<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull mooring framework."
Abstract:"This study employs push-pull-mooring (PPM) framework originated from human migration literature as the theoretical paradigm to explore the key factors influencing users' switching intention in the context of mobile instant messaging (MIM) applications. The research model was tested with 240 valid responses among Chinese MIM users. The results show that fatigue with incumbent MIM and subjective norm have significant positive effects on switching intention, while inertia negatively affects switching intention. In addition, affective commitment, switching costs and habit are found to be significant to inertia. This study sheds light on the switching behavior of MIM users, and helps explain the key determinants of switching intention of MIM users. The findings also help practitioners make appropriate strategies for maintaining current users as well as attracting new users. (C) 2017 Elsevier Ltd. All rights reserved.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull mooring framework
This study employs push-pull-mooring (PPM) framework originated from human migration literature as the theoretical paradigm to explore the key factors influencing users' switching intention in the context of mobile instant messaging (MIM) applications. The research model was tested with 240 valid responses among Chinese MIM users. The results show that fatigue with incumbent MIM and subjective norm have significant positive effects on switching intention, while inertia negatively affects switching intention. In addition, affective commitment, switching costs and habit are found to be significant to inertia. This study sheds light on the switching behavior of MIM users, and helps explain the key determinants of switching intention of MIM users. The findings also help practitioners make appropriate strategies for maintaining current users as well as attracting new users. (C) 2017 Elsevier Ltd. All rights reserved.