scholarly journals Does the Development of the Agricultural Sector Affect the Manufacturing Sector?

2018 ◽  
pp. 209-239
Author(s):  
Namalguebzanga Christian Kafando
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector

Commercial Banks Credit and the Performance of Real Sector in Nigeria: 1990-2017

2020 ◽  
pp. 1-15
Keyword(s):  
Central Bank ◽  
Commercial Banks ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Bank Lending ◽  
Real Sector ◽  
Agricultural Credit ◽  
The Real ◽  
Scientific Discussion ◽  
The Cost

The study examined the arguments and counterarguments within the scientific discussion on commercial banks credit and the performance of real sector in Nigeria. The main objective of the study is to examine the effect of commercial banks credit on the performance of the real sector in Nigeria.Data was sourced from Central Bank of Nigeria Statistical Bulletin. A systematization literary approach for data analysis was Regression Analysis. Findings revealed that bank credit and bank lending rate does not have significant impact on real sector performance in Nigeria. It was showed that there was a positive and significant relationship between agricultural credit guarantee scheme fund and agricultural production in Nigeria. The study therefore recommends that banks should be directed to channel their credits towards the real sector to facilitate overall economic growth and development in Nigeria. It was recommended that there is the need policies that will favor the revamp of the agricultural sector in Nigeria should be given pride of place. Also, monetary authority through the Central Bank of Nigeria should create adequate policies and strategies towards deepening of the financial sector and reducing the cost of credit/loans so as to enhance productivity and consequently enhance the growth of the key sectors of economy such as manufacturing sector.

scholarly journals Agriculture, Manufacturing and Economic Growth in Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Atayi Abraham Vincent ◽  
Keyword(s):  
Government Spending ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Research Work ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
The Government ◽  
Positive Effect

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.

scholarly journals Agriculture Sector Credit and Output Relationship in Nepal

2020 ◽  
pp. 33-53
Author(s):  
Arjun Kumar Dahal ◽  
Khagendra Kumar Thapa
Keyword(s):  
Commercial Banks ◽  
Agricultural Sector ◽  
Least Squares Method ◽  
Manufacturing Sector ◽  
Agriculture Sector ◽  
Industrial Sectors ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

Purpose: The purpose of this study is to find out the condition of priority of commercial banks to provide loans to the agricultural sector and to find the relationship and impact of agricultural loans to the agricultural GDP of Nepal. Objectives: This study aims to compare the condition of loan disbursements in agricultural and manufacturing sectors. It further aims to compare loan percent with growth and contribution to the GDP of the agricultural and industrial sectors and tries to show the impact of agricultural loans to the agricultural GDP of Nepal. Methods: It was based on a descriptive and analytical research design. Statistical tools standard deviation, correlation, regression, etc. are used and Excel, and EViews software are used for the statistical calculations. Statistical calculations and graphs are simultaneously used to show and compare the condition of variables. Results: Commercial banks give higher priority to the manufacturing sector for loans than the agricultural sector. The Johansen Co-integration test indicates no long-run relationship between loans of commercial banks and agricultural output in Nepal. However, the least-squares method, it indicates that a positive causal relationship between agricultural loans and agricultural growth. Implications: The loans of commercial banks directly stimulate the growth of agriculture but the amount of growth is less noticeable. Thus, it is concluded that the commercial bank's loan alone cannot affect and control the growth of the agricultural sector of the Nepalese economy therefore the government should increase its expenditure on the agricultural sector.

Enterprise Expansion and Opportunities for Expansion in Agriculture

2018 ◽  
pp. 88-101
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Youth Participation ◽  
Raw Material ◽  
Going Concern ◽  
Agricultural Transformation ◽  
Agricultural Enterprise ◽  
Business As Usual

It has often been stated that the agricultural sector has the potential to provide the needed raw material for the manufacturing sector. It is pertinent to clearly identify this potential, interrogate why it still remains potential, and more importantly, suggest workable ways to sustainably and profitably exploit the potential as a going concern. This chapter is therefore designed to focus on enterprise expansion and opportunities for expansion in agriculture. The chapter is divided into the following sections: “Characteristics of Agriculture in Nigeria,” “Determinants of Youth Participation in Agriculture,” “Agricultural Enterprise Expansion and Agricultural Transformation,” “Enhancing Enterprise Expansion,” and “Opportunities in Agriculture.” The chapter concludes that for the potential of agriculture in an economy to be realized, the relevant stakeholders should know that business as usual is not an acceptable option; yield-increasing and enterprise-expansion-inducing strategies should be implemented in both the short and the long term. Recommendations are made to enable those engaged in agriculture to profit by it and increase in both output and in scale.

scholarly journals Tax Revenue Effort in Nigeria

2019 ◽  
Vol 8 (1) ◽  
pp. 103
Author(s):  
Jude Ohi Ikhatua ◽  
Peter Okoeguale Ibadin
Keyword(s):  
Human Capital ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Trade Openness ◽  
Capital Flight ◽  
Tax Revenue ◽  
Human Capital Development ◽  
Telecommunication Sector ◽  
Tourism Sector ◽  
Capital Development

