A STUDY ON PROBLEMS FACED BY FOOD AND ...icmrr.org/global/pdffiles/IJMRR/m201603016.pdfA STUDY ON PROBLEMS FACED BY FOOD AND BEVERAGE EXPORTERS WITH SPECIAL REFERENCE TO COIMBATORE

A STUDY ON PROBLEMS FACED BY FOOD AND BEVERAGE

EXPORTERS WITH SPECIAL REFERENCE TO COIMBATORE

DISTRICT

A.ASHARAF ALI1 N.BHUVANESH KUMAR

2

1 Student of PG Department of International Business, NGM College Pollachi

2 Assistant Professor of PG Department of International Business, NGM College Pollachi

ABSTRACT

The Food and Beverage industry has experienced major changes in the last few years in their

overall processing environment. The changing demand in today‘s consumer market means industry

processors can no longer plan on the basis of long product lifecycles and that innovation has become

critical for survival. The research mainly discuss to identify the problems faced by the food and

beverage exporters.Sample of 50 people weretaken into study, and their data were collected. Samples

for the purpose of the study are selectedsystematically. The study makes use of statistical techniques

such as Percentage analysis and Chi- squaretest in analyzing the data for findingthe result.This study

concludes thatthe growth of Food and Beverage companies has been sub-optimal because of high

cost, low level of productivity, high wastage and lack of competitiveness of Indian Food and

Beverage products in the global market. Therefore, to fully leverage the growth potential of the sector,

current challenges that are being faced by the industry need to be properly addressed and steps need to

be taken to remove the bottlenecks hampering the sectoral growth.

Keywords:Food and Beverage, Problems

INTRODUCTION

Food is any substance consumed to provide nutritional support for thebody. It is usually of

plant or animal origin, and contains essential nutrients,such as carbohydrates, fats, proteins, vitamins,

or minerals. The substance isingested by an organism and assimilated by the organism's cells in an

effort toproduce energy, maintain life, or stimulate growth.

A drink, or beverage, is a kind of liquid which is specifically preparedfor human

consumption. There are many groups for drinks. It can be dividedinto various groups such as plain

water, alcohol, non alcoholic drinks, softdrinks (carbonated drinks), fruit or vegetable juices and hot

drinks. In additionto fulfilling a basic need, drinks form part of the culture of human society.

Some of the current issues the Food and Beverage industry is now facing includes increased

demand for variety and innovation, governmental regulation on quality, product traceability, low

profit margins and the need for shelf life management. Another critical issue facing the Food and

Beverage industry is that inconsistent quality of raw materials requires dynamic recipes and variable

processes. Food manufacturers must demonstrate traceability in the end-to-end supply chain, not only

for food safety and legislative compliance, but also to meet increasing expectations with corporate and

social responsibility.

In today‘s market, the major grocery retailers face increasingly price-led competition that is

forcing them to reduce costs and eliminate complexity from their business. The demand for lower

costs is encouraging global sourcing of a wide variety of foods, which adds risk to the supply

INTERCONTINENTAL JOURNAL OF MARKETING RESEARCH REVIEWISSN:2321-0346 - ONLINE ISSN:2347-1670 - PRINT -IMPACT FACTOR :1.590VOLUME 4, ISSUE 3, MARCH 2016

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chain.The ability to handle the complexities of the Food and Beverage industry where the challenges

of quality, perishability, and the demand for faster inventory turnover, deliveries and safety issues

mean that time-to-market is all-important.

STATEMENT OF THE PROBLEM

In the competitive world, there are many problems in Exporting. Some problems can be

solved but so many problems may not be solved. Food and beverage exporters are playing an

important role in fulfilling the needs of Domestic as well as International consumers. At present the

Food and beverage exporters are more dynamic. The taste, needs and preference of consumers are

changing now and then. The consumers now look for product differentiation and convenience offered.

