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The article aims to establish whether the degree of aversion to inflation and the responsiveness to deviations from potential output have changed over time.

This paper assesses time variation in monetary policy rules by applying a time-varying parameter generalised methods of moments (TVP-GMM) framework.

Using monthly data until December 2022 for five inflation targeting countries (the UK, Canada, Australia, New Zealand, Sweden) and five countries with alternative monetary regimes (the US, Japan, Denmark, the Euro Area, Switzerland), we find that monetary policy has become more averse to inflation and more responsive to the output gap in both sets of countries over time. In particular, there has been a clear shift in inflation targeting countries towards a more hawkish stance on inflation since the adoption of this regime and a greater response to both inflation and the output gap in most countries after the global financial crisis, which indicates a stronger reliance on monetary rules to stabilise the economy in recent years. It also appears that inflation targeting countries pay greater attention to the exchange rate pass-through channel when setting interest rates. Finally, monetary surprises do not seem to be an important determinant of the evolution over time of the Taylor rule parameters, which suggests a high degree of monetary policy transparency in the countries under examination.

It provides new evidence on changes over time in monetary policy rules.

The purpose of the paper is to propose an efficient, simple and concise unified robot calibration method that simultaneously considers errors in hand-eye parameters, kinematic parameters and tool center point (TCP) position.

This paper proposes a unified robot calibration method. First, the initial hand-eye matrix and TCP position are computed without considering kinematic parameter errors. Second, the nominal TCP positions in the laser tracker coordinate system {S} are computed. The actual TCP positions in {S} are directly measured. Third, a unified parameter error calibration model is established, and the sequential quadratic programming algorithm is used for error identification. Finally, the identified errors are used for direct error compensation.

Simulation results prove that the proposed scheme can accurately calibrate the hand-eye parameters, kinematic parameters and TCP position simultaneously. Experimental results reveal that the maximum value of the absolute positioning errors is reduced from 5.4725 mm to 0.4095 mm (reduced by 92.52%). Thus, the proposed approach meets the accuracy requirements of most robotic applications.

The main contributions of this paper are: (1) this scheme is efficient. The method can achieve fully automatic calibration by incorporating Kronecker products for the initial hand-eye matrix and TCP position computation. Thereby significantly improving the calibration efficiency and liberating the labor force. (2) This scheme is simple and concise. The hand-eye parameters, kinematic parameters and TCP position errors are modeled in a unified framework. Furthermore, the related redundant parameters are deleted.

The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

This study aims to address the challenge of the real-time state of charge (SOC) estimation for lithium-ion batteries in robotic systems, which is critical for monitoring remaining battery power, planning task execution, conserving energy and extending battery lifespan.

The authors introduced an optimal observer based on adaptive dynamic programming for online SOC estimation, leveraging a second-order resistor–capacitor model for the battery. The model parameters were determined by fitting an exponential function to the voltage response from pulse current discharges, and the observer's effectiveness was verified through extensive experimentation.

The proposed optimal observer demonstrated significant improvements in SOC estimation accuracy, robustness and real-time performance, outperforming traditional methods by minimizing estimation errors and eliminating the need for iterative steps in the adaptive critic and actor updates.

This study contributes a novel approach to SOC estimation using an optimal observer that optimizes the observer design by minimizing estimation errors. This method enhances the robustness of SOC estimation against observation errors and uncertainties in battery behavior, representing a significant advancement in battery management technology for robotic applications.

This paper seeks to investigate the amplitude of macro-financial linkage for an emerging country like Morocco.

For this purpose, it presents a semi-structural new-Keynesian model. In the blocks of the former, a risk premium is charged on the lending rate in addition to the policy rate. To identify the macro-financial linkage, the risk premium is considered endogenous. It is represented as a function of the borrower’s probability of default, which is, in turn, a function of the GDP gap. To identify this two-wave relationship, we estimate an ARDL model between 2009Q1 and 2020Q1. Therefore, we integrate the estimation results into the new-Keynesian semi-structural model.

The results reveal a significant impact of the financial condition on the path of the business cycle. In fact, demand shocks and nonperforming loan shocks (NPLs) are exacerbated by the presence of macro-financial linkage. Under this condition, the amplitude and persistence of the shocks are amplified and extended.

This paper extends the literature on the interconnection between the real and financial economies by considering the endogeneity of the credit risk premium and modeling its dynamics.

The factors involved in and obstacles to sharing economy adoption have been studied with several methods, and several models have occurred to clarify the underlying procedure of sharing economy (SE) adoption, which provide contradictory and scattered findings. This chapter seeks to offer a scientific outline of the academic structure of the SE adoption domain.

