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Sample Size Distribution for Information Collection and Assessment of the Level of Linkage of Seafood Processing Facilities


correspondingly, leading to the structure of employed labor compared to the labor force remaining almost unchanged compared to 2017 (Table 2.2).

Table 2.2. Labor force, working labor



2014

2015

2016

2017

2018

Labor force

(People)

609,705

611.127

615,462

618,722

619,341

Number of employees working

in year (person)

602.418

599,229

601.511

602,428

603,054

Growth index of labor force working in

year (%)


100.93


99.47


100.38


100.15


100.10

Ratio of employed to labor force

dynamic (%)


98.80


98.05


97.73


97.37


97.37

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Sample Size Distribution for Information Collection and Assessment of the Level of Linkage of Seafood Processing Facilities

(Source: Tra Vinh Provincial Statistics Office, 2018)

General assessment: the economic and social situation of the province has advantages and disadvantages for the development of the CNCBTS industry such as: the economy is developing quite well, which will be a favorable environment for the development of the industry, the local market is expanding, and the labor force is abundant. However, the economy has weak competitiveness, the ethnic minority population accounts for a high proportion, the infrastructure is underdeveloped, lacking synchronization and poor connectivity.

2.2. Research method

2.2.1. Approach

This study is approached in three ways: system approach, development economics and empirical approach. Firstly, system approach through examining the development of the seafood processing industry in Tra Vinh province in the general economic system of Tra Vinh province. Processing establishments in this local industry will be affected by the macro factors of the province, the region, competition and have links with the CNCBTS industry system in


region. Second, the economic development approach: Tra Vinh province's processing industry operates according to the mechanism of mobilizing and allocating resources according to the regulated market and aiming at the socio-economic development goals of Tra Vinh province. Based on the theoretical foundation of classical and neoclassical development theory to build a framework for analyzing the content of industry development. In addition, apply Potter's diamond model to build a model of factors affecting the development of the industry. Finally, the empirical approach will help answer questions such as: What is the current picture of the development of the seafood processing industry in Tra Vinh province in recent times? What factors affect the development of the industry? What are the implications of the policy for developing the seafood processing industry in Tra Vinh province?

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CONTENT

DEVELOPMENT OF SEAFOOD PROCESSING INDUSTRY

Factors affecting the development of CNCBTS

Raw material supply

Consumer market

Competition in the industry

Support Services and Associations

State policies

CONTENT

DEVELOPMENT OF SEAFOOD PROCESSING INDUSTRY

Growth in scale

Structural shift in processing

Links in processing

Improve efficiency

socio-economic and environmental protection

- Increase the number of facilities.

- Increase scale

base

- Increase production results.

- Weight of processed products and changes in weight of processed products.

- Weight of processed products according to production methods and change in weight of processed products according to production methods.

- The weight of products consumed in markets and the change in the weight of products consumed in markets.

- Number and proportion of processing facilities participating in the linkage

- Forms of association and levels of association.

- Capital productivity.

- Labor productivity.

- Employment.

- Income of seafood processing workers.

-Contribute to local export turnover.

- Waste, exhaust gas and noise treatment.

- The level of impact of waste, emissions, and noise on surrounding residents.

2.2.2. Analytical framework


POLICY IMPLICATIONS FOR DEVELOPING THE SEAFOOD PROCESSING INDUSTRY IN TRA VINH PROVINCE








Increase the scale of

seafood processing industry


Structural shift in processing


Expanding linkages in seafood processing


Improving socio-economic efficiency and environmental protection in seafood processing



Some other implications


Figure 2.2. Thesis analysis framework

(Source: Author's suggestion)


2.2.3. Research process

The research process of the thesis is a series of activities that take place in sequence and are closely linked to the knowledge base as well as logical thinking steps [151]. Different researchers propose different research designs to address their own research objectives [218]. However, most researchers have something in common in qualitative research with a process that goes from theoretical review to conducting practical comparison procedures within the research object and scope to discover and generalize general rules [171], [137]. To address the problem raised in the analytical framework on building a model for the development of the seafood processing industry (Figure 2.2), the author also follows that general rule to design the research process (Figure 2.3).

In the first step, the author systematizes the theoretical and practical basis related to industrial development, CNCBTS to form concepts and (1) identify development contents, build criteria to evaluate each development content of the industry, at the same time, (2) build a research model of factors affecting the development of this industry in Tra Vinh province and build a scale for each research variable.

In the second step, the author designs the questionnaire and conducts a survey, collects data. Collects secondary data, builds and completes the questionnaire - identifies the subjects to answer the questionnaire - conducts a preliminary survey, conducts an official survey to collect primary data.

In the third step, the author performs statistics, screening, synthesis, coding and data analysis. In the data analysis, there are steps of analyzing the reliability of the scale, exploratory factor analysis, and regression analysis to test the hypotheses in the research model of factors affecting the development of the industry.

Step four, write an analysis report, evaluate the current state of industry development based on the collected data, and explain the results of the analysis of factors affecting the industry.


Identify factors affecting the development of the CNCBTS industry


Constructing scales for research variables

Questionnaire design

Identify the contents and criteria for evaluating the development of the CNCBTS industry.

Finally, build groups of policy implications for industry development based on the results of analysis, assessment of the current situation, consumption trends of aquatic products and viewpoints, goals, and development orientations of the province's CNCBTS industry.