Companies concentration on marketing advertisement makes the Food and beverage exporters to get

awareness about the latest brands in the market. Food and beverage exporters face various problems

to select their branded instant food products. To offer their customers, they also face various

Problems during the stage of producing, transportation and Documents clearance. It is identified that

there is a need for research work in the field of problems faced by Food and beverage exporters in

Coimbatore district. Hence, the researcher has choose this topic ―Problem Faced by the Food and

beverage Exporters in Coimbatore District”.

OBJECTIVES OF THE STUDY

The specific objectives of the study are:

To identify the problems faced by the Food and beverage exporters.

To study the factors hindering of the Food and beverage exporters.

SCOPE OF THE STUDY

The scope of this study is confined to Food and beverage exporters problems. The study is

also extended to identify the various factors influencing the Food and beverage exporters to promote

their exports and the various incentives given by the Government to promote the Food and beverage

export. This study also provides the valuable suggestions to the problems faced by the Food and

beverage products Exporters during the time of Production, Transportation, Storage and export

documents clearance.

RESEARCH METHODOLOGY

Research is the process of systemic and in the depth study or search for any particular topic

subject or area of investigation backed by the collection and presentation, interpretation of relevant of

data.

SAMPLING DESIGN

To study the Project a Random Sampling Method is adopted. The study depends on primary

data. A pilot study is conducted to validate the questionnaire and to confirm the feasibility of the

study. Based on the pilot study, the questionnaire is modified suitably to elicit response from the

sample group.

SAMPLE SIZE

A total of 50 products exporters in Coimbatore district have been taken as the sample.

Samples for the purpose of the study are selected systematically.



METHOD OF DATA COLLECTION

The data for this study are of two types: -

Primary data

Secondary data

PRIMARY DATA

Primary data is the data is collected from the respondent for the first time, it is original in

nature. For the purpose of collection of primary data, a well structured questionnaire was framed and

filled by the respondents. The questionnaire comprises of close ended as well as open ended

questions. In close ended questions, checklist questions and multiple choice questions are used.

SECONDARY DATA

Secondary data are collected from books, magazines, web sites etc, and both open ended &

close-ended questions are incorporated in the questionnaire for the collection of data.

STATISTICAL TOOLS

The following statistical tools are used in the study

Percentage Analysis

Chi – square test

PERIOD OF THE STUDY

The period of the study is 3 months (from December 2015 to February 2016).

LIMITATIONS OF THE STUDY

Though it is an in depth analysis, it is not free from the limitations. The following are the

limitations of this study:

The primary data was collected from 50 respondents only. As the researchers have collected

the data from the food and beverage exporters they are not ready to provide more information

required by the researcher. Hence the researcher has completed the work with available

primary data.

This study is based on the prevailing food and beverage exporters. But the food and beverage

exporters‘ satisfaction may change according to time, fashion, technology and development.

REVIEW OF LITERATURE

Bishnu Bhattacharyya (2013) , In this paper, an empirical study in the Kamrup district of Assam is

tried to analyze the prospects and problems of food processing (fruits and vegetables) industry, with

certain specific objectives like the study of influencing factors on the growth of fruits and vegetables

processing sector and identification of problems with remedial measures. The study is based on

empirical data, both secondary data analysis and case study methodologies are utilized. It revealed

that availability of raw materials, infrastructure, government schemes and polices are the prime

influencing factors for the establishment of sector and lack of finance, shortage of power, inadequate

post harvest technology and facility, poor infrastructure facilities constitute very serious problem.

Saraswati (2014) , Food processing sector covers activities such as agriculture, horticulture,

plantation, animal husbandry and fisheries. It also includes other industries that use, agriculture inputs

for manufacturing of edible products. The food-processing sector employs about 13 million persons

directly and about 35 million persons indirectly. India‘s agricultural production base is quite strong,

but at the same time wastage of agricultural produce is massive. Processing is very low at around

2.20% in fruits and vegetables, 35% in milk, 21% in meat and 6% in poultry. Value addition is only to



the tune of 20% Food processing sector contributed about 14% of the manufacturing Gross Domestic

Product. Based on Ministry of Food Processing Industry classification includes Dairy, fruits &

vegetable processing, Grain processing, Meat & poultry processing, Fisheries and Consumer foods

including packaged foods, beverages and packaged drinking water.

