RELATIONSHIP BETWEEN TOURIST PERCEIVED IMAGE OF LEISURE AGRICULTURE AND THE TOURIST BEHAVIORAL INTENTION

DOI: 10.24205/03276716.2020.55

RELATIONSHIP BETWEEN TOURIST PERCEIVED IMAGE OF LEISURE

AGRICULTURE AND THE T

OURIST BEHAVIORAL INTENTION

Youcheng Chen

_{, Wenqi Liu}

_{, Ziqiang Li}

_,

Yongqiang Ma

_{, Shuisheng Fan}

_*

Abstract

This paper aims to promote leisure agriculture and its products based on the psychology of tourists. Focusing a tourist destination of leisure agriculture in China, a questionnaire survey was carried out on the tourists with the aid of the Likert 5-point scale. Through factor analysis and regression analysis of the survey data, the author identified the dimensions of the tourist perceived image of leisure agriculture, and analyzed the relationship between the tourist perceived image, the tourist cultural identity, and the tourist behavioral intention. The results show that the tourist perceived image of the destination can be summarized as affective image, tourism products and services, tourism functions and environment; the tourist perceived image of the destination has a significant positive impact on the tourist behavioral intention; the tourist cultural identity directly affects tourist behavioral intention, and significantly mediates the relationship between the tourist perceived image and the tourist behavioral intention. The research findings enrich the theories on the images of tourist destinations and help to popularized leisure agriculture.

Key words: Tourist perceived image, tourist behavioral intention.

Received: 12-02-19 | Accepted: 02-06-19

INTRODUCTION

In 2017, the Ministry of Agriculture of China proposed to promote the structural reform of the agricultural supply side by actively developing leisure agriculture and accelerating the construction of modern agricultural parks (Zhong, Yu, & Bai, 2019). In response to the call of the country, Anxi County has integrated the tea resources and tea culture tourism to construct tea estates and plantations, and the government of all levels in Anxi County has made the development of tea culture tourism and the increase of effective supply a prioritized work, and actively developed leisure agriculture with

1_{Anxi College of Tea Science, Fujian Agriculture and Forestry} University, Quanzhou 362400, China. 2_{Fujian Tea Industry} Development Research Center, Fuzhou 350001, China. 3_{Collaborative Innovation Center of Modern Agriculture} Industrial Park of Anxi County, Fujian Province, Quanzhou 362400, China.

E-Mail: [email protected]

regional characteristics. In July 2017, in the

Notice on Implementation of Tea Plantation Construction Strategies, Anxi County requires to construct a batch of “gold medal” tea estates with distinctive characteristics, green production methods, significant economic benefits and strong radiant capacity. However, in the process of tourism promotion of tea estates in Anxi County, there were problems such as the tourist image can hardly be perceived by the tourists, and the poor publicity effect, etc. The perceived image and behavioral intention of tourists are of great significance to increase the number of tea estate tourists, enhance the popularity of the tea gardens, and promote the structural reform of the supply side in Anxi County.

Studies on the image structure of tourism destinations can be divided into three genres: the influence factor theory, the three-dimensional space theory and the psychological schema theory (Jackson & Murphy, 2002). The

YOUCHENG CHEN,WENQI LIU,ZIQIANG LI,YONGQIANG MA,SHUISHENG FAN 400

tourist perceived image of tourist destinations belongs to the theory of psychological schema, which mainly constructs the image structure of tourist destinations from the perspective of the tourists' psychological perception. Garter (1994) proposed the “three-dimensional structure” of the tourist perceived image of tourist destinations, including cognitive image, affective image and conative image. Baloglu & McCleary (1999) then proposed a “new three-dimensional

structure”, namely cognitive image, affective image and overall image, and this structure has been recognized by some domestic scholars. The measurement of the customers’ behavioral intention usually consists of multiple dimensions, a representative method is the one that Parasuraman used a scale with 5 dimensions and 13 question items to measure the

customers’ behavioral intention, and the 5 dimensions include loyalty, premium purchase willingness, brand conversion, internal response and external reaction (Fishbein & Ajzen, 1977). In the field of tourism research, scholars have different measurement dimensions for the tourist behavioral intention. Kim, Sun, & Kim (2013) believes that tourist behavioral intention is manifested through four aspects: revisit willingness, recommendation willingness, word of mouth promotion, complaints and appeals; Shen (2012) used repurchase tendency, word of

mouth promotion and recommendation

willingness to measure the tourist behavioral intention in their research; Allameh, Pool, Jaberi et al. (2014) used recommendation willingness, revisit willingness, and premium purchase willingness for their measurement. In summary, domestic scholars rarely explore the tourist perceived images of tea estates. When studying the relationship between the tourist perceived image of the tourist destinations and tourist behavioral intention, previous scholars mostly took customer satisfaction, customer loyalty and perceived value as the intermediary variables, and few took the tourist cultural identity as the intermediary variable to explore the relationship between the two.

