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The Relationship Between Survey Forms and Summary Tables


Explain the data source and how to calculate the indicators of table 03-THC.

Column A (Province, city code) and column B: Name of province, city and two regions recorded in the order of the previous summary report (Table 02-THC)

Columns 1, 2 and 3: Total number of tourists in general and each type of tourism, taken from data in columns 5, 6 and 7 of table 02-THC of step 2.

Columns 4,5 and 6: average travel days per trip for all and each form of travel:

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- For each urban and rural area of ​​each province and city, take data from columns 7, 8 and 9 of table 03 - THM (step 1)

- For the general synthesis range between the two urban and rural areas in each province as well as the whole country, the reverse calculation will be done (take the tourist days in columns 7, 8 and 9 of table 03-THC after synthesis and divide by the number of tourists in columns 1, 2 and 3 of the same table.

The Relationship Between Survey Forms and Summary Tables

Columns 7, 8 and 9 total tourist days by type of travel:

- For each urban and rural area of ​​each province and city, the number of tourist days is calculated by multiplying the total number of tourists (in columns 1, 2 and 3) by the average tourist day per tourist (in columns 4, 5 and 6).

6) of this table (Table 03-THC).

- For the general scope of two areas of each province, city as well as the whole country, the tourist day index in all forms of tourism is aggregated from details to total (urban area + rural area = total; total of all provinces and cities = whole country) according to the data in the table.

Data on the ratio of domestic tourists to the domestic population and the number of tourists (calculated in general in table 01-THC); Average number of trips per tourist and total number of tourists (calculated in general in table 02-THC); Average number of days per trip and total number of days per tourist (calculated in general in table 03-THC) of domestic tourists classified by provinces, cities, urban and rural areas and tourism forms of the research year are the main purposes and contents of the survey of domestic tourists from households that we need to achieve.

The relationship of the survey form with the summary tables at the sample level and the general summary through the steps and phases of the above investigation is summarized in diagram 2.1 as follows:


Section 1: Survey content (survey design)


Section 2: Investigation diagram

Section 3: General processing

Phase 2

Table 01: THM

Table 02: THM

Table 03: THM

Table 01/DS list of households with DL people

Survey form

Phase 1

Table 01-TH


General Summary


Table 01: THC

Table 02: THC

Table 03: THC



Average annual population data

Figure 2.1. Relationship between survey forms and summary tables

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CHAPTER 2 SUMMARY


In summary, the content of chapter 2 focuses on researching and proposing methods for collecting information on tourism business performance results. Starting from presenting the current status of collecting information on tourism business performance results at the General Department of Tourism and the General Statistics Office. Next, we draw conclusions about the advantages and disadvantages of current information collection methods, thereby proposing methods for organizing information collection and synthesizing tourism business performance results in Vietnam.

There are two basic methods to collect and synthesize indicators reflecting the results of tourism business activities: periodic statistical reports and professional surveys. But the most important and prominent issue is the collection and synthesis of indicators on the number of visitors (trips), domestic tourist days, domestic tourist structure according to different criteria and the average number of trips per visitor. The household survey method is applied by developed countries with different ways of implementation depending on the characteristics and capabilities of each country. Within the scope of the study, the thesis proposes a household survey plan to synthesize indicators on domestic tourists.

The content of a survey plan requires solving many problems, the thesis only mentions some specific problems that are unique characteristics of the survey of domestic tourists from households. Specifically:

- Determine the purpose, object, scope, and content unit of the investigation


- Survey content, questionnaire design and summary table


- Building a survey scheme: the thesis proposes that the survey of domestic tourists from households will be conducted in 2 phases: Phase 1, combined with the survey of population changes, labor resources and family planning on April 1 to determine households with and without tourists in the research year; Phase 2, conducting a survey of the tourism situation of people in households with tourists. In other words, phase 1 helps us determine the scheme in phase 2, which details the survey process and summarizes the results in each phase.

- Processing, synthesizing and calculating the generalization of the survey results: Based on the purpose of the survey, based on the information content in the survey form, the final requirement is to calculate the following indicators: the ratio of domestic tourists to the total population, the total number of tourists, the total number of tourist arrivals (total number of trips), and the total number of tourist days, the average number of tourist arrivals (trips) per tourist, the average number of days of travel for a domestic tourist in the research year, the average number of destinations per trip... These indicators are all calculated by urban and rural areas, divided by province and city. In particular, the indicators of total number of visitors and total number of tourist days are also divided by tourism form (tour and self-organized tourism). To obtain the above information, the processing and synthesis of survey data must be carried out in two steps: processing and synthesizing at the sample level and synthesizing and generalizing at the general level.