Esther Karuri and Margaret Oloko (2014) , This paper identifies the influence that customer

product specifications have on export performance of food processing organizations in Kenya.

Employees of Production and Logistics department at Del Monte Kenya Limited formed the

population of the study. Primary data was collected by administration of questionnaires to the target

population. Descriptive statistics was used in analyzing the data, where summaries were made and

conclusions derived based on the findings. The researcher therefore concluded that food processing

organizations seeking to export their products should identify and serve markets in which customers

present the least product specifications, since these specifications affect the volume of export sales

made, number of markets served, and management of the organization have a negative attitude

towards these specifications.

ANALYSIS AND INTERPRETATIONS

PERCENTAGE ANALYSIS

TABLE - 1

DEMOGRAPHIC PROFILE

S.No Determinants No of Respondents (N=50) Percentage (%)

1

Age

Below 25 years

25-40 years

40-45 years

Above 45 years

1

28

17

4

2%

56%

34%

8%

2

Gender

Male

Female

43

7

86%

14%

3

Placeofresidence

Rural

Urban

Semi-urban

23

14

13

46%

28%

26%

4

EducationalQualification

School level

Graduate or Diploma

level

PG level

Professionals

14

21

9

6

28%

42%

18%

12%



5

Typeofthefamily

Nuclear

Joint

23

27

46%

54%

6

Natureofjob

Self Employed

Employed

Entrepreneur

15

14

21

30%

28%

42%

7

Monthlyincome

Less than Rs.10,000

Rs.10,001 - Rs.15,000

Rs.15,001 - Rs.20,000

Above Rs.20,000

14

16

11

9

28%

32%

22%

18%

8

Sizeofthefamily

Less than 3 members

3-4 members

5-6 members

More than 7 members

16

15

13

6

32%

30%

26%

12%

9

Earningmembersinthefamily

Upto 1 members

2 to 3 members

4 to 5 members

Above 6 members

18

14

15

3

36%

28%

30%

6%

Total 50 100%

INTERPRETATION

From the above table shows that out of 50 respondents, majority of the respondents fall in the

age group between 25-40 years.Majority of the respondents are male. The majority 23 (46%) of the

respondents are residing in rural area.The majority 21 (42%) of the respondents are Graduate

holders.The majority 27 (54%) of the respondents are belong to joint family. Majority 21 (42%) of the

respondents are Entrepreneurs.The majority 16 (32%) of the respondents monthly income is between

Rs.10, 001 to Rs.15, 000.The majority 16 (32%) of the respondents said that up to 3 members in their

family and then the majority 18 (36%) of the respondents said that up to 1 members are earned in their

family.



CHI – SQUARE

TABLE – 2 - ASSOCIATION BETWEEN AGE OF THE RESPONDENTS AND THEIR

FACTORS THAT LEADS TO SURVIVE IN THE INTERNATIONAL BUSINESS

H0 = There is no significant association between Age of the respondents and factors that leads to

survive in the International Business.

Age

Factors that leads to survive in the International

Business Total

High Moderate Low

Below 25 years 0 1 0 1

25-40 years 15 13 0 28

40-45 years 5 11 1 17

Above 45 years 2 1 1 4

Total 22 26 2 50

Calculated χ2 Value:9.297 Degree of freedom: 6 Table Value: Five per cent level:12.592

Since the calculated χ2value (9.297) is less than the table value (12.592).Therefore it is

concluded that there is no significant association between age of the respondents and factors that leads

to survive in the international business. Hence, Null hypothesis is accepted.