Systematize the theoretical and practical basis related to

CNCBTS development



Proposed development policy implications

CNCBTS

in Tra Vinh province

Multiple regression analysis

Design

Secondary data collection

Primary data collection

Descriptive statistics, comparison, average


Data Analysis

EFA Analysis


Write a report on the current status of CNCBTS industry development in Tra Vinh and explain the research results of influencing factors.

Questionnaire


Consult an expert


Complete the questionnaire


Figure 2.3. Research process

(Source: Inheritance and suggestion of the author)


2.2.4. Data collection method

The thesis uses data for analysis from 02 sources, which are secondary data and primary data. The collection method is described specifically:

Secondary data collection method: This data is collected through reports of competent agencies, articles published in domestic and foreign magazines, textbooks, monographs, theses related to the issue of developing the seafood processing industry and the Statistical Yearbook of Tra Vinh province.

Primary data collection method: Primary data is collected by survey method, using direct interview questionnaire to collect relevant information:

(1) For data serving the assessment of the current research situation, a structured interview with closed questions was used. In addition, the questionnaire also used a 5-point Likert scale to interview representatives of business leaders and owners of individual economic establishments in the CNCBTS sector about the level of connection between the establishments and the agents supplying input materials, and with the agents consuming the products of the processing establishments. The study conducted interviews with 46/69 establishments, accounting for 66.7% of the total. Of which, the author surveyed 100% of seafood processing enterprises and 64.06% of individual economic establishments. The sample size for information collection was distributed as shown in Table

2.3. Particularly for the survey of households living and doing business around or near processing facilities and enterprises to examine how residents evaluate the environmental treatment of the facilities, the study took representatives from 2-3 (households)/facility, corresponding to 104-156 votes.

(2) To measure the level of cooperation between actors, the study used the Likert scale with 05 levels identified on the questionnaire to calculate the average level of the total number of respondents. Specifically, the 5 levels include no cooperation (1), weak cooperation (2), average cooperation (3), fairly close cooperation (4) and close cooperation (5). With a distance of n = 0.8, the meaning of the average levels is divided into the following 5 groups of results: from 1.00 to 1.80 points is no cooperation, weak cooperation is temporary


The score for cooperation (when necessary) is from 1.81 to 2.6; average cooperation (short-term, regular) is from 2.61 to 3.40; the score from 3.41 to 4.20 is quite close cooperation (medium-term, regular) and the score from 4.21 to 5.00 is close cooperation (long-term).

Table 2.3. Sample size distribution for information collection and assessment of the level of linkage of seafood processing facilities


Location

Overall

Sample size to collect information about

basis, assessment of the level of connection

DN

CSKT

Total

DN

CSKT

Total

Proportion

(%)

Tra Vinh City

2


2

2


2

100

Cang Long District








Cau Ke District


1

1


1

1

100.00

Tieu Can District








Chau Thanh District








Cau Ngang District

1

21

22

1

13

14

63.64

Tra Cu District

1

21

22

1

12

13

59.09

Duyen Hai District

1

16

17

1

10

11

64.71

Duyen Hai Town


5

5


5

5

100.00

Total

5

64

69

5

41

46

66.67

(Source: Tra Vinh Provincial Statistics Office and author's calculations)

(3) For data serving the analysis of influencing factors, the author used a questionnaire designed with a 5-point Likert scale to interview representatives of business leaders, owners of individual economic establishments in the CNCBTS industry and those who have worked in the profession for many years. The author conducted interviews with 159 people from 46 establishments. Of which, for enterprises, the number of respondents fluctuated no more than 10% of the number of employees working at the unit. As for individual economic establishments, the number of people interviewed was no more than 2 people. The survey sample size was distributed as in Table 2.4.


Table 2.4. Distribution of sample size for survey to evaluate influencing factors



Location

Overall

Evaluation survey sample size

influencing factors

DN

CSKT

Total

Total

Labor

DN

CSKT

Total

Proportion

(%)

Tra Vinh City

2


2

945

45


45

4.76

Cang Long District









Cau Ke District


1

1

4


1

1

25.00

Cau Ngang District

1

21

22

73

3

22

25

34.25

Tra Cu District

1

21

22

120

5

27

32

26.67

Duyen Hai District

1

16

17

248

22

28

50

20.16

Duyen Hai Town


5

5

18


6

6

33.33

Total

5

64

69

1,408

75

84

159

11.29

(Source: Tra Vinh Provincial Statistics Office and author's calculations)

Although the sample distribution is as shown in Table 2.3 and Table 2.4, as a precaution, the author prepared to survey 100% of the individual economic establishments, but in reality, only 64.06% of the establishments were surveyed. The results were 46/69 information collection forms and 159/178 survey forms assessing factors affecting the development of the industry because during the direct investigation, it was known that individual economic establishments had business registration and addresses but in reality were no longer operating or had temporarily suspended business. This is also a limitation of the analysis sample of the topic.

2.2.5. Data analysis and processing methods

The thesis used descriptive statistics and synthesis analysis using Excel spreadsheet tools to calculate related indicators, SPSS.20 software supported data processing and calculated the average score of some criteria to evaluate the development of the industry, supported scale testing, analyzed and discovered groups of factors affecting the development of the industry and regression analysis.

Descriptive statistics method: used to describe all things and phenomena based on collected and calculated data. Collect and arrange collected data according to time series, calculate basic statistical indicators such as growth rate

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