scholarly journals Growth and Development of Dairy Industry in India

2020 ◽  
Vol 8 (5) ◽  
pp. 1566-1571
Keyword(s):  
Milk Production ◽  
Growth And Development ◽  
Positive Impact ◽  
Current Trend ◽  
Dairy Industry ◽  
Dairy Farm ◽  
Milk Products ◽  
Production Trend ◽  
Per Capita ◽  
The Relationship

Milk provides nutritious food and supplements the income of rural people of the country. The study investigates the growth and development of the dairy industry in India. It studies the status of milk production and consumption of the country. The study attempts to forecast the production of milk in the country at the current trend of production. It tries to find the relationship between milk production of the country with its global export and imports. The findings will be helpful for both the policymakers and the dairy farm industry in making a production decision. Descriptive statistics, forecasting, and correlation analysis were used during the study to bring out the relationship between production, consumption, and distribution of milk products. It was found that with the current production trend in the country, India will be able to produce about 217 million tonnes of milk by 2025. The per capita milk availability of the country stands at 351 gms in 2016-17, which exceeds the global milk per capita availability of 229 gms per day. Correlation analyses were used to determine if there is a relationship between import and export of milk products with that of the amount of milk produced. The findings indicated that the production of milk has a positive impact on the export of milk products (r = 0.220, p = 0.601), whereas it has a negative effect on the imports (r = 0.228, p = 0.588). The study found that there is ample room for promotion, production, and distribution of liquid milk and its products, which policymakers and dairy industry can use it in their favour.

Railroad Integration and Uneven Development on the European Periphery, 1870–1910

2021 ◽  
Vol 45 (2) ◽  
pp. 261-289
Author(s):  
Eduard J. Alvarez-Palau ◽  
Alfonso Díez-Minguela ◽  
Jordi Martí-Henneberg
Keyword(s):  
Economic Development ◽  
Positive Impact ◽  
Data Set ◽  
Per Capita Gdp ◽  
Catching Up ◽  
Nation States ◽  
Railroad Network ◽  
Per Capita ◽  
European Periphery ◽  
The Relationship

AbstractThis study explores the relationship between railroad integration and regional development on the European periphery between 1870 and 1910, based on a regional data set including 291 spatial units. Railroad integration is proxied by railroad density, while per capita GDP is used as an indicator of economic development. The period under study is of particular relevance as it has been associated with the second wave of railroad construction in Europe and also coincides with the industrialization of most of the continent. Overall, we found that railroads had a significant and positive impact on the growth of per capita GDP across Europe. The magnitude of this relationship appears to be relatively modest, but the results obtained are robust with respect to a number of different specifications. From a geographical perspective, we found that railroads had a significantly greater influence on regions located in countries on the northern periphery of Europe than in other outlying areas. They also helped the economies of these areas to begin the process of catching up with the continent’s industrialized core. In contrast, the regions on the southern periphery showed lower levels of economic growth, with this exacerbating the preexisting divergence in economic development. The expansion of the railroad network in them was unable to homogenize the diffusion of economic development and tended to further benefit the regions that were already industrialized. In most of the cases, the capital effect was magnified, and this contributed to the consolidation of newly created nation-states.

The National Institute for Research in Dairying, Shinfield, Reading

1951 ◽  
Vol 205 (1083) ◽  
pp. 453-467
Keyword(s):  
Milk Production ◽  
Total Population ◽  
Dairy Industry ◽  
Milk Products ◽  
The United Kingdom ◽  
A Value ◽  
Condensed Milk ◽  
Liquid Milk ◽  
Dairy Equipment ◽  
Turn Over

The dairy industry in the United Kingdom to-day is of a size which few, even of those working in the industry, fully realize. In this industry one must include milk production on the farm, the handling, processing and distribution of liquid milk, the manufacture of milk products such as butter, cheese, dried and condensed milk, the manufacture and distribution of feeding stuffs for dairy stock, the manufacture of dairy equipment and machinery and other minor ancillary industries. Including the dependents of those actually engaged in milk production or utilization, approximately 5 % of the total population of this country is supported by the dairy industry. In monetary values, the present annual turn-over, in liquid milk alone, considerably exceeds £200 million. Measured in volume of liquid milk consumed per head of the population—a value more easily translatable into the coinage of national health— no less than 31 gal. of liquid milk per head were consumed on the average by every individual in this country during 1949.

scholarly journals AN ANALYTICAL STUDY ON THE EXPORT PERFORMANCE OF DAIRY INDUSTRY IN INDIA

2016 ◽  
Vol 4 (1) ◽  
pp. 153-157
Author(s):  
Shiv Kumar ◽  
Kashif Ansari
Keyword(s):  
Trade Balance ◽  
Analytical Study ◽  
Export Performance ◽  
Dairy Industry ◽  
Dairy Farm ◽  
The United States ◽  
Export Share ◽  
Milk Products ◽  
The World ◽  
India And China