TABLE – 3 - ASSOCIATION BETWEEN GENDEROF THE RESPONDENTS ANDTHE

FACTORS THAT LEADS TO SURVIVE IN THE INTERNATIONAL BUSINESS

H0 = There is no significant association between gender of the respondents and factors that leads to

survive in the International Business.

Gender


Business Total

High Moderate Low

Male 20 21 2 43

Female 2 5 0 7

Total 22 26 2 50



concluded that there is no significant association between gender of the respondents and factors that

leads to survive in the international business. Hence, Null hypothesis is accepted.

TABLE – 4 - ASSOCIATION BETWEEN PLACEOFRESIDENCEOF THE RESPONDENTS

ANDTHEIR FACTORS THAT LEADS TO SURVIVE IN THE INTERNATIONAL

BUSINESS

H0 = There is no significant association between place of residence of the respondents and factors

that leads to survive in the International Business.



Placeofresidence


Business Total

High Moderate Low

Rural 14 8 1 23

Urban 4 10 0 14

Semi-urban 4 8 1 13

Total 22 26 2 50

Calculated χ2 Value:6.327Degree of freedom: 4 Table Value: Five per cent level:9.488


concluded that there is no significant association between place of residence of the respondents and

factors that leads to survive in the international business. Hence, Null hypothesis is accepted.

TABLE – 5 - ASSOCIATION BETWEEN EDUCATIONALQUALIFICATIONOF THE

RESPONDENTS ANDTHEIR FACTORS THAT LEADS TO SURVIVE IN THE

INTERNATIONAL BUSINESS

H0 = There is no significant association between Educational qualification of the respondents and

factors that leads to survive in the International Business.

EducationalQualification

Factors that leads to survive in the

International Business Total

High Moderate Low

School level 9 4 1 14

Graduate or Diploma level 11 10 0 21

PG level 1 8 0 9

Professionals 1 4 1 6

Total 22 26 2 50


Since the calculated χ2value (12.987) is greater than the table value (12.592).Therefore it is

concluded that there is a significant association between educational qualification of the respondents

and factors that leads to survive in the international business. Hence, Null hypothesis is rejected.

TABLE – 6 - ASSOCIATION BETWEEN TYPEOFTHEFAMILYOF THE RESPONDENTS


BUSINESS

H0 = There is no significant association between type of the family of the respondents and factors that

leads to survive in the International Business.

Typeofthefamily



High Moderate Low

Nuclear 11 11 1 23

Joint 11 15 1 27

Total 22 26 2 50





concluded that there is no significant association between type of family of the respondents and


TABLE – 7 - ASSOCIATION BETWEEN NATUREOFJOBOF THE RESPONDENTS


BUSINESS

H0 = There is no significant association between nature of job of the respondents and factors that


Natureofjob


Business Total

High Moderate Low

Self Employed 8 7 0 15

Employed 5 9 0 14

Entrepreneur 9 10 2 21

Total 22 26 2 50



concluded that there is no significant association between nature of job of the respondents and factors

that leads to survive in the international business. Hence, Null hypothesis is accepted.

TABLE – 8 - ASSOCIATION BETWEEN MONTHLYINCOMEOF THE RESPONDENTS

AND THEIR FACTORS THAT LEADS TO SURVIVE IN THE INTERNATIONAL

BUSINESS

H0 = There is no significant association between monthly income of the respondents and factors that


Monthlyincome



High Moderate Low

Less than Rs.10,000 9 5 0 14

Rs.10,001 - Rs.15,000 5 11 0 16

Rs.15,001 - Rs.20,000 4 6 1 11

Above Rs.20,000 4 4 1 9

Total 22 26 2 50



concluded that there is no significant association between monthly income of the respondents and




TABLE – 9 - ASSOCIATION BETWEEN SIZE OF THE FAMILY OF THE RESPONDENTS

AND THEIR FACTORS THAT LEADS TO SURVIVE IN THE INTERNATIONAL

BUSINESS

H0 = There is no significant association between size of the family of the respondents and factors that


Sizeofthefamily



High Moderate Low

Less than 3 members 9 7 0 16

3-4 members 5 10 0 15

5-6 members 6 6 1 13

More than 7 members 2 3 1 6

Total 22 26 2 50



concluded that there is no significant association between size of the family of the respondents and


TABLE – 10 - ASSOCIATION BETWEEN EARNING MEMBERS IN THE FAMILY OF THE

RESPONDENTS AND THEIR FACTORS THAT LEADS TO SURVIVE IN THE

INTERNATIONAL BUSINESS

H0 = There is no significant association between earning members in the family of the respondents

and factors that leads to survive in the International Business.

