<|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:"Do domestic immigrants live longer? An approach for estimating the life expectancy of small populations."
Abstract:"Ageing is a major demographic issue for the world of the 21st century and is caused by substantial declines in fertility and mortality rates. Without international migration, most developed countries would not be able to balance the resulting losses of population and work force. The proportion of elderly (aged 65 and over) in Taiwan reached the threshold of 7%, indicating an ageing society, in 1993, and has been increasing dramatically since then. The county-level populations in Taiwan are also ageing rapidly, but the local changes vary widely because domestic migration rates of each county are different. Urbanization is becoming more obvious, with people tending to move to large cities and counties with better social welfare programs. As a result, domestic migration plays an important role in population ageing at the county level, and the people in counties with larger numbers of domestic immigrants are expected to have a longer life expectancy. However, the life expectancies of people in these counties do not bear out this trend. In the present study, based on domestic migration records from the Department of the Interior of Taiwan, we applied graduation methods and small-area estimation skills to construct county-level life tables, and evaluate whether domestic immigrants have lower mortality rates than those who do not migrate. We found that the domestic immigrants of Kinmen County have significantly lower mortality rates, but those of Hsinchu County do not.."
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].
Do domestic immigrants live longer? An approach for estimating the life expectancy of small populations
Ageing is a major demographic issue for the world of the 21st century and is caused by substantial declines in fertility and mortality rates. Without international migration, most developed countries would not be able to balance the resulting losses of population and work force. The proportion of elderly (aged 65 and over) in Taiwan reached the threshold of 7%, indicating an ageing society, in 1993, and has been increasing dramatically since then. The county-level populations in Taiwan are also ageing rapidly, but the local changes vary widely because domestic migration rates of each county are different. Urbanization is becoming more obvious, with people tending to move to large cities and counties with better social welfare programs. As a result, domestic migration plays an important role in population ageing at the county level, and the people in counties with larger numbers of domestic immigrants are expected to have a longer life expectancy. However, the life expectancies of people in these counties do not bear out this trend. In the present study, based on domestic migration records from the Department of the Interior of Taiwan, we applied graduation methods and small-area estimation skills to construct county-level life tables, and evaluate whether domestic immigrants have lower mortality rates than those who do not migrate. We found that the domestic immigrants of Kinmen County have significantly lower mortality rates, but those of Hsinchu County do not.