Impact of mobile payment adoption on household expenditures and subjective well‐being

This paper estimates the effects of mobile payment adoption on household expenditures and people's subjective well‐being. We consider four categories of household expenditures (that on clothes, durable goods, consumer goods, and cultural and leisure activities) and four indicators (life satisfaction, contentment, income satisfaction, and depression) of subjective well‐being. We use the Augmented Inverse Probability Weighting estimator to analyze the 2017 Chinese General Social Survey data while accounting for the selection bias inherent in mobile payment adoption. The empirical results show that people's decisions to adopt mobile payment are positively associated with their educational levels, car ownership, social interaction, internet penetration rate, and residential location. Mobile payment adoption significantly increases household expenditures on consumer goods and cultural and leisure activities but not on expenditures on clothes and durable goods. Moreover, mobile payment adoption significantly decreases people's contentment while increasing depression. We also find that mobile payment adoption significantly decreases the contentment of urban people but significantly increases the depression of rural people.

[1]  K. Sharma,et al.  The diffusion of mobile payments: Profiling the adopters and non-adopters, Roger's way , 2023, Journal of Retailing and Consumer Services.

[2]  Wanglin Ma,et al.  Small Acts With Big Impacts: Does Garbage Classification Improve Subjective Well-Being in Rural China? , 2023, Applied Research in Quality of Life.

[3]  Rodolfo M. Nayga,et al.  Policy reform and farmers' coping strategies: The case of corn price shocks in Heilongjiang Province of China , 2023, Review of Development Economics.

[4]  Hongyun Zheng,et al.  Smartphone use, off‐farm employment, and women's decision‐making power: Evidence from rural China , 2022, Review of Development Economics.

[5]  Wanglin Ma,et al.  Does mobile payment adoption affect the level and inequality of food expenditure? , 2022, The Social Science Journal.

[6]  K. Song,et al.  The adoption and use of mobile payment: Determinants and relationship with bank access , 2022, China Economic Review.

[7]  L. Camfield,et al.  Don’t Look Up! Individual Income Comparisons and Subjective Well-Being of Students in Thailand , 2022, Journal of Happiness Studies.

[8]  T. Vo,et al.  Can microcredit reduce vulnerability to poverty? Evidence from rural Vietnam , 2022, Review of Development Economics.

[9]  Wanglin Ma,et al.  Learning to eat from others: Does nutritional information acquired from peers affect nutrition intake? , 2022, Journal of Rural Studies.

[10]  Puneet Vatsa,et al.  Internet use and consumption diversity: Evidence from rural China , 2022, Review of Development Economics.

[11]  K. Becker,et al.  Race‐based affirmative action for higher education in Brazil: Impact assessment on performance, time, and delay in completion* , 2022, Review of Development Economics.

[12]  J. Li,et al.  Has the Targeted Poverty Alleviation program improved household welfare in rural China? , 2022, Journal of Policy Modeling.

[13]  J. Murmann,et al.  The Rise of China's Digital Economy: An Overview , 2022, Management and Organization Review.

[14]  Manaf Al-Okaily,et al.  Mobile payment adoption in the time of the COVID-19 pandemic , 2022, Electron. Commer. Res..

[15]  Wanglin Ma,et al.  Cooking fuel choices and subjective well-being in rural China: Implications for a complete energy transition , 2022, Energy Policy.

[16]  Lele Zhao,et al.  Mobile payment adoption and the decline in China’s household savings rate , 2022, Empirical Economics.

[17]  Wanglin Ma,et al.  Scan the QR Code of Happiness: Can Mobile Payment Adoption Make People Happier? , 2022, Applied Research in Quality of Life.

[18]  Yaqian Wu,et al.  Mobile payment and Chinese rural household consumption , 2021, China Economic Review.

[19]  Jiaping Zhang,et al.  Mobile payment and rural household consumption: Evidence from China , 2021, Telecommunications Policy.

[20]  Tejaswini C. Herath,et al.  Why do people use mobile payment technologies and why would they continue? An examination and implications from India , 2021, Research Policy.

[21]  Z. Ugur.  How does Inequality Hamper Subjective Well-being? The Role of Fairness , 2021, Social Indicators Research.

[22]  Wanglin Ma,et al.  Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator , 2021, Electronic Commerce Research.

[23]  Wanglin Ma,et al.  Click it and buy happiness: does online shopping improve subjective well-being of rural residents in China? , 2021 .

[24]  Ivan T. Kandilov,et al.  Does Mobile Internet Use Affect the Subjective Well-being of Older Chinese Adults? An Instrumental Variable Quantile Analysis , 2021, Journal of Happiness Studies.

[25]  Qianyu Zhu,et al.  Adoption of mobile banking in rural China: Impact of information dissemination channel , 2021 .

[26]  Yu-Hsin Huang,et al.  Young Generation's Mobile Payment Adoption Behavior: Analysis Based on an Extended UTAUT Model , 2021, J. Theor. Appl. Electron. Commer. Res..

[27]  Xun Wang,et al.  Mobile Payment in China: Practice and Its Effects* , 2020, Asian Economic Papers.

[28]  Fan Li,et al.  What determines online transaction price dispersion? Evidence from the largest online platform in China , 2020, Electron. Commer. Res. Appl..

[29]  K. Moorthy,et al.  What drives the adoption of mobile payment? A Malaysian perspective , 2020, International Journal of Finance & Economics.

[30]  Wanglin Ma,et al.  The Relationship Between Happiness and Consumption Expenditure: Evidence from Rural China , 2020 .

[31]  O. Vestad,et al.  What can we learn about household consumption expenditure from data on income and assets? , 2020 .

[32]  Syed Abidur Rahman,et al.  Do mobile financial services ensure the subjective well-being of micro-entrepreneurs? An investigation applying UTAUT2 model , 2020, Inf. Technol. Dev..

[33]  A. Sousa-Poza,et al.  The relationship between smartphone use and subjective well-being in rural China , 2020, Electronic Commerce Research.

[34]  Cuihong Long,et al.  The Impact of Internet Use on Residents’ Subjective Well-Being: An Empirical Analysis Based on National Data , 2019, Social Sciences in China.

[35]  Jonathan Rodden,et al.  It Takes a Village: Peer Effects and Externalities in Technology Adoption , 2019, American Journal of Political Science.

[36]  Mònica Guillen-Royo.  Sustainable consumption and wellbeing: Does on-line shopping matter? , 2019, Journal of Cleaner Production.

[37]  C. Gardebroek,et al.  Impact of Improved Maize Varieties on Food Security in Eastern Zambia: A Doubly Robust Analysis , 2018, Review of Development Economics.

[38]  Paul Attewell,et al.  The earnings payoff from attending a selective college. , 2017, Social science research.

[39]  Ikram Dastan,et al.  Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis , 2016 .

[40]  Stephen Kinsella,et al.  Peer Effects in the Diffusion of Innovations: Theory and Simulation , 2015 .

[41]  Adam Glynn,et al.  An Introduction to the Augmented Inverse Propensity Weighted Estimator , 2010, Political Analysis.

[42]  Marco Caliendo,et al.  Some Practical Guidance for the Implementation of Propensity Score Matching , 2005, SSRN Electronic Journal.

[43]  Michael Lokshin,et al.  Maximum Likelihood Estimation of Endogenous Switching Regression Models , 2004 .

[44]  M. Salam,et al.  Impact of hybrid variety adoption on the performance of rice farms in Bangladesh: A propensity score matching approach , 2023, World Development Sustainability.