Earning members in the

family


Business Total

High Moderate Low

Upto 1 members 9 8 1 18

2 to 3 members 5 9 0 14

4 to 5 members 7 7 1 15

Above 6 members 1 2 0 3

Total 22 26 2 50



concluded that there is no significant association between earning members in the family of the

respondents and factors that leads to survive in the international business. Hence, Null hypothesis is

accepted.



TABLE – 11 - ASSOCIATION BETWEEN AGE OF THE RESPONDENTS AND THEIR

PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD AND BEVERAGE

H0 = There is no significant association between Age of the respondents and productivity and

competitiveness of the food and beverage.

Age

Productivity and Competitiveness of the food and

beverage Total

High Moderate Low


25-40 years 12 12 4 28

40-45 years 7 8 2 17


Total 20 22 8 50



concluded that there is no significant association between age of the respondents and productivity and

competitiveness of the food and beverage. Hence, Null hypothesis is accepted.

TABLE – 12 - ASSOCIATION BETWEEN GENDEROF THE RESPONDENTS AND THEIR


H0 = There is no significant association between gender of the respondents and productivity and


Gender


beverage Total

High Moderate Low

Male 19 18 6 43

Female 1 4 2 7

Total 20 22 8 50



concluded that there is no significant association between gender of the respondents and productivity

and competitiveness of the food and beverage. Hence, Null hypothesis is accepted.

TABLE – 13 - ASSOCIATION BETWEEN PLACE OF RESIDENCE OF THE

RESPONDENTS AND THEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD

AND BEVERAGE

H0 = There is no significant association between place of residence of the respondents and

productivity and competitiveness of the food and beverage.

Place of residence


beverage Total

High Moderate Low

Rural 12 8 3 23

Urban 4 7 3 14

Semi-urban 4 7 2 13

Total 20 22 8 50






productivity and competitiveness of the food and beverage. Hence, Null hypothesis is accepted.


RESPONDENTS ANDTHEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD

AND BEVERAGE

H0 = There is no significant association between educational qualification of the respondents and

productivity and competitiveness of the food and beverage.

Educational Qualification


beverage Total

High Moderate Low



PG level 2 6 1 9


Total 20 22 8 50



concluded that there is no significant association between educational qualification of the respondents

and productivity and competitiveness of the food and beverage. Hence, Null hypothesis is accepted.

TABLE – 15 - ASSOCIATION BETWEEN TYPE OF THE FAMILY OF THE

RESPONDENTS ANDTHEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD

AND BEVERAGE

H0 = There is no significant association between type of the family of the respondents and productivity

and competitiveness of the food and beverage.

Type of the family


beverage Total

High Moderate Low

Nuclear 8 11 4 23

Joint 12 11 4 27

Total 20 22 8 50



concluded that there is no significant association between type of the family of the respondents and




TABLE – 16 - ASSOCIATION BETWEEN NATURE OF JOBOF THE RESPONDENTS

ANDTHEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD AND

BEVERAGE

H0 = There is no significant association between nature of job of the respondents and productivity and


Nature of job


beverage Total

High Moderate Low


Employed 4 8 2 14


Total 20 22 8 50

Calculated χ2 Value:1.652Degree of freedom: 4Table Value: Five per cent level:9.488


concluded that there is no significant association between nature of job of the respondents and


