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- Agro-tourism as an extension strategy to promote agriculture in the...
Agro-tourism as an extension strategy to promote agriculture in the northern region of Thailand
Dissertation abstract:.
Agro-tourism represents two industries, namely, agriculture and tourism. The theoretical body of knowledge on agro-tourism remains undeveloped partly because of the competing terms and definitions of agro-tourism. This study aimed to analyze the agritourism system in the Northern Region of Thailand. Two government assisted and two independent agro-tourism sites were selected from a list of best performing sites ranked by the Department of Agricultural Extension and Tourism Authority. All of the owners were interviewed using a prepared interview guide about their management and strategies. A SWOT-TOWS analysis was likewise conducted with the owners. Moreover, visitors were interviewed to determine the reasons for going to the agro-tourism sites while interviews were conducted with government agencies and the local community members to determine their participation and benefits derived from the agro-tourism site.
Based from the results, the agri-focus in all sites was organic farming of different specialty crops such as grapes, passion fruit, tea, and vegetables. All of the agro-tourism sites were primarily Working Farm, Direct Contact, Staged agro-tourism (WFDCS) since most of their activities and attractions fell within these categories. To a lesser extent, they were also Working Farm, Indirect Contact agro-tourism (WFIC) and Working Farm, Passive Contact agro-tourism (WFPC) since all of them had activities classified under these categories. Experiential learning was the strategy for the visitors to understand agricultural practices and local cultures as they participate in learning technologies and processes. The owners benefited from diversification of income while the visitors derived relaxation, appreciation of agriculture and rural life, and additional knowledge about farm production and processing. The community, on the other hand, benefited from increase in employment, skills of the community members, and establishments. The proposed extension model, which is anchored on the typology of agro-tourism, strategies to promote agriculture, and the SWOT-TOWS conducted, presents specific strategies for the agricultural extension and other stakeholders to further improve the potentials of the agritourism sites to contribute to the agriculture, rural development and well-being of their customers.
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Nonlinear nexus between agricultural tourism integration and agricultural green total factor productivity in china.
1. Introduction
2. literature review, 2.1. the relationship between ati and agtfp, 2.2. the mediation effect of agricultural industrial structure adjustment index, 2.3. the threshold effect of human capital level, 3. methodology, 3.1. measurement of agtfp and ati, 3.2. empirical models, 3.2.1. baseline model, 3.2.2. mediating effect model, 3.2.3. threshold effect model, 3.3. variable selection, 4. empirical results, 4.1. descriptive statistics, 4.2. baseline model regression results, 4.3. mediating effect analysis, 4.4. threshold effect analysis, 5. discussion, 6. conclusions and policy recommendation, 6.1. conclusions, 6.2. policy recommendations, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.
