Journal of Resources and Ecology >
Progresses and Perspectives of the Resource Evaluation Related to Agri-cultural Heritage Tourism
Received date: 2021-08-02
Accepted date: 2021-10-26
Online published: 2022-06-07
Supported by
The Strategic Priority Research Program of the Chinese Academy of Sciences(XDA23100203)
The National Natural Science Foundation of China(41971264)
The Premium Funding Project for Academic Human Resources Development in Beijing Union University(Baijie04)
The scientific evaluation of tourism resources is not only an important prerequisite for the development of agri-cultural heritage tourism (AHT), but it can also promote the conservation and management of Important Agricultural Heritage Systems (IAHS). With the goal of providing scientific support for the sustainable management of tourism resources, this review systematically analyzes the overall situation, research regions, developmental timeline trends, key fields and hot topics of resource evaluation research related to AHT over 2005-2020. With a comprehensive perspective that incorporates both traditional literature review and quantitative literature review, the study revealed four important aspects of AHT research. (1) Relevant articles could be divided into two phases, a development-oriented period (2005-2012) and a conservation-oriented period (2013-2020). (2) GIAHS accounts for the absolute majority (about 66.7%) of relevant studies. In particular, Longji Terraces System, Hani terraces system and Dong’s Rice-Fish-Duck System were the research hotspots IAHS, and Yunnan, Zhejiang and Guangxi were the research hotspot provinces. (3) Terraced landscapes and tea culture were the most popular themes in tourism resource evaluation, while sports tourism, tea culture tourism and study tours are becoming the new trends in IAHS sites. (4) Research methods have undergone a shift from qualitative to quantitative approaches, and a combination of these two in an interdisciplinary manner is becoming a new research trend. By reviewing and prospecting the relevant literature, this study not only makes a unique contribution to the tourism resource evaluation of IAHS, but also helps to enrich the relevant evaluation theories and further promote the sustainable development of heritage tourism from theoretical and methodological perspectives.
MIN Qingwen , WANG Bojie , SUN Yehong . Progresses and Perspectives of the Resource Evaluation Related to Agri-cultural Heritage Tourism[J]. Journal of Resources and Ecology, 2022 , 13(4) : 708 -719 . DOI: 10.5814/j.issn.1674-764x.2022.04.016
Fig. 1 The research framework |
Fig. 2 Time distribution of literature from 2005 to 2020 |
Fig. 3 The research article distribution of heritage types in AHS |
Table 1 The GIAHS sites which have more than 10 publications |
Province | GIAHS site | Articles | Dissertations | Total |
---|---|---|---|---|
Guangxi | Longji Terraces System, Longsheng | 23 | 15 | 38 |
Yunnan | Hani Rice Terraces System, Honghe | 18 | 17 | 35 |
Guizhou | Dong’s Rice-Fish-Duck System, Congjiang | 14 | 10 | 24 |
Yunnan | Pu’er Traditional Tea Agrosystem, Pu’er | 11 | 5 | 16 |
Zhejiang | Rich-Fish Culture System, Qingtian | 11 | 1 | 12 |
Hunan | Ziquejie Terraces, Xinhua | 8 | 4 | 12 |
Gansu | Zhagana Agriculture-Forestry-Animal Husbandry Composite System, Diebu | 10 | 1 | 11 |
Jiangsu | Duotian Agrosystem, Xinghua | 10 | 1 | 11 |
Table 2 The China-NIAHS sites which have more than three publications |
Province | China-NIAHS sites | Articles | Dissertations | Total |
---|---|---|---|---|
Sichuan | Linpan Farming System, Pidu | 2 | 7 | 9 |
Zhejiang | Traditional Freshwater Pearl Utilization System, Deqing | 1 | 6 | 7 |
Heilongjiang | Hezhe Nationality Fish Culture System, Fuyuan | 6 | 0 | 6 |
Fujian | Tieguanyin Tea Culture System, Anxi | 4 | 2 | 6 |
Jiangsu | Gaoyou Lake Agricultural System, Gaoyou | 3 | 2 | 5 |
Zhejiang | Mushroom Cultural System, Qingyuan | 3 | 1 | 4 |
Zhejiang | Bamboo Culture System, Anji | 2 | 2 | 4 |
Guangdong | Dike-pond System, Foshan | 3 | 1 | 4 |
