<|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:"Environmental inequality in Austria: do inhabitants' socioeconomic characteristics differ depending on their proximity to industrial polluters?."
Abstract:"This is the first study to examine the existence of environmental inequality related to industrial facilities in Austria. Using distance-based methods, socioeconomic characteristics of inhabitants living in 1.0 km buffer zones around the 247 polluters registered in the European Pollutant Release and Transfer Registry are compared with those of inhabitants living elsewhere in Austria. While in Vienna no clear signs of environmental inequality can be found, in the rest of Austria people living in close vicinity to industrial sites are more often unemployed, have lower education levels and most notably, are twice as likely to be immigrants. Moreover, a logistic regression shows that the disparities concerning immigrants cannot solely be explained by other socioeconomic characteristics. The results of this study add to the evidentiary base concerning environmental justice disparities in Europe and suggests how application of distance-based methods can facilitate cross-national comparisons.."
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 = [2,3,7];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1].
Environmental inequality in Austria: do inhabitants' socioeconomic characteristics differ depending on their proximity to industrial polluters?
This is the first study to examine the existence of environmental inequality related to industrial facilities in Austria. Using distance-based methods, socioeconomic characteristics of inhabitants living in 1.0 km buffer zones around the 247 polluters registered in the European Pollutant Release and Transfer Registry are compared with those of inhabitants living elsewhere in Austria. While in Vienna no clear signs of environmental inequality can be found, in the rest of Austria people living in close vicinity to industrial sites are more often unemployed, have lower education levels and most notably, are twice as likely to be immigrants. Moreover, a logistic regression shows that the disparities concerning immigrants cannot solely be explained by other socioeconomic characteristics. The results of this study add to the evidentiary base concerning environmental justice disparities in Europe and suggests how application of distance-based methods can facilitate cross-national comparisons.