ID | Province | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Beijing | 0.2333 | 0.2367 | 0.2611 | 0.2739 | 0.2977 | 0.3179 | 0.3209 | 0.3870 | 0.4138 | 0.4014 | 0.3914 |
2 | Tianjin | 0.1446 | 0.1513 | 0.1644 | 0.1692 | 0.1871 | 0.2050 | 0.1949 | 0.2974 | 0.3200 | 0.3191 | 0.3466 |
3 | Hebei | 0.2545 | 0.2581 | 0.2629 | 0.2698 | 0.2900 | 0.3012 | 0.3086 | 0.3348 | 0.3540 | 0.3433 | 0.3542 |
4 | Shanxi | 0.1586 | 0.1685 | 0.1850 | 0.1961 | 0.2033 | 0.2137 | 0.2219 | 0.2772 | 0.3134 | 0.2973 | 0.2830 |
5 | Inner Mongolia | 0.1752 | 0.1852 | 0.1988 | 0.2045 | 0.2133 | 0.2238 | 0.2321 | 0.2599 | 0.2728 | 0.2807 | 0.2850 |
6 | Liaoning | 0.2544 | 0.2624 | 0.2810 | 0.2901 | 0.2955 | 0.3050 | 0.3067 | 0.3406 | 0.3538 | 0.3469 | 0.3482 |
7 | Jilin | 0.1847 | 0.1911 | 0.2174 | 0.2242 | 0.2424 | 0.2465 | 0.2570 | 0.2812 | 0.2975 | 0.2880 | 0.2952 |
8 | Heilongjiang | 0.2268 | 0.2433 | 0.2446 | 0.2480 | 0.2762 | 0.2776 | 0.2943 | 0.3135 | 0.3138 | 0.3262 | 0.3267 |
9 | Shanghai | 0.1769 | 0.1849 | 0.1972 | 0.2046 | 0.2049 | 0.2122 | 0.2221 | 0.3196 | 0.3347 | 0.3407 | 0.3550 |
10 | Jiangsu | 0.2933 | 0.3114 | 0.3293 | 0.3304 | 0.3493 | 0.3605 | 0.3769 | 0.3997 | 0.4388 | 0.4240 | 0.4601 |
11 | Zhejiang | 0.3016 | 0.3112 | 0.3246 | 0.3406 | 0.3505 | 0.3643 | 0.3824 | 0.4096 | 0.4259 | 0.4382 | 0.4507 |
12 | Anhui | 0.2435 | 0.2538 | 0.2663 | 0.2680 | 0.2949 | 0.3100 | 0.3356 | 0.3657 | 0.3787 | 0.3787 | 0.3831 |
13 | Fujian | 0.2318 | 0.2410 | 0.2573 | 0.2784 | 0.2889 | 0.3074 | 0.3234 | 0.3585 | 0.3783 | 0.3770 | 0.3825 |
14 | Jiangxi | 0.2170 | 0.2275 | 0.2429 | 0.2586 | 0.2768 | 0.2891 | 0.3056 | 0.3270 | 0.3431 | 0.3509 | 0.3673 |
15 | Shandong | 0.3261 | 0.3436 | 0.3616 | 0.3613 | 0.3821 | 0.3992 | 0.4078 | 0.4363 | 0.4496 | 0.4454 | 0.4485 |
16 | Henan | 0.2484 | 0.2584 | 0.2691 | 0.2795 | 0.2979 | 0.2998 | 0.3112 | 0.3394 | 0.4103 | 0.3620 | 0.3953 |
17 | Hebei | 0.2533 | 0.2668 | 0.2828 | 0.2840 | 0.3062 | 0.3155 | 0.3280 | 0.3349 | 0.3518 | 0.3585 | 0.3801 |
18 | Hunan | 0.2424 | 0.2549 | 0.2683 | 0.2805 | 0.3009 | 0.3085 | 0.3197 | 0.3391 | 0.3692 | 0.3936 | 0.3818 |
19 | Guangdong | 0.2631 | 0.2802 | 0.2931 | 0.3087 | 0.3250 | 0.3397 | 0.3518 | 0.3749 | 0.3886 | 0.3827 | 0.3811 |
20 | Guangxi | 0.2113 | 0.2223 | 0.2362 | 0.2579 | 0.2695 | 0.2880 | 0.3074 | 0.3475 | 0.3735 | 0.3825 | 0.3953 |
21 | Hainan | 0.1875 | 0.1920 | 0.2130 | 0.2284 | 0.2446 | 0.2504 | 0.2551 | 0.2642 | 0.2702 | 0.2996 | 0.3228 |
22 | Chongqing | 0.1936 | 0.2096 | 0.2267 | 0.2360 | 0.2610 | 0.2734 | 0.2981 | 0.3205 | 0.3631 | 0.3623 | 0.3839 |
23 | Sichuan | 0.2472 | 0.2617 | 0.2771 | 0.2812 | 0.3022 | 0.3138 | 0.3286 | 0.3580 | 0.3852 | 0.3762 | 0.3787 |
24 | Guizhou | 0.1541 | 0.1683 | 0.1907 | 0.2099 | 0.2256 | 0.2667 | 0.2933 | 0.3324 | 0.3589 | 0.3428 | 0.3534 |