TABLE – 17 - ASSOCIATION BETWEEN MONTHLY INCOME OF THE RESPONDENTS

AND THEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD AND

BEVERAGE

H0 = There is no significant association between monthly income of the respondents and productivity


Monthly income

Productivity and Competitiveness of the food

and beverage Total

High Moderate Low

Less than Rs.10,000 6 5 3 14

Rs.10,001 - Rs.15,000 6 8 2 16

Rs.15,001 - Rs.20,000 2 8 1 11

Above Rs.20,000 6 1 2 9

Total 20 22 8 50







TABLE – 18 - ASSOCIATION BETWEEN SIZE OF THE FAMILY AND THEIR


H0 = There is no significant association between size of the family of the respondents and productivity


Size of the family


and beverage Total

High Moderate Low


3-4 members 6 8 1 15

5-6 members 8 4 1 13


Total 20 22 8 50





TABLE – 19- ASSOCIATION BETWEEN EARNING MEMBERS IN THE FAMILY AND

THEIR PRODUCTIVITY AND COMPETITIVENESS OF THE FOOD AND BEVERAGE


and productivity and competitiveness of the food and beverage.

Earning members in the

family


and beverage Total

High Moderate Low


2 to 3 members 8 4 2 14

4 to 5 members 5 9 1 15


Total 20 22 8 50


Since the calculated χ2value (19.839) is greater than the table value (12.592).Therefore it is

concluded that there is a significant association between earning members in the family of the

respondents and productivity and competitiveness of the food and beverage. Hence, Null hypothesis is

rejected.



TABLE – 20 - ASSOCIATION BETWEEN AGE OF THE RESPONDENTS ANDTHEIR

FACTORS HINDERING EXPORT OF FOOD AND BEVERAGE EXPORTERS

H0 = There is no significant association between Age of the respondents and factors hindering export

of food and beverage exporters.

Age

Factors Hindering Export of food and beverage

exporters Total

High Moderate Low


25-40 years 13 9 6 28

40-45 years 6 7 4 17


Total 21 18 11 50



concluded that there is no significant association between age of the respondents and factors hindering

export of food and beverage exporters. Hence, Null hypothesis is accepted.

TABLE – 21 - ASSOCIATION BETWEEN GENDER OF THE RESPONDENTS AND THEIR

FACTORS HINDERING EXPORT OF FOOD AND BEVERAGE EXPORTERS

H0 = There is no significant association between gender of the respondents and factors hindering

export of food and beverage exporters.

Gender


exporters Total

High Moderate Low

Male 19 16 8 43

Female 2 2 3 7

Total 21 18 11 50



concluded that there is no significant association between gender of the respondents and factors

hindering export of food and beverage exporters. Hence, Null hypothesis is accepted.

TABLE – 22 -ASSOCIATION BETWEEN PLACE OF RESIDENCE OF THE

RESPONDENTS AND THEIR FACTORS HINDERING EXPORT OF FOOD AND

BEVERAGE EXPORTERS

H0 = There is no significant association between Place of residence of the respondents and factors

hindering export of food and beverage exporters.

Place of residence


exporters Total

High Moderate Low

Rural 11 7 5 23

Urban 6 5 3 14

Semi-urban 4 6 3 13

Total 21 18 11 50






factors hindering export of food and beverage exporters. Hence, Null hypothesis is accepted.


RESPONDENTS ANDTHEIR FACTORS HINDERING EXPORT OF FOOD AND

BEVERAGE EXPORTERS

H0 = There is no significant association between educational qualification of the respondents and

factors hindering export of food and beverage exporters.

Educational Qualification

Factors Hindering Export of food and

beverage exporters Total

High Moderate Low



PG level 4 2 3 9


Total 21 18 11 50

Calculated χ2 Value:8.601Degree of freedom: 6Table Value: Five per cent level:12.592


concluded that there is no significant association between educational qualification of the respondents

and factors hindering export of food and beverage exporters. Hence, Null hypothesis is accepted.

