<|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:"Stay or leave: How migrants respond to dispersal policies in Beijing."
Abstract:"Rapid population influx has caused various urban problems in megacities of the global South, which has encouraged some governments to take measures for controlling population growth. As one of the most populous cities and the capital of China, Beijing has recently proposed a series of policy instruments to disperse migrants and prevent population congestion. This study examines the effectiveness of these dispersal policies by answering two specific questions: who left Beijing as a response to what policies, and how policy effects interact with personal willingness. A national survey in 2017 and its follow-up in 2018 are used for empirical analysis. Results indicate that compared with educational and housing policies, industrial relocation guidelines have more direct effects on impelling migrants to leave Beijing. Those employed in sectors deviating from core functions of the capital are particularly vulnerable to policy shocks. Moreover, a substantial mismatch is observed between the intention and action of migrants to stay in the city, indicating a degree of forced migration in the policy implementation that the policymakers not originally intended. This mismatch and its potential damage to free migration call for more people-oriented and provulnerable approaches in future urban governance in China and other rapidly urbanizing societies.."
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 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Stay or leave: How migrants respond to dispersal policies in Beijing
Rapid population influx has caused various urban problems in megacities of the global South, which has encouraged some governments to take measures for controlling population growth. As one of the most populous cities and the capital of China, Beijing has recently proposed a series of policy instruments to disperse migrants and prevent population congestion. This study examines the effectiveness of these dispersal policies by answering two specific questions: who left Beijing as a response to what policies, and how policy effects interact with personal willingness. A national survey in 2017 and its follow-up in 2018 are used for empirical analysis. Results indicate that compared with educational and housing policies, industrial relocation guidelines have more direct effects on impelling migrants to leave Beijing. Those employed in sectors deviating from core functions of the capital are particularly vulnerable to policy shocks. Moreover, a substantial mismatch is observed between the intention and action of migrants to stay in the city, indicating a degree of forced migration in the policy implementation that the policymakers not originally intended. This mismatch and its potential damage to free migration call for more people-oriented and provulnerable approaches in future urban governance in China and other rapidly urbanizing societies.