<|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:"Unintended consequences: How does digital inclusive finance affect migrants' urban settlement intentions?."
Abstract:"Existing studies focus more on the benefits of digital inclusive finance in promoting employment, raising people's income, and boosting consumption, but have relatively ignore the widespread existence of the digital divide between urban and rural areas and among different groups in China and the unintended consequences it pro-duces. This study first adds learning costs to the traditional population migration theoretical framework, con-firming that the impact of digital inclusive finance on the urban settlement intention of the migrants has an inverted U-shape, as the level of digital inclusion financial development increases, the intentions of the migrants to settle down first rises and then falls. Empirical results support this finding. A further investigation shows that the economic dividends and learning cost associated with digital inclusive finance underpins such an inverted-U relationship. Moreover, individual endowment is an important factor affecting learning cost. The negative effect of digital inclusive finance on urban settlement intention is more obvious for rural migrants with relatively inferior endowment. Finally, we also find that education can mitigate this negative effect by reducing the related learning costs. This study provides strong evidence that in the rapid development of digital inclusive finance, migrants, especially those with insufficient endowments face greater migration costs.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Unintended consequences: How does digital inclusive finance affect migrants' urban settlement intentions?
Existing studies focus more on the benefits of digital inclusive finance in promoting employment, raising people's income, and boosting consumption, but have relatively ignore the widespread existence of the digital divide between urban and rural areas and among different groups in China and the unintended consequences it pro-duces. This study first adds learning costs to the traditional population migration theoretical framework, con-firming that the impact of digital inclusive finance on the urban settlement intention of the migrants has an inverted U-shape, as the level of digital inclusion financial development increases, the intentions of the migrants to settle down first rises and then falls. Empirical results support this finding. A further investigation shows that the economic dividends and learning cost associated with digital inclusive finance underpins such an inverted-U relationship. Moreover, individual endowment is an important factor affecting learning cost. The negative effect of digital inclusive finance on urban settlement intention is more obvious for rural migrants with relatively inferior endowment. Finally, we also find that education can mitigate this negative effect by reducing the related learning costs. This study provides strong evidence that in the rapid development of digital inclusive finance, migrants, especially those with insufficient endowments face greater migration costs.