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The purpose of this paper is to discuss the chemical characterization of failures and process materials for microelectronics assembly.

The analytical techniques used for chemical structures and compositions including Fourier transform infrared spectrometer (FTIR), scanning electron microscopy, and energy‐dispersive X‐ray spectroscopy are conducted.

The residues on the golden finger are identified to be the flux used in the assembly processes. Besides, the contaminants on the processed and incoming connector pins are verified to be polyamides (–CONH functional groups) from housing material's residue. Three liquid fluxes used in wave soldering are analyzed by their chemical structure. One flux showing the OH groups at 3430 cm⁻¹ indicates higher acid contents. This consists with the acidic values specified by the supplier. Also, the solder mask under study has ever appeared peeled‐off issue. The FTIR spectra results indicated 62.2 percent degree of curing while vendor's spec is above 70 percent.

The establishment of the Infrared spectra database for fluxes and process materials help determine the root cause of the contaminants to reduce re‐occurrence of similar problems and thus enhance the manufacturing capability. The infrared spectrophotometry technique can be used by professional original design manufacturing and/or electronics manufacturing service, providers to investigate board/component defects during product pilot run stage and volume production.

A commitment to social responsibility is indispensable to the sustainable development of a firm, and corporate social responsibility (CSR) has become a key corporate evaluation indicator. CSR's economic consequences have long been a hot topic in academic research. The authors analyze the relationship between CSR and corporate capital structure and also investigate channels through which such links are transmitted.

Using CSR score (CSRS) data published by China's Hexun (hexun.com) from 2010 to 2018, the authors control some influencing variables of the nature and characteristics of enterprises and discover that CSR can effectively improve firm leverage using ordinary least square regression. In addition, the research results remain robust for other CSR proxies, different dimensions of CSR, alternative measures of leverage and endogenous testing.

The authors discover that CSR can significantly reduce firm leverage. In addition, the research results confirm that investor attention and liquidity are the main channels by which CSR effectively reduces leverage, and other influence channels are worthy of further exploration. After examining the substitution variables and endogenous characteristics of CSR, the results remain robust.

Regarding decision-making and governance within companies, the authors conclude that CSR reports not only announce the status of CSR activities to corporate stakeholders but also reveal information on corporate financial decisions. Considering the widespread agency problems in companies, management may take advantage of investor understanding of CSR reports and conceal real information or disclose false information. They distort investors' understanding of the financial policies of financial reports to achieve their self-interests. Hence, companies must reinforce their governance and construct comprehensive monitoring mechanisms for CSR disclosure to protect their investors, establish a strong corporate reputation and facilitate long-term development.

Non-financial information disclosure may reflect the quality of corporate financial reports or disclosure policy choices. The authors examine the relationship between corporate social responsibility (CSR) and accounting conservatism and also investigate channels through which such effects are transmitted. The purpose of this paper is to explore how CSR, as non-financial information that has received widespread attention, affects choices regarding corporate financial policy.

Using ordinary least squares regression, the authors analyze China CSR Score data for 2010–2018. They control certain influencing variables related to the nature and characteristics of enterprises and discover that CSR can effectively increase accounting conservatism. Then, they extract the components of market reactions to CSR and study the market reaction path of CSR as it affects financial policy. They also conduct a robustness test to ensure that the results are not accidental in a complex environment.

The results reveal the influence of non-financial information on firms’ financial policy. In addition, the results confirm the attraction of liquidity and investor attention as the major market reaction channels by which CSR significantly promotes accounting conservatism. Additionally, other critical paths of influence deserve further exploration. The results remain robust for alternate measures of accounting conservatism, different components of CSR, other proxies on CSR, endogenous testing and alternate estimation methods.

The study represents the first analysis of the influence of CSR information disclosure on accounting conservatism in emerging markets, and it undertakes a preliminary exploration to clarify the mechanism of CSRs’ role in accounting conservatism. The results also provide a policy reference for external supervision and internal governance of enterprises. Thus, the results can help company managers maintain a favorable corporate image and establish a high-level investor protection mechanism.

To verify the effectiveness of the monetary policy, the impacts of monetary instruments on overnight spread under the interest rate corridor (IRC) are examined. The People's Bank of China (PBC) has operated the IRC since 2014. To understand the impacts of monetary instruments on overnight spread before and after the IRC framework, the complete samples are divided into two periods.

To model the overnight spread, an exponential GARCH (EGARCH) approach is used which can examine the interbank market interest rates for monetary policy purposes. The overnight money market plays an important role in the implementation of monetary policy.

Chinese interest rate liberalization and the implementation of IRC affect the overnight spread in the short-term financing market. Before the implementation of the IRC, the key factor to affect the overnight spread is mainly affected by the PBC's monetary policy control on the liquidity supply side. After the implementation of IRC, the overnight spread can be the largest part explained by the liquidity demand side and the PBC's multiple monetary instruments have significant impacts on the reduction of overnight spread.

The overnight spread has recently been influenced by various factors that are directly or closely related to the monetary policy instruments and the interest rate policy of the PBC. Chinese interest rate liberalization and the implementation of interest rate corridor policy affect the overnight spread in the short-term financing market.

The connection between digital manufacturing technologies (Industry 4.0) and the environment has sparked discussions on firms' disclosure of negative information on pollutant emissions and the pursuit of positive environmental outcomes. However, very few studies explore how it relates to a firm's robot usage and its mechanism. The purpose of this paper is to investigate the impacts of robot penetration on firms' environmental governance in China.

The ordered probit model (and probit model) are employed and empirically tested with a sample of 1,579 Chinese listed firms from 2010 to 2019.

The study reveals a negative relationship between robot usage and the disclosure of negative indicators and a U-shaped relationship between robot usage and positive environmental outcomes. Among the sample, nonstate-owned enterprises (SOEs) display unsatisfactory performance, while heavily polluting industries disclose more information on pollutant emissions. The robot–environmental governance nexus is conditional on firm size, capital intensity and local economic development.

The study proposes a fresh view of corporate environmental governance to assess the environmental implications of robot adoption. It also contributes to identifying the curvilinear, moderating and heterogenous effects in the robot–environment nexus. The results provide rich policy implications for the development of industrial intelligence and corporate environmental governance in the circular economy (CE) context.