It would be more beneficial in the business strategy planning process if the Company could use more effective analytical tools to clearly identify the fluctuating nature of business performance indicators in order to have specific solutions.
Table 2.12: Profitability analysis table of input factors of Dai Thanh Wood Technology Joint Stock Company
STT
INDICATORS | 2009 | 2010 | DIFFERENCE | |
1 | Profit after tax (VND) | 294,389,965 | 6,283,830,314 | + 5,989,440,349 |
2 | Revenue pure (copper) | 213,689,626,354 | 330,412,939,550 | +116.723.313.196 |
3 | Total assets (copper) | 336.456.774.037 | 462.143.628.834 | +125.686.854.797 |
4 | Equity (copper) | 48,076,827,442 | 86,642,481,937 | + 38,565,654,495 |
5 | Revenue profitability = (1)*100/(2) (%) | 0.14 | 1.90 | + 1.76 |
6 | Return on assets = (1)*100/(3) (%) | 0.09 | 1.36 | + 1.27 |
7 | Profitability of equity = (1)*100/(4) (%) | 0.61 | 7.25 | + 6.64 |
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Identify Rating Levels and Rating Scales
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of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
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Analysis of business efficiency in Vietnamese mineral exploitation enterprises - 1 -
Completing the analysis of business efficiency in wood processing enterprises for export in the South Central region - 27 -
Completing the analysis of business efficiency in wood processing enterprises for export in the South Central region - 32 -
The impact of input factors on the economic efficiency of lobster farming in Phu Yen province - 2

(Source: Business performance analysis tables of Dai Thanh Wood Technology Joint Stock Company [23])
Regarding Tan Thanh Dung Quat Wood Export Joint Stock Company, the Company's conclusion after analyzing the Profitability indicators in Table 2.13 (page
116) is still the business activity of the enterprise in 2010 is not effective.
The results were better than in 2009. According to the Company, because the profit after tax in 2010 was still a negative number, the Profitability indicators, although improved, still had negative values, showing ineffective business operations.
Table 2.13: Profitability analysis table of input factors of Tan Thanh Dung Quat Wood Export Joint Stock Company
STT
INDICATORS | 2009 | 2010 | DIFFERENCE | |||
1 | Profit tax (VND) | after | (1,029,091,912) | (73,619,805) | + | 955.472.107 |
2 | Net revenue (copper) | 9,538,947,005 | 14,580,087,241 | + 5,041,140,236 | ||
3 | CEO (copper) | product | 19,397,293,108 | 23,345,481,573 | + 3,948,188,465 | |
4 | Equity (copper) | 12,046,937,932 | 17.150.725.122 | + 5,103,787,190 | ||
5 | Revenue profitability = (1)*100/(2) (%) | - 10.79 | - 0.50 | + 10.29 | ||
6 | Return on assets = (1)*100/(3) (%) | - 5.31 | - 0.32 | + 4.99 | ||
7 | Profitability of equity = (1)*100/(4) (%) | - 8.54 | - 0.43 | + 8.11 | ||
(Source: Business performance analysis tables of Tan Thanh Dung Quat Wood Export Joint Stock Company [29])
However, we believe that the comments of Tan Thanh Dung Quat Wood Export Joint Stock Company may be one-sided if there is no proper attention to factors affecting after-tax profit - the main indicator.
affecting the fluctuations of profitability indicators. According to our calculations, the actual data of the Company shows that the reason for the negative profit after tax is mainly because financial income is not enough to cover financial costs, although the enterprise has changed its capital use policy to reduce interest expenses - the main component of financial costs. Moreover, the enterprise has not yet analyzed the nature of the movement of the indicators, so it cannot confirm that the conclusions made are completely accurate.
For Gia Dai Toan Joint Stock Company, the analysis process was not as smooth as the previous two contents when the Profitability indicators shown in Table 2.14 (page 117) in 2010 and 2009 fluctuated in different directions, which made it difficult for the Company to draw conclusions.