TABLE – 24 - ASSOCIATION BETWEEN TYPE OF THE FAMILY OF THE


BEVERAGE EXPORTERS

H0 = There is no significant association between type of family of the respondents and factors


Type of the family

Factors Hindering Export of food and

beverage exporters Total

High Moderate Low

Nuclear 9 9 5 23

Joint 12 9 6 27

Total 21 18 11 50



concluded that there is no significant association between type of the family of the respondents and




TABLE – 25 - ASSOCIATION BETWEEN NATURE OF JOB OF THE RESPONDENTS AND

THEIR FACTORS HINDERING EXPORT OF FOOD AND BEVERAGE EXPORTERS

H0 = There is no significant association between nature of job of the respondents and factors


Nature of job Factors Hindering Export of food and beverage exporters

Total High Moderate Low


Employed 5 5 4 14


Total 21 18 11 50



concluded that there is no significant association between nature of job and factors hindering export of

food and beverage exporters. Hence, Null hypothesis is accepted.

TABLE – 26 - ASSOCIATION BETWEEN MONTHLY INCOME OF THE RESPONDENTS

AND THEIR FACTORS HINDERING EXPORT OF FOOD AND BEVERAGE EXPORTERS

H0 = There is no significant association between monthly income of the respondents and factors


Monthly income


exporters Total

High Moderate Low

Less than Rs.10,000 6 5 3 14

Rs.10,001 - Rs.15,000 6 7 3 16

Rs.15,001 - Rs.20,000 5 4 2 11

Above Rs.20,000 4 2 3 9

Total 21 18 11 50





TABLE – 27 - ASSOCIATION BETWEEN SIZE OF THE FAMILY OF THE RESPONDENTS

AND THEIR FACTORS HINDERING EXPORT OF FOOD AND BEVERAGE EXPORTERS

H0 = There is no significant association between size of the family of the respondents and factors


Size of the family Factors Hindering Export of food and beverage exporters

Total High Moderate Low


3-4 members 8 4 3 15

5-6 members 4 4 5 13


Total 21 18 11 50







TABLE – 28 - ASSOCIATION BETWEEN EARNING MEMBERS IN THE FAMILY OF THE


BEVERAGE EXPORTERS


and factors hindering export of food and beverage exporters.

Earning member in the

family


exporters Total

High Moderate Low


2 to 3 members 8 4 2 14

4 to 5 members 9 3 3 15


Total 21 18 11 50



concluded that there is no significant association between earning members in the family of the

respondents and factors hindering export of food and beverage exporters. Hence, Null hypothesis is

accepted.

FINDINGS

PERCENTAGE ANALYSIS

Thus majority of the respondents fall in the age group between 25-40 years.

Majority of the respondents are male

The majority 23 (46%) of the respondents are residing in rural area.

The majority 21 (42%) of the respondents are Graduate holders.

The majority 27 (54%) of the respondents are belong to joint family.

Majority 21 (42%) of the respondents are Entrepreneurs.

The majority 16 (32%) of the respondents monthly income is between Rs.10,001 to

Rs.15, 000.

The majority 16 (32%) of the respondents said that up to 3 members in their family.

The majority 18 (36%) of the respondents said that up to 1 members are earned in their

family.

CHI-SQUARE TEST

There is no significant association between age of the respondents and factors that leads to

survive in the international business. Hence, Null hypothesis is accepted.

There is no significant association between gender of the respondents and factors that leads to

survive in the international business. Hence, Null hypothesis is accepted.

There is no significant association between place of residence of the respondents and factors


There is a significant association between educational qualification of the respondents and

factors that leads to survive in the international business. Hence, Null hypothesis is rejected.



There is no significant association between type of family of the respondents and factors that

leads to survive in the international business. Hence, Null hypothesis is accepted.

There is no significant association between nature of job of the respondents and factors that

leads to survive in the international business. Hence, Null hypothesis is accepted

There is no significant association between monthly income of the respondents and factors


There is no significant association between size of the family of the respondents and factors


There is no significant association between earning members in the family of the respondents

and factors that leads to survive in the international business. Hence, Null hypothesis is

accepted.