This paper takes the Anxi tea estates as research objects to analyze the relationship between the tourist perceived image and the tourist behavioral intention. By dividing the dimensions of the tourist perceived image of the Anxi tea estates, this paper determines the main factors that constitute the tourist perceived

providing a reference for the Anxi tea estates to shape and promote their tourism image in a targeted manner, and for the local tourism management department to promote the tourism image of Anxi tea estates and accelerate the implementation of tea cultural tourism activities.

The first part of the paper proposes research hypotheses and theoretical model; the second part introduces the source of the research data; the third part analyzes the data and tests the hypotheses; the fourth part discusses the

research conclusions and puts forward

countermeasures and suggestions.

RESEARCH HYPOTHESES AND THEORETICAL MODEL

A large number of researchers at home and abroad have verified that the tourist perceived image has positive effects on different tourism stages and the tourist behavioral intention such as purchase behavior, travel behavior, revisit behavior, and recommendation willingness, etc., and these effects might be direct or indirect (Zhang, 2019; Ao, & LI, 2019). Tourism activities can affect the cultural identity of tourists, and the tourist perceived images of tourist destinations that are formed by tourists based on their perception of tourism activity and other elements would also affect the tourists’ cultural identity (Baloglu & McCleary, 1999; Kongprasert & Virutamasen, 2013), this is especially true for tourist destinations with unique cultural characteristics, such as the Anxi tea estates; the tourism product is a special commodity type, the tourist cultural identity has an impact on their behavioral intention, and it would enhance the

customers’ satisfaction and increase their willingness to revisit (Ma, Xin, Wang et al., 2016; Huang, Huang, & Wu, 2019; Fuentes & León, 2017).

Based on this, the following hypotheses are proposed:

H1: There is a positive influencing relationship between the tourist perceived image of Anxi tea estates and the tourist behavioral intention.

H1a: There is a positive influencing relationship between the affective image and the tourist behavioral intention.

H1b: There is a positive influencing relationship between the tourism products and services and the tourist behavioral intention.

relationship between the tourism functions and environment and the tourist behavioral intention.

H2: There is a positive influencing relationship between the tourist perceived image of Anxi tea estates and the tourist cultural identity.

H2a: There is a positive influencing relationship between affective image and the tourist cultural identity.

H2b: There is a positive influencing relationship between the tourism products and services and the tourist cultural identity.

H2c: There is a positive influencing relationship between the tourism functions and environment and the tourist cultural identity.

H3: Under the scenario of Anxi tea estates, there is a positive influencing relationship between the tourist cultural identity and the tourist behavioral intention.

H4: Tourist cultural identity plays a mediating role between the tourist perceived image of Anxi tea estates and the tourist behavioral intention. Based on the above hypotheses, a research model was established (see Figure 1).

DATA SOURCE

The questionnaire mainly consists of two parts. The first part is the personal information of the visitors of Anxi tea estates, including

gender, age, average monthly income,

occupation, origin of the visitor, understanding and fondness of tea culture, etc. The second part takes the visitors of Anxi tea estates as the subjects to measure the variables in this study, namely the tourist perceived image of Anxi tea estates, the affective image, the tourist cultural

identity, and the tourist behavioral intention. To facilitate data statistics, a 5-point Likert scale was adopted to study the variables. This study collects information through field survey and online questionnaires. Visitors who have been to Anxi tea estates were selected as the respondents, and the survey methods were field survey and electronic questionnaire survey. The survey time is from February 15 to March 15, 2019. The e-questionnaire mainly invited visitors who have visited Anxi tea estates to fill in the questionnaires. A total of 265 questionnaires were distributed, of which 150 were distributed in the field survey and 132 were returned; and 115 e-questionnaires were collected from the online survey. At last, 228 questionnaires were confirmed valid, and the effective rate of the questionnaire was 92.3%.

