{"title":"环境因素对确定旅游目的地的影响","authors":"Karunarathna M.M.S.A.","doi":"10.31357/fesympo.v27.6667","DOIUrl":null,"url":null,"abstract":"Tourism is a growing industry in many countries of the world and for many countries it is a potential source of economic growth and employment opportunities. Focusing on Sri Lanka in terms of tourism, tourism is the third largest foreign exchange earner in Sri Lanka. It is important to correctly identify the internal tourist destinations in Sri Lanka, as well as the environmental factors that influence those destinations' decisions, so that development projects can be made. Accordingly, through this study, the environmental factor has been studied in determining the tourist destinations. The three places chosen as the study area of this research are Sinharaja Rainforest in Kalawana Divisional Secretariat Division of Ratnapura District of Sri Lanka, Bopath Ella Waterfall located in Kuruvita Divisional Secretariat Division and Sitawaka Botanical Garden located in Seethawaka Divisional Secretariat Division of Colombo District. The judgment-based method was used to select the three tourist destinations. Also, 120 people were used as a sample for data collection. A simple random sampling method was used. Primary data and secondary data were used for this study. Participant observation, interview method and questionnaire method were used to collect primary data. IBM SPSS-26 version software was used for data analysis and a Binary Logistic model was used to identify how much influence the environmental factor has in determining tourist destinations. Accordingly, it was studied here whether the environmental factor affecting the decision of a tourist destination changes according to variables such as age, gender, marital Status, education level, occupation, income level etc. According to the results of the research, the Chi- square value is 56.435. The P value is statistically significant at the 1% level. That means the P value of the model is 0.000 (P<0.01). That means that the model is statistically significant. That is, according to the independent variables used above, it can be concluded that there is a change in the influence of the environmental factor to determine a tourist destination. In the analysis, the statistical significance of each independent variable was tested by the Wald test, which can identify the effect of each independent variable on the model. Accordingly, it was clear from this research that the variables of profession and education have a significant effect on the environmental factor that affects the decision of a tourist destination. \nKeywords: Education, Environmental factor, Profession, Tourist destinations ","PeriodicalId":205644,"journal":{"name":"Proceedings of International Forestry and Environment Symposium","volume":"32 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Environmental Factors in Determining Tourist Destinations\",\"authors\":\"Karunarathna M.M.S.A.\",\"doi\":\"10.31357/fesympo.v27.6667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tourism is a growing industry in many countries of the world and for many countries it is a potential source of economic growth and employment opportunities. Focusing on Sri Lanka in terms of tourism, tourism is the third largest foreign exchange earner in Sri Lanka. It is important to correctly identify the internal tourist destinations in Sri Lanka, as well as the environmental factors that influence those destinations' decisions, so that development projects can be made. Accordingly, through this study, the environmental factor has been studied in determining the tourist destinations. The three places chosen as the study area of this research are Sinharaja Rainforest in Kalawana Divisional Secretariat Division of Ratnapura District of Sri Lanka, Bopath Ella Waterfall located in Kuruvita Divisional Secretariat Division and Sitawaka Botanical Garden located in Seethawaka Divisional Secretariat Division of Colombo District. The judgment-based method was used to select the three tourist destinations. Also, 120 people were used as a sample for data collection. A simple random sampling method was used. Primary data and secondary data were used for this study. Participant observation, interview method and questionnaire method were used to collect primary data. IBM SPSS-26 version software was used for data analysis and a Binary Logistic model was used to identify how much influence the environmental factor has in determining tourist destinations. Accordingly, it was studied here whether the environmental factor affecting the decision of a tourist destination changes according to variables such as age, gender, marital Status, education level, occupation, income level