There is no significant association between age of the respondents and productivity and

competitiveness of the food and beverage. Hence, Null hypothesis is accepted.

There is no significant association between gender of the respondents and productivity and

competitiveness of the food and beverage. Hence, Null hypothesis is accepted

There is no significant association between place of residence of the respondents and

productivity and competitiveness of the food and beverage. Hence, Null hypothesis is

accepted.

There is no significant association between educational qualification of the respondents and


accepted.

There is no significant association between type of the family of the respondents and


accepted.

There is no significant association between nature of job of the respondents and productivity

and competitiveness of the food and beverage. Hence, Null hypothesis is accepted.

There is no significant association between monthly income of the respondents and


accepted.

There is no significant association between size of the family of the respondents and


accepted.

There is a significant association between earning members in the family of the respondents

and productivity and competitiveness of the food and beverage. Hence, Null hypothesis is

rejected.

There is no significant association between age of the respondents and factors hindering


There is no significant association between gender of the respondents and factors hindering


There is no significant association between place of residence of the respondents and factors


There is no significant association between educational qualification of the respondents and


There is no significant association between type of the family of the respondents and factors


There is no significant association between nature of job and factors hindering export of food

and beverage exporters. Hence, Null hypothesis is accepted.



There is no significant association between monthly income of the respondents and factors


There is no significant association between size of the family of the respondents and factors


There is no significant association between earning members in the family of the respondents

and factors hindering export of food and beverage exporters. Hence, Null hypothesis is

accepted.

SUGGESTIONS

With large amount of local raw materials, infrastructural facilities, establishment of training

institutions etc helps the entrepreneur to establish the food and beverage industry in the state.

The sector has emerged as a major employer in the economy of the district as well as in the

state. In addition to these the study reveals that the sector in the district faces some serious

problems like capital, procurement of raw material, power supply etc.

The Government officials and the others who are involved in the sector must perform

awareness raising activities for the development of food and beverage sector.

However, before setting up any food and beverage unit in the region, the entrepreneur is to

make a thorough survey about the availability of local fruits and vegetables, the power

position, soft water, availability of labors, packaging materials etc.

Food and beverage industry should be brought under an independent ministry of food and

beverage at state level to coordinate with food processing ministry at the centre to avail the

benefits of various central schemes.

The general public should be given large scale publicity about the use of processed product.

There are various opportunities and schemes forwarded by government and other levels, our

entrepreneurs should utilize these opportunities for the development of their own as well as

the state economy as a whole.

CONCLUSION

The Indian food industry presents a very large opportunity to every stakeholder. This is

primarily driven by a robust consumer demand, the changing nature of the Indian consumer, who is

more informed and willing to try new products; and the strong production base of the country.

Needless to add, the several gaps in the current production and delivery systems actually present a

huge opportunity for the growth of companies willing to bet long term in this sector.

However, the growth of food and beverage companies has been sub-optimal because of high

cost, low level of productivity, high wastage and lack of competitiveness of Indian food products in

the global market. Therefore, to fully leverage the growth potential of the sector, current challenges

that are being faced by the industry need to be properly addressed and steps need to be taken to

remove the bottlenecks hampering the sectoral growth.

REFERENCE

Saraswati (2014), ―Export Potential of Food Processing Industry In India‖. International

Journal of Computing and Corporate Research, Volume 4 Issue 2, Pp.1-14.

Bishnu Bhattacharyya (2013), ―Problems and Prospects of Fruits and Vegetables Processing

Industry‖, Asian Resonance,Vol.-II, Issue-IV, Pp-38-44.



Esther Karuri and Margaret Oloko (2014), ―Customer Product Specifications and Export

Performance of Food Processing Organizations In Kenya‖. International Journal of

Management and Commerce Innovations, Vol. 2, Issue 1, pp: (1-6).