25 | Yunnan | 0.2096 | 0.2143 | 0.2303 | 0.2448 | 0.2590 | 0.2821 | 0.2941 | 0.3272 | 0.3676 | 0.3492 | 0.3711 |
26 | Shaanxi | 0.2005 | 0.2150 | 0.2365 | 0.2491 | 0.2571 | 0.2751 | 0.2929 | 0.3096 | 0.3363 | 0.3278 | 0.3402 |
27 | Gansu | 0.1422 | 0.1562 | 0.1641 | 0.1743 | 0.1939 | 0.2013 | 0.2123 | 0.2459 | 0.2516 | 0.2727 | 0.2904 |
28 | Qinghai | 0.0834 | 0.0822 | 0.0960 | 0.1184 | 0.1280 | 0.1485 | 0.1555 | 0.1950 | 0.2349 | 0.2330 | 0.2466 |
29 | Ningxia | 0.0665 | 0.0689 | 0.0862 | 0.1032 | 0.1078 | 0.1256 | 0.1396 | 0.1859 | 0.2625 | 0.2936 | 0.3066 |
30 | Xinjiang | 0.1538 | 0.1595 | 0.1722 | 0.1824 | 0.1913 | 0.2098 | 0.2135 | 0.2557 | 0.2837 | 0.2987 | 0.3200 |
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Click here to enlarge figure
Type of Variables | Evaluation of Indicator | Unit | |
---|---|---|---|
Input indicators | Agricultural Labor Input | Number of employees in the primary industry | 10,000 persons |
Agricultural Land Input | Total sown area of crops and aquaculture area | 1000 hectares | |
Agricultural Capital Input | Usage of agricultural fertilizers | 10,000 tons | |
Total power of agricultural machinery | 10,000 kilowatts | ||
Usage of agricultural plastic film | 10,000 tons | ||
Usage of pesticides | 10,000 tons | ||
Agricultural Energy Input | Usage of agricultural diesel | 10,000 tons | |
Agricultural Water Input | Effective irrigation area | 1000 hectares | |
Output indicators | Desired Output | Gross output value of agriculture, forestry, animal husbandry, and fishery | 100 million CNY |
Undesired Output | Agricultural carbon emissions | 10,000 tons |
Elements | Indicators | Attribute | Weight (%) |
---|---|---|---|
Agriculture | Gross output value of agriculture, forestry, animal husbandry, and fishery (10,000 CNY) | + | 11.40 |
Proportion of typical counties for rural entrepreneurship and innovation (number of typical counties for rural entrepreneurship and innovation/total number of counties in the region) | + | 53.66 | |
Number of green food enterprises (number of certified green food units in the current year) | + | 17.16 | |
Forest coverage rate | + | 8.42 | |
Land productivity (gross agricultural output value/sown area of crops) | + | 9.36 | |
Tourism | Number of A-level scenic spots | + | 18.69 |
Proportion of demonstration counties for leisure agriculture (number of demonstration counties for leisure agriculture/total number of counties in the region) | + | 20.44 | |
Total tourism revenue (100 million CNY) | + | 25.60 | |
Total number of tourist arrivals (10,000 persons) | + | 18.05 | |
Number of travel agencies (units) | + | 17.22 |
Variable Type | Variable Name | Calculation Method | Data Source |
---|---|---|---|
Explained variable | Agricultural green total factor productivity (AGTFP) | Measured and evaluated using the SBM-GML index | By calculation |
Core explanatory variable | Agriculture and tourism integration (ATI) | Calculated using the coupling coordination degree model | By calculation |