Table 2.14: Profitability analysis table of input factors of Gia Dai Toan Joint Stock Company
STT
INDICATORS | 2009 | 2010 | DIFFERENCE DEVIATED | |
1 | Profit after tax (copper) | 351,102,774 | 410,834,389 | + 59,731,615 |
2 | Net revenue (VND) | 11,896,563,431 | 16,378,047,940 | + 4,481,484,509 |
3 | Total assets (VND) | 3,539,263,039 | 3,826,762,631 | + 287,499,592 |
4 | Equity (VND) | 2,401,102,774 | 2,811,937,163 | + 410,834,389 |
5 | Business profitability revenue = (1)*100/(2) (%) | 2.95 | 2.51 | - 0.44 |
6 | Asset yield = (1)*100/(3) (%) | 9.92 | 10.74 | + 0.82 |
7 | Return on capital CSH = (1)*100/(4) (%) | 14.62 | 14.61 | - 0.01 |
(Source: Business performance analysis tables of Gia Dai Toan Joint Stock Company [26])
The reason why Gia Dai Toan Joint Stock Company is confused in drawing analytical conclusions is because it has not been able to use the method of analyzing the relationship between business performance indicators. This difficulty has affected the Company's interest in business performance analysis activities.
For An Nhon Forest Products Processing Enterprise, through table 2.15 (page
118) The enterprise concluded that although compared to 2009, the Profitability of revenue in 2010 decreased, both the Profitability of assets and the Profitability of equity increased significantly and the profit after tax always had a positive value, so it can be affirmed that business activities have become more effective.
Table 2.15: Profitability analysis table of input factors of An Nhon Forest Products Processing Enterprise
STT
INDICATORS | 2009 | 2010 | DIFFERENCE | |
1 | Profit after tax (copper) | 1,158,395,942 | 1,537,631,142 | + 379,235,200 |
2 | Net revenue (copper) | 36,899,802,811 | 50,756,648,083 | +13.856.845.272 |
3 | Total assets (VND) | 22,867,284,433 | 18,614,209,370 | - 4,253,075,063 |
4 | Equity (copper) | 4,542,696,152 | 5,096,343,085 | + 553,646,933 |
5 | Revenue profitability = (1)*100/(2) (%) | 3.14 | 3.03 | - 0.11 |
6 | Profitability of assets product = (1)*100/(3) (%) | 5.07 | 8.26 | + 3.19 |
7 | Return on capital CSH = (1)*100/(4) (%) | 25.50 | 30.17 | + 4.67 |
(Source: Business performance analysis tables of An Nhon Forest Products Processing Enterprise [97])
Although the conclusions that An Nhon Forestry Processing Enterprise has given are also relatively tight and logical through all the contents. However, in our opinion, if the Enterprise cares to explain why the Revenue Profitability indicator has decreased and find solutions to overcome it, the conclusions will be of better quality. The reason is that if the enterprise is satisfied with the results obtained, it is likely to affect the finding of measures to improve business efficiency in the coming years.
Thus, in the group of indicators for analyzing the profitability of costs or input factors, wood processing enterprises exporting in the South Central region are only interested in the indicators of the Profitability of input factors but have not paid any attention to the indicators of the Profitability of costs. This is not consistent with the business characteristics of enterprises in the industry when costs account for a large proportion and significantly affect the business efficiency of enterprises, especially direct material costs. Moreover, enterprises have not been interested or have been interested but do not know how to use analytical methods based on the relationship between business efficiency indicators. In addition, many enterprises are still confused when drawing analytical conclusions when the changes of indicators are in opposite directions or completely deny all efforts to improve business activities compared to the previous period if the profit is already negative. In addition, some businesses are too satisfied with current good results, so they do not care to find out the causes that have little impact on business efficiency and ignore improving those weaknesses.
