ◽  
Poverty Rate ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Poverty Levels

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals Effect of Economic Integration on Agricultural Export Performance in Selected West African Countries

Economies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 79
Author(s):  
Olatunji Abdul Shobande
Keyword(s):  
Economic Integration ◽  
Fixed Effects ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Agricultural Research ◽  
Export Performance ◽  
Strong Predictor ◽  
West African ◽  
Series Data ◽  
Agricultural Export

The paper investigates the effect of economic integration on agricultural export performance in West African economies using the gravity model of bilateral trade on the annual time series data straddling the period 1970 to 2016. The empirical evidence is based on the pooled OLS and fixed effects estimator. We find that economic integration, as measured by trade openness, is a remarkably strong predictor of export performance in the region. We also examine the effect of geographical distance measured by effective nominal exchange rates and we find it has a negative effect on agricultural export performance. The paper recommends the adoption of a common currency to help mitigate exchange rate negativity that serves as resistance to trade in the region. Likewise, proactive agricultural research, extension and market driven strategies are strongly advocated for driven competition and economic efficiency within the regional agricultural sector.

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

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