Mediating variables | Agricultural industrial structure adjustment index (AISAI) | 1—(Agricultural output value/Gross output value of agriculture, forestry, animal husbandry, and fishery) | CSY |
Threshold variables | Human capital level (HCL) | Number of students enrolled in higher education institutions/total population | CSY |
Control variables | Disaster severity (DS) | Proportion of disaster-affected area in total sown area of crops | MARA, CSY |
Informatization level (IL) | Total volume of post and telecommunications business/regional gross production value | CSY | |
Trade dependence (TD) | Total import and export of agricultural products value/gross production value | MARA |
Variables | Mean | Median | Max | Min | Std. Dev | Observations |
---|---|---|---|---|---|---|
AGTFP | 1.3741 | 1.2591 | 3.1306 | 0.6494 | 0.3964 | 330 |
ATI | 0.2819 | 0.2838 | 0.4601 | 0.0665 | 0.0775 | 330 |
AISAI | 0.4776 | 0.4956 | 0.6489 | 0.0940 | 0.0912 | 330 |
DS | 0.1567 | 0.1279 | 0.6955 | 0.0021 | 0.1181 | 330 |
HCL | 0.0213 | 0.0208 | 0.0436 | 0.0085 | 0.0057 | 330 |
IL | 0.0697 | 0.0383 | 2.5129 | 0.0147 | 0.1456 | 330 |
TD | 0.0257 | 0.0129 | 0.1082 | 0.0007 | 0.0202 | 330 |
Variables | AGTFP | ATI | AISAI | DS | HCL | IL | TD | VIF |
---|---|---|---|---|---|---|---|---|
AGTFP | 1.0000 | |||||||
ATI | 0.5487 *** | 1.0000 | 1.4697 | |||||
AISAI | 0.1084 ** | 0.2391 *** | 1.0000 | 1.2969 | ||||
DS | −0.2639 *** | −0.3281 *** | −0.0914 * | 1.0000 | 1.2346 | |||
HCL | 0.4711 *** | 0.4456 *** | 0.0307 | −0.3852 *** | 1.0000 | 1.4032 | ||
IL | 0.0923 * | 0.1467 *** | −0.0827 | −0.0422 | −0.0578 | 1.0000 | 1.0758 | |
TD | −0.1940 *** | 0.2717 *** | 0.2920 *** | −0.3084 *** | 0.1610 *** | −0.0825 | 1.0000 | 1.1532 |
Explained Variable: lnAGTFP | (1) | (2) | (3) | (4) | (5) |
---|---|---|---|---|---|
ATI | 0.9232 *** (0.0330) | 0.8474 *** (0.0361) | 0.4369 *** (0.0462) | 0.5206 *** (0.0481) | 0.5009 *** (0.0476) |
DS | −0.0439 *** (0.0097) | −0.0269 *** (0.0082) | −0.0240 *** (0.0079) | −0.0225 *** (0.0078) | |
HCL | 0.8182 *** (0.0702) | 0.7507 *** (0.0693) | 0.6929 *** (0.0702) | ||
IL | −0.0403 *** (0.0086) | −0.0349 *** (0.0086) | |||
TD | −0.0863 *** (0.0254) | ||||
Constant | 1.4939 *** (0.0439) | 1.6187 *** (0.0507) | 4.1721 *** (0.2229) | 3.8821 *** (0.2242) | 3.6564 *** (0.2301) |
Province FE | YES | YES | YES | YES | YES |
Observations | 330 | 330 | 330 | 330 | 330 |
R | 0.7599 | 0.7753 | 0.8459 | 0.8565 | 0.8619 |
Baseline Model | Mediation Effect | ||
---|---|---|---|
Explained Variable: | AGTFP (5) | AISAI (6) | AGTFP (7) |
ATI | 0.5009 *** (0.0476) | 0.1577 ** (0.0665) | 0.1066 *** (0.0328) |
AISAI | 0.0713 ** (0.0336) | ||
Control variables | YES | YES | YES |
Constant | 3.6564 *** (0.2301) | −1.2334 *** (0.3642) | 0.9277 *** (0.1454) |
Province FE | YES | YES | YES |
R | 0.8619 | 0.7933 | 0.7863 |
Observations | 330 | 330 | 330 |
Mediation effect | Partial | ||
Proportion of effect | 2.24% |
Threshold Variable (q) | Threshold | F-Statistic | Critical Value | Bootstrap Repeat | ||
---|---|---|---|---|---|---|
1% | 5% | 10% | ||||
ATI | Single | 16.19 | 37.3564 | 27.3414 | 21.6812 | 500 |
Double | 21.16 ** | 22.9184 | 17.2474 | 14.4312 | 500 | |
