<|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:"Regional suitability for settling rural migrants in urban China."
Abstract:"Despite rapid urbanization, more than 200 million people living in urban areas are still registered as 'agricultural' and are ineligible for most social benefits under China's Hukou (or household registration) system. This paper identifies the regional suitability for settling rural migrants in urban China based on three indicators (the degree of urgency, the skills and ability of the resettled community to adapt, and the ability of the government to support that resettlement). It takes 2008 government socioeconomic data from a county level into consideration. Spatial, statistical, and decision tree analyses, supported by SPSS, Geodata, and ArcGIS software, show that there are five separate population types, each with different degrees of suitability. These include highly suitable region, region suitable for settling migrants to outside regions, region suitable for settling migrants from outside regions, region with moderate potential, and unsuitable region. This paper suggests that regional policies for settling rural migrants are meaningful, since the five regions are distributed relatively separately. Due to the suitability for different bodies across regions, equal treatment should be applied to both the native migrants and that across counties and provinces. Furthermore, demolishment of the social welfare discrimination adhered to Hukou system and equalization of basic public services will be of more practical significance than the so-called, settling rural migrants actively and steadily.."
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 = [3,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Regional suitability for settling rural migrants in urban China
Despite rapid urbanization, more than 200 million people living in urban areas are still registered as 'agricultural' and are ineligible for most social benefits under China's Hukou (or household registration) system. This paper identifies the regional suitability for settling rural migrants in urban China based on three indicators (the degree of urgency, the skills and ability of the resettled community to adapt, and the ability of the government to support that resettlement). It takes 2008 government socioeconomic data from a county level into consideration. Spatial, statistical, and decision tree analyses, supported by SPSS, Geodata, and ArcGIS software, show that there are five separate population types, each with different degrees of suitability. These include highly suitable region, region suitable for settling migrants to outside regions, region suitable for settling migrants from outside regions, region with moderate potential, and unsuitable region. This paper suggests that regional policies for settling rural migrants are meaningful, since the five regions are distributed relatively separately. Due to the suitability for different bodies across regions, equal treatment should be applied to both the native migrants and that across counties and provinces. Furthermore, demolishment of the social welfare discrimination adhered to Hukou system and equalization of basic public services will be of more practical significance than the so-called, settling rural migrants actively and steadily.