CHAPTER 3

APPLYING SOME STATISTICAL METHODS TO ANALYZE BUSINESS PERFORMANCE RESULTS

VIETNAM TOURISM IN THE PERIOD OF 1996 - 2010 AND FORECAST TO 2015


To fully, comprehensively and deeply analyze the results of Vietnam's tourism business, it is necessary to have sufficient data according to the system of indicators presented in Chapter 1. However, in reality, the current data is both lacking, incomplete and not highly accurate. For example, the number of domestic tourists is not accurate, there are duplicates and omissions and there is no specific information on the characteristics of tourists; the social revenue indicator from tourism is only an estimate... Chapter 2 has proposed a method of collecting and synthesizing these indicators to minimize the existing disadvantages, suitable for the conditions of Vietnam, gradually moving towards unification and integration with international tourism statistics. The content of Chapter 3 will discuss the selection and use of statistical analysis and prediction methods in studying the results of tourism business activities. Within the scope of the thesis and financial capacity do not allow, so here we only synthesize and analyze some indicators that can be collected to analyze and illustrate the feasibility of the selected methods, initially giving a general picture of the results of tourism business activities in recent years and forecasting to 2015. Statistical analysis and prediction methods are used in accordance with the existing document conditions to best exploit these data. The significance of the conclusions drawn through analysis depends largely on the quality of the existing data, we do not discuss this issue here.


3.1. Select statistical methods to analyze and predict tourism business performance

Tourism business performance reflects the level of resource utilization and cost savings in business operations to achieve high results in achieving business objectives. Expanding the scale of operations and increasing tourist attraction are basic tasks in tourism management both at the macro level and within the scope of tourism businesses. To perform these tasks well, it is necessary to regularly obtain statistical information that comprehensively reflects the results of tourism business operations.

To meet these requirements, in addition to building a system of indicators and statistics on business performance, it is necessary to select a system of analysis and prediction methods to present basic information including:

Firstly, analyze the statistical indicators of tourism business performance in relation to each other. It is necessary to determine appropriate analysis methods and indicators to allow comparison of tourism business performance both within the entire industry and within the business activities of tourism business units.

Second , business performance always fluctuates at different times and is related to the use of different business resource factors. One of the basic goals in tourism activities is to maintain and improve results. Therefore, statistical analysis of tourism business performance requires paying attention to information reflecting fluctuations, comparing business performance at each time with previously achieved levels in order to fully understand the current state of business activities in its development process.


Third , tourism business performance is affected by many different factors. These factors are very diverse, including direct and indirect factors. Moreover, tourism business performance itself can be a factor affecting changes in business performance. For example, in a tourism business consisting of many business departments, the business of each department can impact and improve the overall business performance of the entire enterprise. Therefore, an important content in statistical analysis of tourism business performance is to analyze the impact of factors on tourism performance and the relationship between results and business performance.

Finally , it is necessary to have information to predict future development situations in order to proactively build business plans and make the most of the country's available potential in developing tourism business activities.

With the above requirements on the content of statistical information on tourism business performance, based on the characteristics of statistical analysis and prediction methods, the following basic methods can be selected:

3.1.1. Statistical grouping methods, statistical tables and graphs


Statistical grouping is based on one or several criteria to divide the units of the research phenomenon into groups (sub-groups) with different characteristics. It is one of the important statistical analysis methods and is the basis for applying other statistical methods.

Disaggregate tourism business performance results to reflect the scale and characteristics of tourism business performance results according to each criterion of the research purpose, helping to calculate indicators reflecting the level, fluctuation situation, relationship between phenomena and explain the nature and trend.


development direction of tourism business results in specific time and location conditions.

Statistical analysis of tourism business results can apply the following types of disaggregation: classification disaggregation, structural disaggregation, disaggregation by one criterion, disaggregation by many criteria, and combined disaggregation. For example, international tourists can be disaggregated by one criterion or two or three criteria: nationality, purpose of trip, length of stay to study the relationship between these criteria. The results of the disaggregation process are designed in a table called a statistical table. A statistical table is a form of presenting statistical documents in a systematic, reasonable, and clear manner.

Depending on the overall scale and content of the research indicators, statistical tables can be set up in different types including: simple tables, disaggregated tables and combined tables.

- Simple table is a type of table where the subject part is not divided into groups, only arranging the overall units according to name, locality or research time. For example, the table reflects the number of tourists per year, the subject part only lists the years in chronological order.

- A grouping table is a type of table in which the research object recorded in the topic section is divided into groups according to a certain criterion. For example, the table reflects the structure of international visitors by nationality or by purpose of trip...

- A combination table is a table in which the research object recorded in the topic section is grouped according to 2 or 3 criteria combined together, used to represent the results of grouping according to many criteria. For example, the table reflects the structure of international visitors by nationality, purpose of trip and average number of days of stay to represent the grouping results, studying the relationship between 3 criteria.

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