Triple | 7.80 | 43.2602 | 23.6974 | 17.1407 | 500 | |
HCL | Single | 42.04 ** | 50.5502 | 36.4689 | 32.0932 | 500 |
Double | 19.24 | 51.5092 | 36.6339 | 30.1454 | 500 |
Threshold Variable (q) | Threshold | Estimated Threshold Value | 95% Confidence Interval |
---|---|---|---|
ATI | Single | −1.1673 | [−1.1880, −1.1672] |
Double | −0.8580 | [−0.8866, −0.8535] | |
HCL | Single | −3.8925 | [−3.8965, −3.8913] |
(8) | (9) | |
---|---|---|
Threshold Variable (q) | ||
Explained Variable: lnAGTFP | ATI | HCL |
) | 0.4875 *** (0.0739) | |
) | 0.4181 *** (0.0737) | |
) | 0.2392 * (0.1189) | |
) | 0.7783 *** (0.0955) | |
) | 0.6792 *** (0.1052) | |
Control variables | YES | YES |
Constant | 3.1795 *** (0.4001) | 1.2801 *** (0.1249) |
Province FE | YES | YES |
Observations | 330 | 330 |
R | 0.8542 | 0.8128 |
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Share and Cite
Yang, B.; Li, Y.; Wang, M.; Liu, J. Nonlinear Nexus between Agricultural Tourism Integration and Agricultural Green Total Factor Productivity in China. Agriculture 2024 , 14 , 1386. https://doi.org/10.3390/agriculture14081386
Yang B, Li Y, Wang M, Liu J. Nonlinear Nexus between Agricultural Tourism Integration and Agricultural Green Total Factor Productivity in China. Agriculture . 2024; 14(8):1386. https://doi.org/10.3390/agriculture14081386
Yang, Bing, Yansong Li, Mengjiao Wang, and Jianxu Liu. 2024. "Nonlinear Nexus between Agricultural Tourism Integration and Agricultural Green Total Factor Productivity in China" Agriculture 14, no. 8: 1386. https://doi.org/10.3390/agriculture14081386
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B.Arch Thesis: Eco-Tourist Hub of KHONOMA Village, By Shanjo A. Kithan, ITM University-Gwalior
- August 17, 2019
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Eco-tourism is one such activities which provide a solution by creating awareness and concern for the environment among both the tourist and local people of the region.
Also, the local skills could be developed and explored. The traditional and indigenous knowledge, along with scientific development can be explored.
Eco tourism Hub by itself, which talks about the tourism aspects of the context, creating a cultural Hub point which gives a platform for the villagers as well as the essence of the vernacular for the tourist.
The brief of the concept is to design an eco-tourism hub for the region of KHONOMA (Asia’s first green village) and the proximity near the region. Keeping in mind the local traditions, culture, art and Architecture .The design brief put an emphasis on the articulation of said traditions and their interpretation in modern times without losing the essence of the vernacularity.
KHONOMA is an Angami Naga village located about 20 km west from the state Capital, Kohima, Nagaland. The terrain of the village is hilly, ranging from gentle slopes to steep and rugged hillsides. The hills are covered with lush forestland, rich in various species of flora and fauna.
HORNBILL International Festival which is being celebrated for 10 days every year near this proximity which also creates a benchmark of this village.
