@article{ba_galik_2023, title={Historical industrial transitions influence local sustainability planning, capability, and performance}, volume={46}, ISSN={2210-4224}, url={http://dx.doi.org/10.1016/j.eist.2022.100690}, DOI={10.1016/j.eist.2022.100690}, abstractNote={We evaluate the influence of long-term industrial transitions on local sustainability action. We construct two aspects of historical industrial transitions—direction and magnitude—along with three aspects of local government sustainability action: planning, capabilities, and performance. Using a national survey of local sustainability practice and nearly five decades of historical manufacturing employment data in the U.S., we find local communities with more substantial swings in manufacturing jobs to be less likely to engage in sustainability planning, cultivate sustainability-related capabilities, and make progress towards meeting sustainability-related objectives, underscoring the potential challenges associated with top-down programs and the importance of decentralized solutions.}, journal={Environmental Innovation and Societal Transitions}, publisher={Elsevier BV}, author={Ba, Yuhao and Galik, Christopher S.}, year={2023}, month={Mar}, pages={100690} } @article{guo_ba_2022, title={Ambiguity and conflict in pension policies implementation: evidence from China}, volume={7}, ISSN={["2381-2354"]}, DOI={10.1080/23812346.2020.1809312}, abstractNote={Abstract While the literature generally acknowledges that target groups affect policy implementation, we argue that a more detailed investigation of the mechanisms and factors associated with such effect is necessary. Drawing on the Ambiguity-Conflict Model, we explore how target groups’ perceived policy ambiguity and conflict relate to the implementation of Corporate Employee Pension (CEP) policies in China. Empirically, we utilize a unique sample of all firms listed on China’s A-stock market from 2008 to 2014 and hypothesize that target groups’ perceived policy ambiguity and conflict negatively associate with the implementation outcomes of the CEP policies in China. Our results confirm such a relationship and suggest that the implementation outcomes, from most favorable to least favorable, follow the order: Administrative Implementation, Political Implementation or Experimental Implementation, and Symbolic Implementation. Such results are robust to both state-owned and non-state-owned enterprises. Our research offers implications for both scholars and practitioners of pension policies in China.}, number={2}, journal={JOURNAL OF CHINESE GOVERNANCE}, author={Guo, Lei and Ba, Yuhao}, year={2022}, month={Apr}, pages={320–339} } @article{coupet_ba_2022, title={Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis}, volume={47}, ISSN={["1573-7047"]}, url={https://doi.org/10.1007/s10961-021-09856-3}, DOI={10.1007/s10961-021-09856-3}, number={2}, journal={JOURNAL OF TECHNOLOGY TRANSFER}, author={Coupet, Jason and Ba, Yuhao}, year={2022}, month={Apr}, pages={605–620} } @article{ba_2021, title={Corporate-Led Environmental Governance: A Theoretical Model}, volume={53}, ISSN={["1552-3039"]}, DOI={10.1177/0095399720918512}, abstractNote={The growing reliance on non-state environmental governance (EG) coupled with the current U.S. political environment portends an increasing salience of governing efforts from non-state actors. Among non-state actors, corporations play a substantial role given their market and societal power, their corresponding social responsibilities, and their organizational and institutional adaptability in developing and performing EG solutions. This article proposes a corporate-led environmental governance (CLEG) model. An important distinction between previous iterations of corporate social responsibility (CSR) and corporate governance and the CLEG model proposed here is the active assertion of corporate environmental leadership as state leadership is subject to retrenchment in the United States.}, number={1}, journal={ADMINISTRATION & SOCIETY}, author={Ba, Yuhao}, year={2021}, month={Jan}, pages={97–122} } @article{ba_berrett_coupet_2021, title={Panel Data Analysis: A Guide for Nonprofit Studies}, ISSN={["1573-7888"]}, DOI={10.1007/s11266-021-00342-w}, journal={VOLUNTAS}, author={Ba, Yuhao and Berrett, Jessica and Coupet, Jason}, year={2021}, month={Mar} } @article{guo_ba_2020, title={Adopt or Not and Innovation Variation: A Dynamic Comparison Study of Policy Innovation and Diffusion Mechanisms}, volume={22}, ISSN={["1572-5448"]}, DOI={10.1080/13876988.2019.1603603}, abstractNote={Abstract Policy innovation and diffusion literature mainly focuses on the decision to adopt a new policy, while ignoring the differences among new policies. This study divides the decision-making process of policy innovation diffusion into two phases: in the “innovate or not” phase, governments make the decision to adopt or reject the new policy, while “how to innovate” is the process by which governments formulate specific content for the new policy. A dynamic comparative analysis finds that effects of internal determinants and diffusion mechanisms vary during these two phases and that internal determinants moderate the effects of diffusion mechanisms.}, number={4}, journal={JOURNAL OF COMPARATIVE POLICY ANALYSIS}, author={Guo, Lei and Ba, Yuhao}, year={2020}, month={Jul}, pages={298–319} } @article{ba_galik_2019, title={Polycentric Systems and Multiscale Climate Change Mitigation and Adaptation in the Built Environment Palabras clave}, volume={36}, ISSN={["1541-1338"]}, DOI={10.1111/ropr.12342}, abstractNote={Abstract}, number={4}, journal={REVIEW OF POLICY RESEARCH}, author={Ba, Yuhao and Galik, Christopher}, year={2019}, month={Jul}, pages={473–496} }