Fig. 4 The provincial distribution of the publications |
Table 3 The top 10 high-frequency tourism resource evaluation methods related to AHS |
No. | Count | Year | Keyword | No. | Count | Year | Keyword |
---|---|---|---|---|---|---|---|
1 | 74 | 2005 | SWOT model | 6 | 16 | 2009 | IPA method |
2 | 32 | 2007 | AHP method | 7 | 12 | 2006 | Fuzzy level comprehensive evaluation method |
3 | 28 | 2006 | AHP Fuzzy Rating model | 8 | 12 | 2011 | Principal component analysis method |
4 | 25 | 2009 | SWOT-AHP method | 9 | 8 | 2013 | Entropy weight method |
5 | 19 | 2009 | Multi-level grey evaluation method | 10 | 5 | 2009 | AHP-fuzzy comprehensive evaluation method |
Fig. 6 Timeline map of AHT resource evaluation research |
Table 4 Top 15 keywords with the strongest citation bursts during 2005-2020 |
Keywords | Begin | End | Strength 1 | 2005-2020 2 |
---|---|---|---|---|
Agri-cultural heritage | 2005 | 2019 | 24.51 | |
Tourism development | 2005 | 2009 | 9.21 | |
Qingtian | 2005 | 2009 | 7.01 | |
Rice-culture system | 2005 | 2010 | 8.45 | |
Tourism resource | 2006 | 2018 | 15.71 | |
Development strategy | 2006 | 2010 | 8.67 | |
Development model | 2006 | 2010 | 6.41 | |
Evaluation method | 2006 | 2010 | 7.17 | |
Hani Terraces | 2010 | 2014 | 6.11 | |
Dynamic conservation | 2010 | 2014 | 8.31 | |
China-NIAHS | 2012 | 2019 | 11.03 | |
Quantification method | 2015 | 2018 | 6.39 | |
Tea culture | 2018 | 2020 | 3.62 | |
Rural revitalization | 2018 | 2020 | 3.41 | |
Study tours | 2019 | 2020 | 2.98 |
Note: 1 Strength is an indicator to measure the degree of a burst event. The larger the value, the more active the keyword is in the research field. 2 The red lines indicate the years with active burst words, and the blue lines indicate the years with inactive burst words. |
Fig. 5 The network of keywords for tourism resource evaluation related to AHS |
Fig. 7 The network of institutions for tourism resource evaluation related to AHS |
Fig. 8 The network of authors for tourism resource evaluation related to AHS |
Table 5 The advantages and disadvantages of each evaluation method |
Method | Advantages | Disadvantages |
---|---|---|
AHP method | Easy to evaluate; has a wide application range | Strong subjectivity |
Single technical index analysis | Strong pertinence; easy to classify the evaluation objects | Difficult to evaluate complex research objects; high requirements for technicians |
GIS/ remote sensing | Visual display of results; distinguishes the differences between different regions | Need proficiency for GIS or remote sensing; difficult to obtain the data |
Monetary value method | Ability to quantify resources in monetary terms; able to classify and evaluate use value and non-use value | The error of the results fluctuates greatly |
Principal component analysis | Simplified evaluation structure | High requirements for data quality |
Fuzzy mathematics method | Discussion can be classified according to different research objectives | High correlation degree of evaluation index, which can easily cause repeated evaluation |
Grey evaluation method | Low sample quantity requirements | Difficult to handle large volumes of data |
Entropy weight method | High accuracy | High requirements for data quality; difficult to evaluate non-material resources |
Artificial neural network method | Has self-learning function; able to find optimal solutions at high speed | Need proficiency for programming technology |
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
Food and Agriculture Organization of the United Nations. 2019. Globally Important Agricultural Heritage Systems (GIAHS). http://www.fao.org/giahs/en/.html.
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
Ministry of Agriculture and Rural Affairs of the People’s Republic of China. 2015. Regulation on Important Agricultural Heritage Systems. http://www.fgs.moa.gov.cn/flfg/201509/t201509076315713.htm.
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
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