<|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:"Rural attraction: The spatial pattern and driving factors of China?s rural in-migration."
Abstract:"Human migration is a direct indicator of rural attraction. As the world's most populous nation, China is experiencing a rural population decline. The government is actively focusing on a rural revitalization strategy to make rural areas sustainable. Based on data from the sixth census in 2010, this paper applies the Moran's I method and spatial lag regression model to analyze the spatial pattern and driving factors of China's rural migration. The main conclusions are listed as follows. (1) The areas, including the Yangtze River Delta, the Pearl River Delta, and the northwestern areas, were the most attractive destinations for rural migrants. (2) The inter-provincial rural migration pattern is close to the total rural migration pattern, but is different from the intra-provincial pattern. (3) In general, job opportunities in the secondary industry, rural income, rural investment, and the local economic levels were all main drivers for rural migration. The driving mechanisms varied in the eastern, central, and western provinces. To support China's efforts in rural revitalization, regionally different policies, urban-rural integration, and new economic factors are suggested and highlighted from the perspective of rural migration.."
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 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Rural attraction: The spatial pattern and driving factors of China?s rural in-migration
Human migration is a direct indicator of rural attraction. As the world's most populous nation, China is experiencing a rural population decline. The government is actively focusing on a rural revitalization strategy to make rural areas sustainable. Based on data from the sixth census in 2010, this paper applies the Moran's I method and spatial lag regression model to analyze the spatial pattern and driving factors of China's rural migration. The main conclusions are listed as follows. (1) The areas, including the Yangtze River Delta, the Pearl River Delta, and the northwestern areas, were the most attractive destinations for rural migrants. (2) The inter-provincial rural migration pattern is close to the total rural migration pattern, but is different from the intra-provincial pattern. (3) In general, job opportunities in the secondary industry, rural income, rural investment, and the local economic levels were all main drivers for rural migration. The driving mechanisms varied in the eastern, central, and western provinces. To support China's efforts in rural revitalization, regionally different policies, urban-rural integration, and new economic factors are suggested and highlighted from the perspective of rural migration.