This paper aims to investigate the stationary properties of entrepreneurship capital in the Iranian business sector. The investigation is conducted based on firm size (micro, small and medium, and large), sector (ISIC classification), and location (23 provinces) over the period 1981–2021.

To achieve the purpose of the paper, we apply the Lagrange Multiplier (LM) unit root test with structural breaks.

The results of our study confirm the stationarity of entrepreneurship for the majority of our categorizations. Therefore, entrepreneurs' willingness to start a business is temporarily affected by sharp shocks, suggesting that the entrepreneurship trends in these categories will eventually revert to their long-run equilibrium. However, the time series of entrepreneurship in provinces such as Zanjan and Lorestan, as well as in the electrical machines and devices (code 31) sector, remain permanent. These findings can assist policymakers in each sector and location in designing effective policies to promote entrepreneurial activities.

In this study, the time period utilized was restricted, and there were no data accessible for an extended duration. Another limitation of this research is the absence of access to firm-level data on a shorter time scale, such as weekly or monthly.

The economic literature reveals that empirical studies on the persistence of entrepreneurship have received relatively less attention in the context of emerging and resource-based economies, compared to the increasing focus on them in developed countries. Therefore, to address this gap, this paper aims to extend the current empirical literature by presenting new evidence for the case of Iran, which has an emerging and resource-based economy.

The emerging economies of Asia have made remarkable economic progress over the past few decades, primarily driven by rapid structural transformation towards industrialization and manufacturing in particular. The share of informal manufacturing sector value added to GDP and of employment in the informal sector in total employment has increased considerably in these countries. Although this shift from agricultural to industrial/manufacturing may be seen as positive for the goals of poverty reduction, increased standard of living, formation of human capital, etc., its impact on the environment is often not free from contention. The aim of the paper is to examine the impact of informal manufacturing sector growth on environmental degradation in emerging Asian economies. Here, we have used CO₂ emissions as an indicator of environmental degradation. The impact of other exogenous variables, such as population growth, energy consumption, trade openness and foreign direct investment, has also been studied. We have employed the fixed effect model and the random effect model on the data spanning from 2000 to 2022. We have also used the Hausman test to check the suitability of the models. The results of the analysis indicate the presence of a U-shaped relationship between CO₂ emissions and informal manufacturing growth, thus refuting the validity of the Environmental Kuznets Curve hypothesis.

This study aims to investigate the impact of auditor industry specialization (AIS) on clients’ tax planning at the audit firm level and individual auditor level, respectively.

The study’s sample consists of 44,637 firm-year observations of Chinese firms listed on the Shenzhen and Shanghai Stock Exchanges during the period from 2002–2020. The data are collected from the Taiwan Economic Journal. Panel regression is used to test hypotheses. Additionally, a two-stage least squares model is used to address concerns about possible endogeneity.

The relationship between tax planning and AIS is significantly positive at the audit firm level, while it is significantly negative at the individual auditor level.

The authors use manually collected data to investigate the distinct impacts of two AIS metrics on tax planning: the number of clients and the scale of clients.

This paper aims to initiate new avenues of research by examining optimal intellectual capital (IC) inputs, introducing three theories into the discussion: diminishing returns to scale, transaction costs economics and efficiency wage theory. In the second part, it advocates for demonstrating the existence of such non-optimality through empirical tests.

This paper is divided into two parts. The first part provides a theoretical justification for the necessity of observing nonlinear relationships between IC inputs and firm performance. In the empirical section, the research design follows a four-step process, each progressively building on insights gained from the preceding phase: (1) establishing a baseline linear regression model; (2) introducing the logarithm of the IC inputs; (3) incorporating the square terms of the IC inputs and (4) investigating the phenomena of over- and under-input in IC.

The background theories and the obtained results highlight the necessity for firms to adopt a strategic approach to IC, acknowledging the diverse effects of IC components on different outcomes. They emphasize the nonlinear nature of IC returns, underscoring the importance of investing up to an optimal level to maximize benefits.

The study’s discovery of optimal levels for the components of IC highlights the importance for practitioners to identify and invest up to these optimal levels. This ensures that IC initiatives are strategically aligned to maximize their positive impact on firm performance.

The integration of theories such as diminishing returns to scale, transaction costs economics and efficiency wage theory, alongside traditional frameworks like the resource-based view, the theory of dynamic capabilities and the knowledge-based theory of the firm, opens up new avenues for research on IC. The proposed methodology and measures – from financial reports – provide opportunities for replicating this type of study.