This thesis talks about vernacular settlement which can achieve sustainability through planning, orientation, materials and architectural practices evolved from long time due to the socioeconomic, climatic and environmental factors of the Region
AIMS AND OBJECTIVES
•To create an opportunity to the local people as well as for the tourist to get the essence of the context, keeping alive the essence of the context. •To design a better vision for tomorrow by keeping the Essence of the local regional context.
•Reprioritize the usage of the site based on the needs of the site demands. •To make the space a centre of public interaction and activities that reflects the people of the region.
•To engage the people by creating a hub in the village where they can learn, educate and understand each other. •To make use of the site’s assets in terms of creating a landmark for the urban fabric of Kohima people as well.
DESIGN BRIEF + PROGRAMME
The village of Khonoma (Asia’s first green village). As being said that the context of the site is a tourist spot and as the tourism is increasing each year people from around the world are travelling to see this beautiful village and the plus point is that there are many Tourism near the village which clearly states that there is a need for Eco-Tourism Hub in this arena.
Eco tourism is one such activities which will create an activities for the region. The local People gets the opportunity to expose their skills their economy to the tourist, which can create an important part of the hub.
The site will be developed with different types of components: 1. Weekly markets for the villagers, craft shops, Exhibition shops: where the villagers can get exposed and increase their growth of the economy. The market will run only on the basis of once in a week where they can sell all their organic crops or vegetables.
2. Museum: To reflect their culture, tradition and religion also to promote their legacy.
3. Workshop activities: where the tourist can educate the villagers and spread awareness and learn from one another.
The villagers can showcase their skills and even export their talents.
4. Accommodation unit for the tourist people: A home stay feeling accommodation unit for the tourist.
5.Library: It will provide a better exposure for the young generation of the surrounding villages.
6. O.A.T: Cultural program and festival season of recreational space.
DESIGN CONCEPT /APPROACH
The main challenge of design was a Site, which is having area of 92268sq.m. and facing NORTH To EAST direction also having contour difference of 40 meter. Main approach is to analyse with the existing contour and play with the levels. The existing site having contour along the river stream and the bridge is the only approach to the site.
Considering all the challenges, the design was to make ‘imperfect’ spaces with organic dynamism like villages.
With the start of the design development every space and area of the site were divided from part to whole. where every part of the space were defined according the use of the function like the open weekly market ,food stall ,craft shop ,museum ,library, OAT, Workshop area and the Accommodation unit which were segregated from each other but it was connected according to the function and use of the space.
Every function of the spaces were connected as per the user’s inferences. The general restaurant was at the core of the main area, the open market area was segregated totally from those main activities like the library, museum, workshop area, OAT and the Museum.
Although they are two different things we sense their interrelationship and emotional bond. Something very organic yet dynamic to be expressed by the site. The environment to be very vernacular with use of the roof of MORUNG style keeping alive the essence of the Region.
The Morung (or the traditional community house) at Khonoma Village. Acting as an educational institution, A Morung is where youngsters would gain their first few lessons of cultural & traditional knowledge through folk music, dance, folk tales and oral traditions. During the time of war, they were also used as used as a guard-house.
Design used the symbolism of that area through Morung.
VERNACULAR OF THE REGION
1.Use of the materials 2.local Materials, local skills, local technique 3.Keeping alive the essence of the village. 4. Implementing new technique design in terms of architectural thoughts, spaces, functions and purpose of the area. 5. New modern technologies design without losing the essence of the region
shanjo A Kithan
- B.Arch Thesis
13 Responses
I want detail sheet on mail for reffrence
Please contact if you were able to get through.I want to refer the report for my thesis as well.
Did you got the details?
I want study report of your thesis for reference
I want to know how to contact you for more details
Hey I loved your Concept, if possible could you share your Area statement or a list of requirements? it would be of great help to my thesis tooo!!!
can i please get your thesis report for reference.
Can I get your thesis report for reference please.
can I also have your details for my thesis.thank you
Can I get your thesis report for reference please
Please share the details that would be great help for my thesis
can you please describe which all case studies you reffered for the same
I have some doubts regarding concept sheet can you please clear my doubts
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