Nonholonomic Research Articles

When socialization fails: breaking the habit of engagement with China

Abstract Why do states sustain failing policy? The literature on path dependency and cognitive habits shows how foreign policy logics become axiomatic. Yet these explanations focus too much on people and not enough on policies. We argue that the content of policies matters for the degree and depth of their entrenchment. Policies with long-term time horizons, immeasurable objectives and diffuse effects are especially vulnerable to stasis. Engagement policies toward China are a paradigmatic example. We focus on Canada's engagement policy, which exhibits both stasis and change, and refer to similar policies of other countries. Drawing on primary evidence including interviews with high-level diplomats and decision-makers, we find that engagement aimed at socializing China was sustained despite growing evidence of its failure—including through a multi-year diplomatic crisis. Change only became possible through ‘institutionalized debate’, meaning the purposeful creation of formal channels for debate. The article makes three contributions. First, we identify a novel explanation of stasis, showing that the content of policies matters. Second, we introduce a practical pathway—institutionalized debate—that can disrupt stasis once a policy logic is habituated. Finally, we identify an aspect of socialization ignored in the literature: when operationalized as policy, it becomes resistant to reversal.

Transportation, decentralization, and path dependence: How did the old tramway shape Shanghai, China?

This article studies the short- and long-run economic consequences of the now-extinct Shanghai tramway. Tramway was the primary mode of transportation in Shanghai between 1908 and the 1930s, continuing to operate until 1975. With the geolocation of the tramway lines on both historical cadastral maps and current Google maps, the article finds that after the arrival of the tramway, land lots close to the tramway lines experienced a larger increase in land value relative to those far away from the tramway lines, and that the reduction in transportation costs led to a flattening land value gradient with respect to distance from the central business district (CBD). It also finds that the tramway still influences the current pattern of urban land value, even nearly fifty years after the removal of the last tramway track. Such persistent influence can be largely explained by the follow-on amenities near the tramway lines. The evidence found in this article suggests that the tramway in Shanghai promoted decentralization by enhancing accessibility to the CBD from distant locations in its heyday, and influences modern behaviors through the mutually reinforced private and public coordination of economic activities.

Path creation as a discursive process: A study of discussion starters in the field of solar fuels.

When a technology is seen as the right solution to a recognized problem, the development of alternative technologies comes under threat. To secure much-needed resources, proponents of alternative technologies must, in these conditions, restart societal discussion on the status quo, a process at once technological and discursive known as 'path creation'. In this article, we investigate discussion-restarting strategies employed by supporters of emerging technologies in the field of solar fuels, particularly the advocates of a technology referred to as 'artificial photosynthesis'. For illustrative purposes we explore four such strategies: revisiting weak spots, resizing the problem, redefining the game, and renegotiating labels. We conclude with a methodological reflection on the empirical study of discursive strategies in a socio-technical system. We further suggest a more systematic application of discourse-analytical and argumentation-theoretical insights that can complement current scholarship on path dependence and path creation.

Symmetry and Historicity in the Game of Life: Modifying Rules to Simulate Evolutionary Dynamics

The Game of Life (GoL) is a paradigmatic computer simulation that exhibits the emergence of complex properties of the whole from relatively simple sets of heuristic rules operating at lower organizational levels. Therefore, it is widely understood as a valuable tool for investigating global properties of evolutionary processes. Cognizant of refined concepts that emerged in recent debates on the central role of historical contingency (historicity) in evolution, we modify the original GoL rules by introducing an updating feedback loop and a probability factor that reflect the degree of historicity in pattern evolution as both stochastic path dependence and sensitivity to initial conditions. We examine this trait in simulations of the emergence and breaking of bilateral and radial symmetries commonly observed in the evolution of life, most prominently as evolving body plans. We show that the implementation of historicity parameters leads to a more realistic sequential and gradual alternating emergence and the breaking of new symmetries than the original set of rules. Apart from its more realistic representations of evolutionary processes, the new approach allows for easier exploration of the parameter space, demonstrates the sequential and gradual emergence and breaking of symmetries, and provides a publicly available and modular simulation tool. We discuss the exploratory potential of the modified GoL platform we designed as an extended thought experiment to study the parameter space defining the historicity of biological processes.

Towards a degrowth transition: bringing interests back in

ABSTRACT Degrowth has become particularly important in the environmental movement in recent years. However, there is no consensus on how to achieve the shift from a growth-oriented society to a degrowth-oriented society. We suggest that a productive means of addressing this issue is by turning to debates concerning processes of institutional change and sustainability transitions. This approach has two key implications. On the one hand, accounts of degrowth transitions resonate with broader theories of institutional change. For instance, some, in common with historical institutionalism, emphasise the path dependencies of existing growth-oriented institutions while others, in common with discursive institutionalism, highlight the role of ideas in facilitating the creation of a degrowth-oriented society. On the other hand, there are serious limitations to these theories of institutional change. From the perspective of critical political economy, they fail to situate institutions in the broader context of capitalist power dynamics and thus do not engage with social interests. On the basis of two case studies, we argue that degrowth needs to address the question ‘who wants degrowth?’, or how its demands advance the interests of the working class, with its different intersections, in the contemporary moment.