Today, countries, especially the developing ones rebase their Gross Domestic Product (GDP) to determine their economic strength. Nigeria as an acclaimed giant in Africa cannot but continuously examine variables which may impact the economy. It is in this light that this study was intended to investigate the Determinants of Tax Revenue Effort in Nigeria. To achieve this, secondary data, as time series data, covering a period of 1980 to 2015, were used and sourced from the Central Bank of Nigeria Statistical Bulletin, Annual Abstract from the Office of the National Bureau of Statistics and the Federal Inland Revenue Service, both in Nigeria. The dependent variable of Tax Revenue Effort (TTAXeff) was regressed on macro independent variables of Agricultural Sector Productivity(AGRICSP), Manufacturing Sector Productivity (MANSP), Tourism Sector Productivity(TOURSP), Telecommunication Sector Productivity(TELCOMSP), Capital Flight(CAPFR), Trade Openness (TOPEN) and Human Capital Development(HCD). The study adopted a longitudinal research design and used the Autoregressive Distributed Lag (ARDL) technique to evaluate the models. The findings revealed that Agricultural Sector Productivity, Tourism Sector Productivity, Trade Openness and Human Capital Development had significant and positive effects on Tax Revenue Effort in Nigeria. The Manufacturing Sector Productivity, Telecommunication Sector Productivity and Capital Flight had significant but negative effects on Tax Revenue Effort in Nigeria. There is however the need to consistently ensure better performance of tax efforts in the country through strict and meticulous enforcement of tax rules and tax administrations procedures in the country.

Performance and Determinants of India’s GDP Since 1950: A Quantitative Analysis

2008 ◽  
Vol 4 (2) ◽  
pp. 106-131
Author(s):  
Alok Kumar Pandey ◽  
Annapurna Dixit
Keyword(s):  
Structural Adjustment ◽  
Service Sector ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Indian Economy ◽  
Export Sector ◽  
Policy Measures ◽  
The Government ◽  
Structural Adjustment Programmes ◽  
Sector Service

he planned economic development during the 40 years period (1950-91) has showed a mixed scenario. For example per annum growth in GDP during first fifteen years 1950-65 was found at 4 percent while during the period 1967-80 it declined marginally and stood at merely 3.45 percent per annum. However the decade of eighties which witnessed improvement in Agricultural sector, Mining & Manufacturing sector, Service sector and Export sector has resulted in 5.46 per cent per annum growth in the GDP. In this connection it is significant to observe that the overall growth in GDP during the period 1950 to 1991 was not very impressive due to constant pulls and pressures. In the early 1991, Indian economy faced several economic crises, like fiscal imbalances, mounting inflationary pressures and severe balance of payment crisis etc. The congress government, which assumed office at the end of June 1991, responded quickly to these problems. As a rescue measure, a series of new policy measures were announced in July 1991 by the government of India. These are also known as Structural Adjustment Programmes (SAPs) of 1991.The major thrust of present paper is to evaluate the performance (for the period 1950 to 2006) as well as determinants (for the period 1975 to 2006) of Gross Domestic Product (GDP) of Indian economy.

scholarly journals Modeling the impact assessment of agricultural sector on economic development as a basis for the country’s investment potential

2019 ◽  
Vol 16 (3) ◽  
pp. 229-240
Author(s):  
Alina Bukhtiarova ◽  
Arsen Hayriyan ◽  
Victor Chentsov ◽  
Sergii Sokol
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Value Added ◽  
The Cost ◽  
The Impact

In the context of countries integration into the world economic space, agricultural sector is one of the priorities and strategically important sectors of the national economy. Development of instruments aimed to increase investment potential of this sector is therefore an important component of the country’s economy growth. The article proposes a science-based model of the impact of the agricultural sector on the economic development level of countries trying to move towards European integration.It was found that the employment rate (+58.4) has the largest influence on the rate of GDP change in the studied group of countries (Ukraine, Moldova, Georgia, Armenia). The impact of the gross value added of the manufacturing sector on its economic growth is positive (+44.6). The negative foreign direct investment ratio in the model (–40.3) may be due to the fact that the indicator in the studied countries is still largely influenced by the intervention of the state mechanism, significant uncertainty and risk, which is a deterrent to the overall economic development. An important result of the study was that foreign direct investment had a negative impact on economic growth in developing countries. Further development of the investment potential of a country’s agricultural sector provides for a radical acceleration of scientific and technological progress and, on this basis, a reduction in the cost of a unit of agricultural products and food and an increase in their competitiveness in the domestic and world markets.

scholarly journals Sektor Unggulan dan Keterkaitan Spasial Ekonomi Antar Kabupaten/Kota di Jawa Tengah

2018 ◽  
Vol 7 (3) ◽  
pp. 243-250
Author(s):  
Muhammad Tsaaqibul Fikri ◽  
Fafurida Fafurida
Keyword(s):  
Spatial Correlation ◽  
Service Sector ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Hot Spot ◽  
Central Java ◽  
Comparative Advantages ◽  
Competitiveness Index

