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Purpose: The relationship between industrial policy and exploratory innovation is imperfect. Design/methodology/approach: The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action. Findings: First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms' innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms' innovation. Originality/value: This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms. [ABSTRACT FROM AUTHOR]

Subjective well-being is a metric for assessing the effectiveness of public policy. However, the relationship between depression, an important indicator of subjective well-being, and access to clean water (ACW) has received scant attention. This study investigates the effect of ACW on depression using the 2014-2018 waves of the China Family Panel Studies (CFPS). Using ordinary least squares (OLS) two-way fixed effects (FE) estimation, the results indicate that ACW leads to lower levels of depression. The ACW-depression relationship is mediated by individual self-reported health and household food expenditure, but the mechanism varies across subsamples, as determined by structural equation modelling of the underlying mechanisms. The results of the heterogeneity analysis demonstrated that the total effect of the absence of ACWon depression is mitigated when rural migrants reside in cities, and that the effect disappears entirely when the migrant has an urban hukou. These findings demonstrate the negative impact of urban-rural disparities and hukou issues on mental health. [ABSTRACT FROM AUTHOR]

This paper is the second part of a variational modeling work on the dynamic magneto-mechanical response of magnetic shape memory alloys (MSMA). In the first part of this series work, the governing equations system for modeling the dynamic response of MSMA samples has been derived based on Hamilton's principle, which contains the Maxwell's equations, the magneto-mechanic equations, the evolution equations of internal variables and the twin interface motion criteria. In this paper, we aim to conduct comprehensive numerical simulations on the dynamic magneto-mechanical response of MSMA samples. To solve the governing system, the space–time finite element method is applied and a double-loop iterative numerical algorithm is proposed. By using this algorithm, the independent variables in the governing system and the motion of twin interfaces in the MSMA sample can be determined separately and iteratively. Besides that, a specific discretization of the sample is adopted to simplify the calculation of variant state distribution in the sample. To show the efficiency of the numerical algorithm, the magneto-mechanical response of a MSMA sample in stress-assisted dynamic field loading tests and field-assisted dynamic mechanical loading tests are studied. Based on the numerical results, some global response curves of the MSMA sample are plotted, which show good consistency with the experimental results. Furthermore, the current configuration of the sample and the distributions of some important physical fields in the sample can be simulated. The current work will be helpful for the design of novel actuators or energy harvesters with MSMA. • The high-frequency dynamic magneto-mechanical response of MSMA is studied. • An efficient numerical algorithm is proposed to solve the governing equation system. • The dynamic response of the MSMA sample can be predicted at a quantitative level. • The distributions of some important physical fields in the MSMA sample are simulated. • The underlying mechanisms responsible for some key experimental features are analyzed. [ABSTRACT FROM AUTHOR]