Concentrate on Industry, Give Some Money and Subsidies to Agriculture Will this attitude Revive Industrial Growth

Paradigm ◽  
1998 ◽  
Vol 1 (2) ◽  
pp. 78-81
Author(s):  
Rakesh Singh
Keyword(s):  
Growth Rate ◽  
Rural Development ◽  
Agricultural Development ◽  
Vicious Circle ◽  
Industrial Growth ◽  
Agricultural Growth ◽  
Agricultural Investment

The article analyses the budgetary allocations for agriculture and rural development and suggests what needs to be done to enhance agricultural growth. There is a dire need to increase investment in agriculture so that the vicious circle trap can be broken up and economy could achieve high agricultural growth rate in real terms. The major stumbling block in agricultural development has been the falling agricultural investment since the mid eighties. It is thus necessary to reverse the trend.

scholarly journals A Critical Review of Rural Credit Policy in Pakistan

1992 ◽  
Vol 31 (4II) ◽  
pp. 781-801 ◽  
Author(s):  
Sarfraz Khan Qureshi ◽  
Akhtiar H. Shah
Keyword(s):  
Growth Rate ◽  
Financial Institutions ◽  
Agricultural Development ◽  
Annual Growth Rate ◽  
Credit Policy ◽  
Agricultural Credit ◽  
Rural Sector ◽  
Agricultural Growth ◽  
Rural Credit ◽  
Farm Credit

Lack of liquidity which acts as a constraint for agricultural development has provided a rationale for rapid growth in formal agricultural credit in Pakistan since the early 1960s. Between 1959-60 and 1991-92 institutional credit for the sector had registered an annual growth rate of 31 percent in nominal terms and 20 percent in real terms. The explosive increase in agricultural credit was accompanied by a creation of new financial institutions, the strengthening of already existing institutions and the adoption of credit policies to increase the flow of credit for the sector in general and for small farmers in particular. In this paper, an attempt is made to review farm credit policy in Pakistan in relation to its impact on agricultural growth and equity and to assess the strength of the credit institutions to keep contributi~g effectively to the provision of credit in the rural sector.

scholarly journals GOOD GOVERNANCE: A KEY TO ENHANCE AGRICULTURAL GROWTH IN INDIA

2016 ◽  
Vol 4 (10) ◽  
pp. 8-15
Author(s):  
Amrit Patel
Keyword(s):  
Growth Rate ◽  
Agricultural Development ◽  
Good Governance ◽  
Rural Poverty ◽  
Development Programs ◽  
Policy Makers ◽  
Agricultural Growth ◽  
The Government ◽  
Critical Components ◽  
Food And Nutritional Security

For India agricultural growth rate of minimum 4 percent per annum is a must to ensure livelihood of 48.9 percent population engaged in agriculture, food and nutritional security of country’s rising population and last but not the least to alleviate rural poverty. Since country’s Independence in 1947 and from the first five year plan to twelfth five year plan, the Government has initiated policy and formulated innumerable programs to accelerate the agricultural growth rate. However, not only the share of agriculture in India’s GDP progressively declined from 23.4% in the 9th five year plan[1997-02] to 17.60% in 2014-15 but also the agricultural growth rate during 2014-15 is abysmally the lowest at 0.2 percent as against country’s 7.3 percent economic growth rate. Food output in 2014-15 is estimated to be 251.12 million tons [MT] significantly less than 257.13 MT and 265.14 MT in 2012-13 and 2013-14 respectively. This, therefore, points to the focused need for good governance in agriculture right from the concern and commitment of policy-makers through transparent and farmer-friendly administration and implementation of agricultural development programs to the accountability to the farmers to achieve the targeted growth rate and development of agriculture. It is in this context, this development perspective article highlights critical components of good governance in agriculture.

Thinking About Rural Development.—By Arther T. Mosher. New York: Agricultural Development Council, Inc., 1976. xii+pp.350.