Tujuan dari penelitian ini adalah untuk mengidentifikasi sektor apa saja yang menjadi unggulan kabupaten/kota di Jawa Tengah dan bagaimana keterkaitan spasialnya. Penelitian ini dilakukan dengan menggunakan alat analisis LQ, Shift-Share dan Tipologi Klassen untuk mengetahui sektor dengan keunggulan komparatif dan kompetitif. Indeks Moran dan LISA untuk mengetahui keterkaitan spasial antar daerah secara global dan lokal. Hasil penelitian ini menunjukkan  sektor unggulan yang mayoritas dimiliki kabupaten/kota di Jawa Tengah adalah sektor jasa-jasa, sektor pertanian serta sektor pertambangan dan penggalian. Adapun hasil dari analisis keterkaitan spasial kabupaten/kota di Jawa Tengah terdapat keterkaitan spasial yang signifikan dan bernilai high-high (hot-spot) pada sektor pertanian di kawasan Kabupaten Banjarnegara, Kabupaten Wonosobo dan Kabupaten Blora, sektor pertambangan dan penggalian di kawasan Kabupaten Blora, sektor industri pengolahan di kawasan Kabupaten Jepara dan sektor jasa­jasa di kawasan Kabupaten Magelang. Sehingga keterkaitan tersebut dapat menjadi dasar untuk membentuk kerjasama antar kabupaten/kota agar pembangunan dapat dilakukan lebih merata. The purpose of this study was to determine what sectors of the superior districts/cities in Central Java and how the spatial correlation patterns did. This research was conducted using LQ, Shift-Share and Typology Klassen to determine sectors with comparative advantages and competitiveness, Index Moran and LISA to determine the spatial correlation between the districts/cities. The results of this study indicated that the majority of the superior sectors of the districts/cities in Central Java are in sector services, the agricultural sector and in mining and excavating sector. The results of the analysis of the spatial correlation patterns  in districts/cities in Central Java are significant spatial correlation pattrens and valuable high-high (hot-spot) in the agricultural sector in  Banjarnegara, Wonosobo and Blora area, mining and excavatinf sector in Blora area, the manufacturing sector in the region  of Jepara district and service sector in Magelang regency area. So that the association can be the basis to establish cooperation between districts / cities that development can be made more equitable.

scholarly journals Potensi dan Prospek Industri Kecil

The Winners ◽  
2006 ◽  
Vol 7 (2) ◽  
pp. 164
Author(s):  
Dedi Walujadi
Keyword(s):  
Gross Domestic Product ◽  
Empirical Evidence ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Value Added ◽  
Manufacturing Industries ◽  
Domestic Product ◽  
Small Scale ◽  
Main Contributor ◽  
Economic Contribution

The manufacturing sector has retained its importance in the Indonesian Economy. Since 1990 it has surpassed the agricultural sector as the main contributor to the Gross Domestic Product (GDP). Article analyses strenght and weaknesses of the small-scale manufacturing industries (SSIs). By ussing the economic contribution approach and the framework proposed by Pyke, based on 2003 data provided by BPS statistics Indonesiathe study investigates the SSIs performance in relation to their economic contribution, the collective efficiency, constant innovation and economic ofscope strategy. It is conluded that Pyke’s framework was not apply since SSIs facing lack of social infrastructures and knowledge, and mostly less educated compared with the larger one. The empirical evidence also shows that in terms of value added and labor absorption, its share less than 1 % and 16 % respectively of the whole of industrialsectors. 

scholarly journals Commodity Revenues, Agricultural Sector and the Magnitude of Deindustrialization: A Novel Multisector Perspective

Economies ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 113 ◽  
Author(s):  
Elkhan Richard Sadik-Zada ◽  
Wilhelm Loewenstein ◽  
Yadulla Hasanli
Keyword(s):  
Natural Resource ◽  
Fixed Effects ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Special Focus ◽  
Economic Sectors ◽  
Sector Model ◽  
Common Correlated Effects ◽  
The Individual

This study puts forward a model of a multisector economy and embeds it in a novel theoretical framework to address the relationship between commodity revenues and manufacturing output with a special focus on the role of the agricultural sector. The three-sector model lays the groundwork for analyzing policy choices in more complex sectoral settings. Based on the theoretical analysis, the study identifies the weight of the individual economic sectors in the public revenue generation as a determinant of the magnitude of rent seeking epitomized in the crowding out effect of investments in manufacturing. We find that enclave agriculture contributes to the deindustrialization pressure in the face of natural resource windfalls. The central finding of the multisector analysis is the conclusion that not diversification per se but rather a diversification with the substantial domestic factor or market orientation has the capability to limit the magnitude of deindustrialization. For the empirical validation of the theoretical findings, the study employs fixed effects, fully modified OLS, dynamic common correlated effects estimators and dynamic fixed effects estimators for the dataset of 113 developing and transition economies for 1963–2014 period. The estimations reveal that natural resource revenues correspond with a higher level of the manufacturing sector output. In the economies with a low level of economic diversification, commodity bonanza leads however to the shrinkage of the manufacturing. In the commodity revenue dependent settings, nevertheless, agricultural sector exports have a negative impact on the performance of the manufacturing sector. These findings are in line with the predictions of the theoretical model.

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