With the rise of factory farming, milk is now almost an unnatural operation. The modern dairy farm can have hundreds, even thousands of cows. Today’s average dairy cow produces six to seven times as much milk as she did a century ago. Currently, the United States is the largest producer of milk in the world, followed by India and China. India being one of the largest milk producer around the world, has to import a part of Milk products and its exports are negligible in the World Export Share. This paper tries to examine the issues regarding ‘Export Performance of Dairy Industry of India’: Trends, Challenges and suggestions for improving the trade situation. The existing Literature has been reviewed accordingly comprising Trade Exports, Imports and the factors which are affecting the Milk Production in country. The Objectives of the study is to find out the reasons for the low per unit production, Imports and negligible exports. In Nutshell, it can be said that there are many unexplored areas in which researchers can explore the findings which can be helpful in achieving trade balance of the Indian Economy.

scholarly journals The relationship between of international migration, income per capita and unemployment rate in Indonesia

2020 ◽  
Vol 8 (4) ◽  
pp. 387-396
Author(s):  
Siti Komariyah ◽  
R. Alamsyah Sutantio
Keyword(s):  
Labour Market ◽  
International Migration ◽  
Positive Impact ◽  
Economic Openness ◽  
Migration Flow ◽  
Income Per Capita ◽  
Employment Conditions ◽  
Supervision And Management ◽  
Per Capita ◽  
The Relationship

International migration has become an interesting issue in recent decades as globalization has become increasingly widespread as a form of openness in the world economy. This economic openness also results in changes in life socially, economically and culturally more dynamically. One of the dynamics of socio-economic conditions is shown by the increasingly flexible and dynamic international migration that occurs in several countries. Some underlying factors include conditions of income and unemployment. This study aims to analyse the response of migration when there is dynamics in per capita income as a proxy for welfare and unemployment as a proxy for employment conditions. VAR analysis is a method to see these responses through the IRF. The results of the analysis showed a significant response from migration as a result of the shock that occurred in both variables and with OLS estimation, both of these variables have a significant impact on influencing Indonesia's international migration flow. These is a signal that the main factor causing international migration is dominant due to the dynamics of income and labour market conditions (unemployment) in Indonesia. Although in other cases, migration also has a positive impact on some parties such as increasing income per capita for migrants, reducing unemployment and increasing the country's foreign exchange, but this condition also needs proper supervision and management. This must also be considered from various other aspects such as demographic conditions related to the age structure of the population and availability of employment to create a balance in the labour market

scholarly journals The relationship between military expenditure and certain growth and development related variables in transition economies: A panel data analysis

2017 ◽  
Vol 4 (5) ◽  
pp. 31 ◽  
Author(s):  
Sotirios K. Bellos
Keyword(s):  
Transition Economies ◽  
Growth And Development ◽  
Panel Data Analysis ◽  
Value Added ◽  
Positive Association ◽  
Military Expenditure ◽  
Gdp Per Capita ◽  
Causality Analysis ◽  
Per Capita ◽  
The Relationship

The paper examines the relation between military expenditure and three growth and development related variables (GDP growth, GDP per capita and Industry Value Added) in 31 transition economies during the 1989-2014 period. The empirical results reflect a positive association between military expenditure and the examined growth and development variables. The causality analysis shows though that the causality direction runs from the examined growth and development related variables towards military expenditure in all cases. This in turn reveals a common tendency in the studied economies, which is related to the tensions and developments in the wider studied area.

The Influence of Natural and Industrial Factors on the Efficiency of the Dairy Industry

2017 ◽  
Vol 21 (2) ◽  
pp. 91-100
Author(s):  
Vadim Kitikov ◽  
Wacław Romaniuk
Keyword(s):  
Comparative Analysis ◽  
Milk Production ◽  
Scientific Knowledge ◽  
Dairy Industry ◽  
Conceptual Approach ◽  
Machine Milking ◽  
Production Processes ◽  
Modern Development ◽  
Relationship Of ◽  
The Relationship

AbstractA comparative analysis of milk production in Poland and Belarus was carried out. The basic tendencies of modern development of the dairy industry and offered upcoming trends of innovative modernization of milk production processes were analyzed. On the basis of the analysis of trends in the global production of milk and new scientific knowledge on the biosynthesis of milk, a conceptual approach to the design of equipment for machine milking, is provided, considered the relationship of technical and physiological parameters.

Sources and Content of Iodine in California Milk and Dairy Products1

1983 ◽  
Vol 46 (1) ◽  
pp. 41-46 ◽  
Author(s):  
J. C. BRUHN ◽  
A. A. FRANKE ◽  
R. B. BUSHNELL ◽  
H. WEISHEIT ◽  
G. H. HUTTON ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Dairy Industry ◽  
Dairy Farm ◽  
Raw Milk ◽  
Iodine Concentration ◽  
Processing Plant ◽  
Major Contributor ◽  
Milk Products ◽  
Iodine Supplementation ◽  
Set Up