1978 ◽  
Vol 17 (3) ◽  
pp. 382-383
Author(s):  
Javed Iqbal
Keyword(s):  
New York ◽  
Rural Development ◽  
Agricultural Development ◽  
Complete List ◽  
Basic Defect ◽  
Considerable Length ◽  
Selection Of

This book is essentially a selection of the articles written by Arther T. Mosher during his long career as a rural development expert. Also appended at the end is a complete list of writings by him. The Agricultural Development Council has chosen to publish this book to honour the author, who was its President during 1967-1973, The publication of this book is welcome in the context of the recent rediscovery of rural development as a principal plank of need-oriented develop¬ment strategies. A basic defect of writing on rural development has been excessive resort to stereotype rehtoric, over-enthusiasm and a certain pedanticism. Fortunately, Mosher's orientation is practical, not doctrinaire. Although the book is titled "Thinking About Rural Development", the author keeps on bring¬ing together the thinking and practice into their validly interactive perspectives. Not surprisingly so, for the author has himself worked in the field as a rural development practitioner for a considerable length of time.

Growth and Performance of Agriculture Sector in India

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Naresh Singla ◽  
Mamandeep Kaur
Keyword(s):  
Growth Rate ◽  
Capital Formation ◽  
The Other ◽  
Agricultural Credit ◽  
Agricultural Growth ◽  
Indian Economy ◽  
Agriculture Sector ◽  
Food Grain ◽  
And Performance ◽  
Agricultural Labourers

The growth of agriculture and allied sectors is critical for the Indian economy as about 49 percent of the population is directly or indirectly dependent on agriculture. During the last decade and so, the agriculture sector has undergone profound changes resulting in sharp deceleration in its growth. The study has attempted to analyze growth and performance of the agriculture sector in India since 1980-81 and tries to comprehend some of the factors responsible for the deceleration in growth. The study has shown that agriculture sector has been able to show tremendous improvement in expansion of area and production of food grain and non-food grain crops. However, there are so many underlying factors responsible for slowdown of the agricultural growth. Some of the factors identified include: Increase in area under non-agriculture uses, excessive dependence on rain fed farming, increase in number of agricultural labourers, reducing size of the operation holdings, over use of agri-inputs, inequity in the distribution of agriculture credit along with sharp deceleration in public gross capital formation in agriculture etc. The study pointed in order to achieve higher growth rate, there is a need to enhance the gross capital formation in agriculture sector particularly on irrigation so that more area can be brought under assured irrigation. Bringing equity in distribution of agricultural credit coupled with judicious and need-based agricultural inputs are some of the other recommendations drawn based upon the study.

Structure of Economic Growth of the Countries of the Eurasian Union

2020 ◽  
Vol 152 ◽  
pp. 112-123
Author(s):  
Oleg S. Sukharev ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Mixed Model ◽  
Raw Materials ◽  
Growth Models ◽  
Structural Formula ◽  
Industrial Growth ◽  
Economic Relations ◽  
Macroeconomic Analysis ◽  
Investment Structure

The purpose of the study is to determine the existing growth models of the countries of the Eurasian Union by GDP expenditures and sectors (manufacturing, transactional raw materials). The research methodology is a macroeconomic analysis of the dynamics of the main indicator of economic development — gross domestic product. The research method is a structural analysis that allows you to get a structural formula for calculating the contribution of each component of GDP to the growth rate, as well as a comparative analysis of the dynamics models of the countries in question — Armenia, Belarus, Kazakhstan, Kyrgyzstan, Russia. The result of the study is the obtained structural relationships that make it possible to measure the influence of the investment structure on the growth rate, the criteria describing economic growth with a corresponding change in the country's national wealth, as well as the identification of models of economic dynamics by the countries of the Eurasian Union. It is indicative that the transaction sector dominates in Kazakhstan and Russia, while in other countries a mixed model is found, or industrial growth as in Belarus. According to the components of GDP and expenditures of the country, either a mixed or a consumer model is found (Kyrgyzstan, Russia), however, the contribution of government spending to the growth rate is provided only in Kazakhstan. It was also revealed that the reaction to the crisis of 2009 and 2015 was fundamentally different for the countries of the Eurasian Union. The search for the factor conditions of such a prevailing dynamics, as well as the influence of union economic relations on the formation of a growth model in each country, requires an expansion of research and an analytical perspective

scholarly journals THE PROGRAM FOR RURAL DEVELOPMENT FOR THE PERIOD 2014-2020 AS A FACTOR FOR THE RURAL REGIONS DEVELOPMENT

2019 ◽  
Vol 17 (Suppl.1) ◽  
pp. 25-30
Author(s):  
A. Miteva ◽  
H. Petrov
Keyword(s):  
Rural Development ◽  
Agricultural Development ◽  
Development Program ◽  
Rural Regions ◽  
Rural Development Program ◽  
Programming Period

The rural development program plays a key role in their sustainable and effective rural and agricultural development. The purpose of the report is to present the main changes, objectives, priorities, tasks of the rural development program in the second programming period – 2014-2020, and on this basis, to assess their role for the sustainable and multifunctional development of these areas.

scholarly journals Land, investments and public-private partnerships: what happened to the Beira Agricultural Growth Corridor in Mozambique?