DATA ANALYSIS AND HYPOTHESIS TESTING

Descriptive statistics and analysis

The demographic characteristics of the tourist samples of Anxi tea estates (see Table 1) are as follows. In terms of the origin of tourists, the number of tourists who were from within the territory of Anxi County was the most, 88 people, accounting for 38.6% of the total sample number; 52 were from Quanzhou region, accounting for 22.8%; 25 people were from other places of Fujian Province, accounting for 11.0%. Therefore, the cumulative percentage of tourists from within the province was 72.4%, this result shows that tourists in Fujian Province, especially in Anxi and Quanzhou, are more willing to visit Anxi tea estates. In terms of the number of tourists, the number of tourists who visited Anxi

Figure 1

.

Research model

Affective image

Tourism products and

services

Tourism function and environment

H2

H3

H1 Tourist Perceived Image

of Anxi Tea Estatess

Tourist cultural identity

Tourist behavioral intention

YOUCHENG CHEN,WENQI LIU,ZIQIANG LI,YONGQIANG MA,SHUISHENG FAN 402

Table 1.

Descriptive statistical analysis of the samples

Survey project specific project Count (person) Proportion (%)

gender male 102 44.7

Female 126 55.3

age

≤20 years old 22 9.6

21-35 years old 158 69.3

36-50 years old 39 17.1

51-65 years old 8 3.5

>65 years old 1 0.4

Average monthly income

≤2000 yuan 84 36.8

2001-4000 yuan 55 24.1

4001-6000 yuan 50 21.9

6001-8000 yuan 15 6.6

>8000 yuan 24 10.5

Career

Civil servants and institutions 41 18.0

Business personnel 28 12.3

Self-employed persons 25 11.0

student 109 47.8

Retired staff 3 1.3

other 22 9.6

Source area

Anxi territory 88 38.6

Quanzhou 52 22.8

Within Fujian Province 25 11.0

Other provinces (producing tea provinces) 27 11.8

Other provinces (non-tea-producing provinces) 36 15.8

Times of tourism

1 time 94 41.2

2 times 51 22.4

3-4 times 37 16.2

5 or more times 46 20.2

Table 2.

Reliability and validity tests of the hypothesis model

variable name Cronbach's α KMO Bartlett sig. Variance interpretation / %

Tourism products and services 0.958 0.946 679.235 0.000 41.413%

Tourism functions and environment 0.944 0.821 817.134 0.000 34.584%

Affective image 0.874 0.738 830.634 0.000 84.239%

Cultural Identity 0.949 0.858 913.007 0.000 86.916%

Behavioral intention 0.921 0.838 749.259 0.000 81.885%

tea estates for the first time accounted for 41.2%, and the number of tourists who re-visited Anxi tea estates accounted for 58.8%, indicating that the proportion of tourists who went to Anxi tea estates to revisit was higher than the number of people who visited there for the first time.

Reliability and validity tests of the scale In this paper, Cronbach's α value was adopted for the reliability test, and the reliability coefficient of all variables was 0.985, which was greater than 0.9. After each evaluation factor was deleted, the value of the reliability coefficient was not significantly improved, indicating that the research data was highly reliable. At the same time, the Cronbach's α values of each variable were greater than 0.7

questionnaire have good reliability. Moreover, in this paper, Exploratory Factor Analysis (EFA) was adopted to measure the structural validity, and all variable scales were subject to the KMO test and the Bartlett’s test, the obtained KMO value was 0.969, which was greater than 0.9, and the approximate chi-square value of the Bart1ett's test was 10110.626, the degree of freedom was 630, and the corresponding P value was 0.000, indicating that the questionnaire has good structural validity. The KMO values of each variable were greater than 0.7 and all Bartlett values had passed the significance test (see Table 2). It indicates that the variables in the questionnaire have good structural validity.

perceived image of Anxi tea estates and the tourist behavioral intention

According to the results (see Table 3), the affective image was the first entering the model, indicating that it has the greatest impact on the tourist behavioral intention; followed by tourism products and services, and the tourism functions and environment, and all three independent variables had entered the final regression model, and the adjusted coefficient of determination of the final regression model was 0.754, that is, the three independent variables explained 75.4% of the total variation, and the fitting effect was good. The significance of the regression coefficients in the final regression model was less than 0.01, indicating that there is a significant linear relationship between the tourist behavioral intention and the affective image, the tourism products and services, and the tourism functions and the environment. In terms of collinearity diagnosis, the statistics of the tolerance values of the variables ranged from 0.258 to 0.471, and the VIF values of the variables were less than 10, indicating that there was no serious collinearity problem between the independent variables entering the regression equation. This has confirmed the research hypothesis H1: there is a positive influencing relationship between the tourist perceived image of Anxi tea estates and the tourist behavioral intention, is valid.