In recent years, milk and milk products have been implicated as a major contributor to dietary iodine. The possible sources of iodine in milk are supplemental iodine in dairy feeds, iodophor-containing sanitizers used at the dairy farm and/or the processing plant, iodophor-containing teat dips used to control the spread of mastitis among dairy cows, and iodine-containing medications used by veterinarians. A five-year program to determine the California raw milk iodine concentration and identify the sources of adventitious iodine has resulted in the California dairy industry deciding late in 1980 to reduce iodine supplementation of dairy feeds. This resulted in a decrease in milk iodine concentration in samples received in 1981 to 256 ± 234 μg/kg compared to 1980, when the concentration was 474 ± 304 μg/kg. The industry has set up a program to monitor the raw milk iodine concentration at the producer level, thus ensuring that the concentration will continue to decline.

scholarly journals Development of competitiveness and its determinants in Slovak dairy farms

2014 ◽  
Vol 60 (No. 2) ◽  
pp. 82-88
Author(s):  
M. Michaličková ◽  
Z. Krupová ◽  
P. Polák ◽  
L. Hetényi ◽  
E. Krupa
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Positive Impact ◽  
Dairy Farm ◽  
Effective Utilization ◽  
Unit Costs ◽  
Feed Costs ◽  
The Individual ◽  
Cattle Farms

The competitiveness and its determinants for Slovak dairy cattle farms during the years 2007 to 2011 was analysed. The economic database of the Research Institute for Animal Production Nitra was used as the basis. The profit in milk production with including the direct subsidies was assumed as the main parameter of the dairy farm competitiveness. The influence of the individual cost items and milk yield on the competitiveness was quantified using the multivariable linear regression model. Our results indicate that the farms were competitive in milk production only in 2007 and 2008. The highest profit (0.026 € per 1 kg of milk) was reached in 2007. It was mainly determined by the level of the milk price (+9%) and unit costs (–10%) in the evaluated period. The negative regression to the competitiveness was observed for the feed costs, labour costs, repairs and services, depreciations, other direct costs and overheads. On the other hand, the statistically positive impact of the milk yield was found. Generally, the effective utilization of the production potential of animals should be recommended as the main factor of the unit costs reduction as well as for the improvement of the dairy cattle farms profit.  

scholarly journals Consumer Preference towards Milk Products in Tamil Nadu

2021 ◽  
pp. 215-223
Author(s):  
N. Aswini ◽  
K. R. Ashok ◽  
S. Hemalatha ◽  
P. Balasubramaniyam
Keyword(s):  
Influencing Factors ◽  
Milk Production ◽  
Tamil Nadu ◽  
Dairy Industry ◽  
Consumer Preference ◽  
Major Product ◽  
Milk Products ◽  
Factors Influencing ◽  
Total Milk ◽  
Unorganized Sector

Dairy industry is one among the important sector in India. India is the largest milk producer, accounting for more than 18.50 per cent of the world’s total milk production. In India 80 per cent of milk is marketed through the highly fragmented unorganized sector, which includes local milk vendors, wholesalers, retailers, and producers themselves. On the other hand, the organized dairy industry, accounted for about 20 per cent of total milk production, comprised of two sectors: government and co-operatives. Even though co-operatives provide a remunerative price to the producer, the unorganized sector plays a major role in milk marketing. The present study identifies the major factors influencing the consumers to prefer milk products and also to analyse the awareness level of the consumers in Tamil Nadu. Totally 120 sample respondents were selected. Garrett’s rank analysis was done to analyze the factors influencing the consumers buying behaviour of milk and its products. The results showed that quality, price and taste were the most influencing factors to buy the milk products and the least influencing factors were flavour/colour and packaging of the products. Ghee was the major product preferred by the consumers .Quantity of milk showed significant relationship between age, monthly income and family size.

Spatial Analysis of the Relationship Between Income and Consumption of the Population Based on Panel Data

2021 ◽  
Vol 28 (2) ◽  
pp. 128-139
Author(s):  
I. A. Lakman ◽  
V. M. Timiryanova ◽  
D. V. Popov
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Fixed Effects ◽  
Negative Impact ◽  
Positive Impact ◽  
Per Capita Income ◽  
Spatial Error ◽  
Spatial Dependencies ◽  
Per Capita ◽  
The Relationship

The article presents results of a study on influence of population dynamics, regional characteristics and the type structure of income on consumption. The ability to investigate spatial dependencies and territorial effects over time was made possible by autoregression spatial models built on panel data. The article describes features of such models, sequence of calculations, and also presents modified tests to justify the choice of the model specification.Calculations were made using data from 83 constituent entities of the Russian Federation (cross-sectional observations) for 2010–2019 (10 time periods). The analysis showed that both population income and retail turnover, which largely determine the level and structure of population consumption, have spatial dependencies. The built spatial error model with fixed effects showed a positive influence on population consumption in the neighboring territories. The model also confirmed previously identified relationships: the positive impact of average per capita income and the negative impact of the Gini index on consumption. The built model with fixed effects allowed to isolate the individual effects of the territories, visualized using cartogram. On the basis of these assessments, several groups of territories with common properties and characteristics have been identified.Unlike previously built models, the authors’ spatial error autoregression model, built on panel data, took into account both the geographical heterogeneity and spatial dependence of average per capita income and retail turnover, expanding the existing understanding of the relationship between consumption and income. This, in turn, enables management decisions that take into account previously undetected features and enhance their validity.

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