2018 ◽  
Vol 56 (1) ◽  
pp. 87-112 ◽  
Author(s):  
Randi Kaarhus
Keyword(s):  
Direct Investment ◽  
Agricultural Development ◽  
Capital Requirements ◽  
Commercial Agriculture ◽  
Market Strategy ◽  
Agricultural Growth ◽  
Land Grabs ◽  
Resource Dynamics ◽  
Different Levels ◽  
Over Time

AbstractInfluential discourses present Foreign Direct Investment (FDI) as essential for agricultural development in Africa; a parallel, critical debate on ‘land rushes’ has denounced Land Grabs, demanding increased accountability in FDI-based land deals. This article explores an initiative located in central Mozambique, the Beira Agricultural Growth Corridor (BAGC). It shows how the international fertiliser company Yara set out to enrol actors at different levels in business, governance and agricultural development into BAGC as a public-private partnership to promote commercial agriculture. Very soon, however, Yara made shifts in its engagement and market strategy, leaving the BAGC initiative to supporting donors and local producers. The analysis presented here shows how the tension between ‘patient-capital’ requirements, high risks and low immediate returns have shaped this case over time – in a context of a national political economy framed by extractive-resource dynamics.

Agricultural Investment Risk Relationship to National Domestic Production

2013 ◽  
Vol 2 (2) ◽  
pp. 80-98 ◽  
Author(s):  
Alex Ehimare Omankhanlen
Keyword(s):  
Significant Relationship ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Least Square ◽  
Investment Risk ◽  
Positive Finding ◽  
Domestic Production ◽  
Agricultural Investment ◽  
Ordinary Least Square ◽  
National Production

This empirical case study investigated the uncertainty of agricultural investment schemes in Nigeria and their relationship to national domestic production. Government administrations have invested a substantial amount of money into the agricultural sector, yet thus far, there have been very few visible results to show for it. The private sector does not seem to be interested in developing agriculture even with government incentives. The purpose of this study is to identify investment risk factors for national agriculture development as perceived by business stakeholders. Ordinary Least Square (OLS) was then used to examine the strength of the cause-effect relationship for the agricultural investment factors in terms of expected domestic production. The findings were that there was no significant relationship between commercial bank credit granting to businesses for agricultural development and therefore no impact on national domestic production. On the other hand, the regression analysis did support the hypotheses that there was a significant relationship between government funding towards the agricultural sector and national domestic production as well as a significant relationship between the public agriculture credit guarantee scheme and national domestic production, respectively. Based on this positive finding, the study closes with several unique recommendations for policy makers in order to stimulate the investment into the agricultural sector to increase national production.

Analysis of Energy System in South Africa Using Exponential Smoothing Approach and Regression Technique

2016 ◽  
Vol 5 (3) ◽  
pp. 51-67
Author(s):  
Mohammad Mehdi Ghiasi ◽  
Alireza Aslani ◽  
Younes Noorollahi
Keyword(s):  
South Africa ◽  
Growth Rate ◽  
Energy Demand ◽  
Nuclear Energy ◽  
Fossil Fuels ◽  
Energy System ◽  
Primary Energy ◽  
Exponential Smoothing ◽  
Industrial Growth ◽  
Simple Exponential Smoothing

The energy demand has increased dramatically in the recent decades. Due to the limitations and environmental effects of fossil fuels, secure level of energy supply is vital for economic and social development. This work is to review the energy sector in South Africa. After that, the consumptions of coal, oil, natural gas, and nuclear energy are estimated by employing simple exponential smoothing methodology. Finding shows that the primary energy consumption in the South Africa is correlated as a function of population growth rate, industrial growth rate, and GDP.

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