From the above analysis, a standardized regression equation can be derived:

Tourist behavioral intention=0.574 affective

image+0.257 tourism products and

services+0.200 tourism functions and

environment

This study analyzes in detail the impact of the three variables of affective image, tourism products and services, tourism functions and environment on the tourist behavioral intention, respectively (see Table 4). In model "H1a affective image and tourist behavioral intention", the standardized coefficient of affective image to tourist behavioral intention was 0.856, and the significant of the regression coefficient t-test was 0.000, indicating that the affective image and the tourist behavioral intention are highly positively correlated. Therefore, hypothesis H1a: there is a positive influencing relationship between the affective image and the tourist behavior intention, is valid.

In model “H1b tourism products and services and tourist behavioral intention”, the standardized coefficient of tourism products and services to tourist behavioral intention was 0.643, and the significant of the regression coefficient t-test was 0.000, indicating that the tourism products and services and the tourist behavioral intention are moderately positively correlated. Therefore, hypothesis H1b: there is a positive influencing relationship between the tourism products and services and the tourist behavioral intention, is valid.

Table 3.

Regression analysis results of tourist perceived image of Anxi tea estates and tourist

behavioral intention

Dependent variable model

Entering the regression

model order of

Non-standardized

coefficient Standard

coefficient t P R2

Adjustment

R2 F P B Standard

error

Tourist behavior intention

1 Constant 0.034 0.000 1.000 0.730 0.729 612.175 0.000 Affective image 0.855 0.035 0.855 24.742 0.000

2

Constant 0.034 0.000 1.000

0.739 0.737 318.269 0.000 Affective image 0.711 0.046 0.771 16.732 0.000

Tourism products and

services

0.124 0.046 0.124 2.702 0.007

3

Constant 0.033 0.000 1.000

0.758 0.754 233.416 0.000 Affective image 0.574 0.065 0.574 8.867 0.000

Tourism products and

services

0.257 0.055 0.257 4.698 0.000

Tourism functions and environment

YOUCHENG CHEN,WENQI LIU,ZIQIANG LI,YONGQIANG MA,SHUISHENG FAN 404

Table 4.

Regression analysis results of various variables of tourist perceived image of Anxi tea

estates and the tourist behavioral intention

Model

Non-standardized

Coefficient Standard

Coefficient t P R2

Adjustment

R2 F P

B Standard Error H1a Affective image

with tourist behavior intention

0.856 0.034 0.856 24.843 0.000 0.732 0.731 617.176 0.000

H1b Tourism products and services with

tourist behavior intentions

0.643 0.051 0.643 12.633 0.000 0.414 0.411 159.586 0.000

H1c Tourism functions and environment with

tourist behavior intention

0.509 0.057 0.509 8.881 0.000 0.259 0.255 78.867 0.000

In model “H1c tourism functions and environment and tourist behavioral intention”,

the standardized coefficient of tourism functions and environment to tourist behavioral intention was 0.509, and the significant of the regression coefficient t-test was 0.000, indicating that the tourism functions and environment and the tourist behavioral intention are moderately positively correlated. Therefore, hypothesis H1c: there is a positive influencing relationship between the tourism functions and environment and the tourist behavioral intention, is valid.

The relationship between the tourist perceived image of Anxi tea estates and the tourist cultural identity

According to the results (in Table 5) we can see that, the affective image was the first entering the model, indicating that it has the greatest impact on the tourist cultural identity; followed by tourism products and services, and the tourism functions and environment, and all three independent variables had entered the final regression model, and the adjusted coefficient of determination of the final regression model was 0.778, that is, the three independent variables explained 77.8% of the total variation, and the fitting effect was good. The significance of the regression coefficients in the final regression model was less than 0.01, indicating that there are significant linear relationships between the tourist cultural identity and affective image, tourism products and services, and tourism functions and the environment. In terms of collinearity diagnosis, the statistics of the tolerance values of the variables ranged from 0.258 to 0.471, and the

VIF values of the variables were all less than 10, indicating that there was no serious collinearity problem between the independent variables entering the regression equation. Therefore, the research hypothesis H2: there is a positive influencing relationship between the tourist perceived image of Anxi tea estates and the tourist cultural identity, is valid.