etc. According to the results of the research, the Chi- square value is 56.435. The P value is statistically significant at the 1% level. That means the P value of the model is 0.000 (P<0.01). That means that the model is statistically significant. That is, according to the independent variables used above, it can be concluded that there is a change in the influence of the environmental factor to determine a tourist destination. In the analysis, the statistical significance of each independent variable was tested by the Wald test, which can identify the effect of each independent variable on the model. Accordingly, it was clear from this research that the variables of profession and education have a significant effect on the environmental factor that affects the decision of a tourist destination. \\nKeywords: Education, Environmental factor, Profession, Tourist destinations \",\"PeriodicalId\":205644,\"journal\":{\"name\":\"Proceedings of International Forestry and Environment Symposium\",\"volume\":\"32 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Forestry and Environment Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31357/fesympo.v27.6667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Forestry and Environment Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31357/fesympo.v27.6667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
旅游业在世界许多国家都是一个不断增长的产业,对许多国家而言,它是经济增长和就业机会的潜在来源。以斯里兰卡旅游业为例,旅游业是斯里兰卡第三大外汇收入来源。正确识别斯里兰卡国内的旅游目的地以及影响这些目的地决策的环境因素非常重要,这样才能制定开发项目。因此,本研究对决定旅游目的地的环境因素进行了研究。本研究选择了三个地方作为研究区域,分别是位于斯里兰卡 Ratnapura 区 Kalawana 省秘书处分区的 Sinharaja 雨林、位于 Kuruvita 省秘书处分区的 Bopath Ella 瀑布和位于科伦坡区 Seethawaka 省秘书处分区的 Sitawaka 植物园。在选择这三个旅游目的地时,采用了基于判断的方法。此外,还以 120 人为样本进行数据收集。采用了简单随机抽样法。本研究使用了原始数据和二手数据。收集原始数据时使用了参与观察法、访谈法和问卷调查法。数据分析使用了 IBM SPSS-26 版软件,并使用二元逻辑模型来确定环境因素在决定旅游目的地方面的影响程度。据此,研究了影响旅游目的地决策的环境因素是否会随着年龄、性别、婚姻状况、教育水平、职业、收入水平等变量的变化而变化。研究结果显示,奇平方值为 56.435。P 值在 1%的水平上具有统计意义。这意味着模型的 P 值为 0.000(P<0.01)。这意味着模型在统计上是有意义的。也就是说,根据上述使用的自变量,可以得出结论:环境因素对确定旅游目的地的影响发生了变化。在分析中,各自变量的统计显著性是通过 Wald 检验来检验的,它可以确定各自变量对模型的影响。据此,本研究明确了职业和教育变量对影响旅游目的地决策的环境因素有显著影响。 关键词教育;环境因素;职业;旅游目的地
Influence of Environmental Factors in Determining Tourist Destinations
Tourism is a growing industry in many countries of the world and for many countries it is a potential source of economic growth and employment opportunities. Focusing on Sri Lanka in terms of tourism, tourism is the third largest foreign exchange earner in Sri Lanka. It is important to correctly identify the internal tourist destinations in Sri Lanka, as well as the environmental factors that influence those destinations' decisions, so that development projects can be made. Accordingly, through this study, the environmental factor has been studied in determining the tourist destinations. The three places chosen as the study area of this research are Sinharaja Rainforest in Kalawana Divisional Secretariat Division of Ratnapura District of Sri Lanka, Bopath Ella Waterfall located in Kuruvita Divisional Secretariat Division and Sitawaka Botanical Garden located in Seethawaka Divisional Secretariat Division of Colombo District. The judgment-based method was used to select the three tourist destinations. Also, 120 people were used as a sample for data collection. A simple random sampling method was used. Primary data and secondary data were used for this study. Participant observation, interview method and questionnaire method were used to collect primary data. IBM SPSS-26 version software was used for data analysis and a Binary Logistic model was used to identify how much influence the environmental factor has in determining tourist destinations. Accordingly, it was studied here whether the environmental factor affecting the decision of a tourist destination changes according to variables such as age, gender, marital Status, education level, occupation, income level etc. According to the results of the research, the Chi- square value is 56.435. The P value is statistically significant at the 1% level. That means the P value of the model is 0.000 (P<0.01). That means that the model is statistically significant. That is, according to the independent variables used above, it can be concluded that there is a change in the influence of the environmental factor to determine a tourist destination. In the analysis, the statistical significance of each independent variable was tested by the Wald test, which can identify the effect of each independent variable on the model. Accordingly, it was clear from this research that the variables of profession and education have a significant effect on the environmental factor that affects the decision of a tourist destination.
Keywords: Education, Environmental factor, Profession, Tourist destinations