In short, although many indicators have been developed to analyze business performance and to evaluate business performance, wood processing enterprises exporting in the South Central region still evaluate based on subjective judgments without a solid basis.
This situation is quite common because it comes from a fundamental cause which is that the method of analyzing business performance is not really suitable. The common method that businesses use is the comparison method, with this method it is impossible to determine the nature of the fluctuations in business performance indicators but can only observe the superficial changes.
2.3. ASSESSMENT OF THE CURRENT STATE OF BUSINESS PERFORMANCE ANALYSIS IN WOOD PROCESSING ENTERPRISES FOR EXPORT IN THE SOUTH CENTRAL REGION
2.3.1. About the analysis organization
If fully equipped with knowledge of business performance analysis, businesses will see that business performance analysis plays a very important role in business operations. Business performance analysis not only helps businesses evaluate the current state of operations as well as business results, but can also propose solutions to improve business operations as well as make reasonable decisions based on the conclusions of the analysis process. However, the current reality shows that business performance analysis has not really received attention in wood processing export enterprises in the South Central region. Specifically:
In terms of achievements: it is undeniable that there are some enterprises interested in business performance analysis in one form or another, although the number of enterprises in this category is not large. This shows that there are enterprises that are aware of the importance of business performance analysis, although not fully.
Regarding the aspects that have not been achieved, they can specifically include:
First of all, we must mention the attitude of businesses towards business performance analysis: Most businesses have not really realized the importance and usefulness of business performance analysis.
Business planning and future development orientation for the business have not yet required mandatory business performance analysis.
Next, it can be seen immediately that the business performance analysis process has not been organized scientifically and specifically. Currently, most businesses that have conducted business performance analysis only conduct it in a sketchy manner or do not follow a standard analysis process. Therefore, the documents, human resources, and material resources used in the analysis are not fully prepared, the analysis content is not consistent between periods, and the analysis conclusions are still general.
In addition, business performance analysis has not been organized regularly and periodically because the analysis process must be rebuilt each time an analysis is performed, which hinders the business performance analysis of the enterprise.
In addition, the work of analyzing business performance is assigned to a part-time accountant, so the reliability and completeness of the information provided by the analysis process cannot be guaranteed. In addition, the person providing accounting information for business performance analysis is also the person performing the analysis, which cannot ensure the objectivity of the information.
Finally, another weakness that businesses need to overcome is the quality of accounting work. Quality here refers not only to the capacity of the accountant but also to whether the work performed by the Accounting Department has truly provided accurate, objective and useful information to serve the analysis of business performance.
In summary, regarding the work of organizing and analyzing business efficiency in wood processing enterprises for export in the South Central region, the aspects that have been and have not been implemented can be summarized as follows:
In terms of implementation: many businesses have conducted business performance analysis.
In terms of implementation: most businesses do not realize the importance of business performance analysis, so the analysis process is not scientifically and specifically organized, analysis activities are not regular and analysis staff lack expertise.
Thus, although some wood processing enterprises exporting in the South Central region have conducted business efficiency analysis, the analysis is still quite arbitrary, not organized into a reasonable process, the system of analysis indicators has not yet fully reflected the characteristics of the industry and the analysis methods are still simple and have not clarified the nature of the problem.
2.3.2. About the analysis method
Business performance analysis methods contribute significantly to providing useful information for management. Therefore, if appropriate business performance analysis methods are selected and used, the analysis results will indicate not only the trend of the analysis indicators but also the nature and causes affecting the fluctuations of the indicators.
The reality at the wood processing enterprises exporting in the South Central region today shows that the main method used is the comparison method. It is undeniable that the advantages of this method are simplicity, easy calculation and time saving, but these advantages limit the provision of specific and detailed information about the analysis content. When using the comparison method in analysis, enterprises only obtain conclusions about the trend of the business performance of the enterprise but cannot obtain accurate conclusions about the nature of the analysis content. The nature of the analysis content will help the analysis conclusion of the enterprise.