From the above analysis, a standardized regression equation can be derived:

Tourist cultural identity=0.493 affective

image+0.321 tourism products and

services+0.275 tourism functions and

environment

In order to explore the relationship between the tourist perceived image of Anxi tea estates and the tourist cultural identity, this study minutely analyzes the impact of the three variables of affective image, tourism products and services, and tourism functions and environment on the tourist cultural identity, respectively (see Table 6). In model “affective

image and tourist cultural identity”, the standardized coefficient of affective image to tourist cultural identity was 0.858, and the significance of regression coefficient t-test was 0.000, indicating that affective image and tourist cultural identity are highly positively correlated. Therefore, the hypothesis H2a: there is a positive influencing relationship between affective image and the tourist cultural identity, is valid.

In model “tourism products and services and tourist cultural identity”, the standardized coefficient of tourism products and services to tourist cultural identity was 0.653, and the

Table 5. Regression analysis results of tourist perceived image of Anxi tea estates and tourist

Dependent

Variable Model

Model Regression Order

Non-Standardized

Coefficient Standard

Coefficient t P R2

Adjust

R2 F P B Standard

Error

Tourist cultural identity

1 Constant 0.034 0.000 1.000 0.734 0.733 624.604 0.000 Affective image 0.857 0.034 0.857 24.992 0.000

2

Constant 0.034 0.000 1.000

0.745 0.743 328.613 0.000 Affective image 0.763 0.046 0.763 16.759 0.000

Tourism products and

services

0.140 0.046 0.140 3.066 0.002

3

Constant 0.031 0.000 1.000

0.781 0.778 265.577 0.000 Affective image 0.493 0.062 0.493 7.994 0.000

Tourism products and

services

0.321 0.052 0.321 6.184 0.000

Tourism functions and

environment

0.275 0.046 0.275 6.027 0.000

Table 6.

Model

Non-standardized

Coefficient Standard

Coefficient t P R2

Adjust

R2 F P

B Standard Error H2a Affective image with

cultural recognition of tourists

0.858 0.034 0.858 25.137 0.000 0.737 0.735 631.861 0.000

H2b Tourism products and services with cultural recognition of tourists

0.653 0.050 0.653 12.967 0.000 0.427 0.424 168.149 0.000

H2c Tourism functions and environment with cultural recognition of tourists

0.540 0.056 0.540 9.639 0.000 0.291 0.288 92.910 0.000

Table 7. Regression analysis results of tourist cultural identity and tourist behavioral intention

Model

Non-standardized

Coefficient Standard

Coefficient t P R2

Adjustment

R2 F P

B Standard Error H3 Tourist cultural

identity with tourist behavioral intention

0.860 0.034 0.860 25.358 0.000 0.740 0.739 640.020 0.000

significance of the regression coefficient t-test was 0.000, indicating that tourism products and services and tourist cultural identity are moderately positively correlated. Therefore, hypothesis H2b: there is a positive influencing relationship between the tourism products and services and the tourist cultural identity, is valid. In model “tourism functions and environment and tourist cultural identity”, the standardized

coefficient of tourism functions and

environment to tourist cultural identity was 0.540, and the significance of regression

coefficient t-test was 0.000, indicating that tourism functions and environment and tourist cultural identity are moderately positively correlated. Therefore, hypothesis H2c: there is a positive influencing relationship between the tourism functions and environment and the tourist cultural identity, is valid.

Relationship between tourist cultural identity and tourist behavioral intention

One-way regression analysis was conducted with tourist cultural identity as the independent

YOUCHENG CHEN,WENQI LIU,ZIQIANG LI,YONGQIANG MA,SHUISHENG FAN 406

Table 8. Mediating effect test results

Dependent

Variable Model

Non-standardized

Coefficient Standard

Coefficient t P R2

Adjust

R2 F P B Standard

Error

Tourist behavior intention

Constant 0.030 0.000 1.000

0.799 0.793 218.373 0.000

Affective

image 0.367 0.067 0.367 5.439 0.000

Tourism product and service

0.121 0.054 0.121 2.233 0.027

Tourism functions and

environment

0.084 0.047 0.084 1.770 0.078

Tourist cultural identity

0.421 0.064 0.421 6.538 0.000

Figure 2

.

Final research model

Affective image

Tourism product and services

Tourism functions and

environment

H1

Tourist cultural identity

Tourist intentional behavior Tea estates

perception image

Tourist cultural identity

Tourist intentional behavior

variable and the tourist behavioral intention as the dependent variable, and the results show (see Table 7) that the standardized coefficient of tourist cultural identity to tourist behavioral intention was 0.860, and the significance of regression coefficient t-test was 0.000, indicating that the tourist cultural identity and the tourist behavioral intention are highly positively correlated, and there is a very significant linear relationship between the two. The adjusted R2 _{was 0.739, indicating that the}

regression equation explained 73.9% of the total variation, the fitting effect of the regression model was acceptable, and the significance of

the F-test was 0.000, indicating that the linear relationship model was of extremely significant statistical significance. Therefore, hypothesis H3: under the scenario of Anxi tea estates, there is a positive influencing relationship between the tourist cultural identity and the tourist behavior intention, is valid.

From the above regression analysis, the standardized regression equation can be derived:

Tourist behavioral intention=0.860 tourist cultural identity

Mediating effect test

The results (in Table 8) show that the adjusted R2 _{of the regression equation was}

0.793, indicating that the regression equation explained 79.3% of the total variation, and the fitting effect of the regression model was acceptable; the significance of the F-test was 0.000, indicating the regression equation can pass the significance test. For the intermediary variable, the tourist cultural identity, the significance of the regression coefficient t-test was 0.000, less than 0.01, indicating that the tourist cultural identity has a significant mediating effect between the tourist perceived image of Anxi tea estates and the tourist behavioral intention. Therefore, hypothesis H4: tourist cultural identity plays a mediating role between the tourist perceived image of Anxi tea estates and the tourist behavioral intention, is valid.

According to above test results, the tourist cultural identity plays a significant intermediary role between the tourist perceived image and the tourist behavioral intention. Therefore, the research model of this paper has been modified (see Figure 2).

CONCLUSION

This study explored the dimensions of the tourist perceived image of Anxi tea estates. At the same time, multiple linear regression was adopted to analyze the relationship between the tourist perceived image of Anxi tea estates, the tourist cultural identity, and the tourist behavioral intention, and the following conclusions are drawn: (1) There is a positive influencing relationship between the tourist perceived image and the tourist behavioral intention, wherein the affective image has a significant positive impact on tourist behavioral intention; the tourism products and services has a significant positive impact on tourist behavioral intention; the tourism functions and environment has a significant positive impact on tourist behavioral intention. (2) The tourist perceived image of Anxi tea estates has a significant positive impact on the tourist cultural identity. (3) In case of Anxi tea estates, the tourist cultural identity has a significant positive impact on the tourist behavioral intention. According to the conclusions, this paper proposes suggestions from the following three aspects: first, we should explore into cultural

connotations in depth and show the charm of culture from multiple aspects; Anxi tea estates need to explore the connotations of the culture such as the King of Tea Competition, the primitive songs about tea, the Tie Guanyin tea art, the theme poems and couplets, and tea-related customs and history, etc., and we need to develop tea culture-experience products, create tea culture tourism brand, and let tourists participate in activities such as picking tea leaves, planting tea trees, or preparing tea leave or tea foods, etc. Second, we should improve the software and hardware levels, and improve the quality of tourism services. Improving software and hardware is an important means to attract visitors, construct tourist service agencies and teams, accelerate and perfect various public facilities and tourist service facilities, and create a comfortable tourist atmosphere. Finally, we should pay attention to the emotional experience of tourists and create a good affective image. Moreover, we need to improve the service awareness of employees, rationally plan and design the layout of the landscape, regularly measure and supervise the affective image perceived by tourists, and pay attention to tourists' feedback and network evaluation in a timely manner.

Acknowledgement

Ministry of Agriculture and Rural Affairs funded project “Construction of Modern Agriculture Industrial Park in Anxi County, Fujian Province”

(KMD18003A); Science and Technology Innovation Special Fund Project of Fujian Agriculture and Forestry University (KCXSL027A).

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