Historical origins of corruption in the Romanian public health system - path dependency and contagion effect

BackgroundIn this paper, we estimate the long-lasting influence of the former Habsburg Empire's border on the territory of Romania, specifically on the prevalence of corrupt behaviour and practices in health services.MethodsEmploying microdata from the 2016 Life in Transition Survey and applying ordered probit regression, we explore the hypothesis that the geographical proximity of respondents' residences to the former imperial border—restricting the analysis within a bandwidth of 50 km, 75 km or even 100 km on either side – significantly influences current individual tendencies towards corrupt behaviour.ResultsThe results indicate that individuals in Transylvania living in the immediate vicinity of the former border of the Habsburg Empire (no more than 75 km away) show a higher propensity towards corrupt behaviours, similar to those from Moldova and Wallachia who reside in the same bandwidth but to the east of the former historical border. Interestingly, on one hand, after a series of tests with various relevant factors, the contagion effect is observed from right to left, meaning from those in Moldova and Wallachia towards those in Transylvania, and not the other way around as might be expected based on other previous studies. On the other hand, individuals living more than 75 kms west of the former historical border show clear reluctance to engage in informal payments and gift-giving when interacting with the public health system as patients.ConclusionBy rigorously controlling for various variables that comprehensively show different legacies of the communist regime, our results confirm the persistence of these influences across different bandwidths, thereby corroborating the hypothesis of path dependence influenced by the former Habsburg Empire.

Motion of general nonholonomic systems from the d’Alembert principle via an algebraic method

The aim of this study is to present an alternative way to deduce the equations of motion of general (i. e. also nonlinear) nonholonomic constrained systems starting from the d’Alembert principle and proceeding by an algebraic procedure. The two classical approaches in nonholonomic mechanics – Cˇ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\check{\ extrm{C}}}$$\\end{document}etaev method and vakonomic method – are treated on equal terms, avoiding integrations or other steps outside algebraic operations. In the second part of the work, we compare our results with the standard forms of the equations of motion associated with the two method and we discuss the role of the transpositional relation and of the commutation rule within the question of equivalence and compatibility of the Cˇ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\check{\ extrm{C}}}$$\\end{document}etaev and vakonomic methods for general nonholonomic systems.

Unraveling the mystery of urban expansion in the Guangdong-Hong Kong-Macao Greater Bay Area: Exploring the crucial role of regional cooperation

Existing scholarship extensively explores the dynamics, determinants, and consequences of urban expansion, yet there is scant literature examining the impact of regional cooperation upon the directions and spatial forms of urban expansion amidst the fast-urbanizing process. This study focuses on the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), a developed megacity-region in southern China, to probe whether the notable urban expansion observed in contemporary China has been profoundly influenced by collaborative efforts among jurisdictions. Through the spatial metrics and panel data regression spanning the period from 2010 to 2018, this study unveils that regional cooperation has extended from coastal cities towards hinterland cities within the GBA. Consequently, urban land in most cities has undergone expansion in diverse directions. Furthermore, in contrast to economic and social cooperation, regional institutional cooperation emerges as the most influential factor driving external urban expansion. Additionally, heterogeneous results reveal that regional cooperation drives the external expansion of ordinary cities towards core cities. In contrast, the inertia within the urban system demonstrates strong path dependence on the pattern of adjacent expansion, contrasting with the external expansion facilitated by regional cooperation. In summary, this study illuminates the genesis and dynamics of urban expansion amid the city-regionalization process, going beyond interpretations confined to the municipal scale.

Spatially Resolved Temperature Response Functions to CO2 Emissions

AbstractCarbon dioxide (CO2) emissions affect local temperature; quantifying that local response is important for learning about the earth system, the impacts of mitigation, and adaptation needs. We assume the climate system can be represented as a time‐dependent linear system, diagnosing Green's Functions for the spatial temperature response to CO2 emissions based on CMIP6 earth system models. This allows us to emulate the linear component of the temperature response to CO2. This approach is sufficient to capture the spatial temperature response of CMIP6 experiments within one standard deviation of the multimodel spread across most regions, though accuracy is lower in the Southern Ocean and the Arctic. Our approach reveals where nonlinear feedbacks are important in current CMIP6 models, and where the local system response is well represented by a time‐dependent linear differential operator. It incorporates emissions path dependency and may be useful for evaluating large ensembles of emission scenarios.

Facilitating unlearning in agricultural education: preparing for family-farm succession

ABSTRACT Purpose This paper seeks to explore the manner in which secondary vocational education in agriculture can facilitate unlearning among young farmers. In this context, ‘unlearning’ means deliberately letting go of mindsets, practices, and routines that are no longer fit for purpose. Design/Methodology/Approach We use a course on sustainable family-farm succession as a case study in order to illustrate how unlearning may feature in agricultural education. We organised focus-group sessions with three teachers of that course. The sessions focused on three subprocesses of unlearning: (i) initial destabilisation, (ii) ongoing discarding and experimentation, and (iii) developing and relinquishing. Findings We show that teachers can facilitate unlearning, and discuss how teachers may help students to navigate intergenerational tensions in unlearning. We conclude that unlearning is a layered concept: it involves adaptation to a changing agriculture sector context as much as emancipation from the social context. We also show how expressions of solidarity and loyalty may undermine unlearning. Practical implications Agricultural educators are increasingly being tasked with helping future food professionals to manage the complexity of food systems. Our analysis points to means by which teachers who are seeking to reshape agricultural education may adopt the concept of unlearning in order to foster young farmers’ consciousness and agency in food system transformation. Theoretical implications A pedagogy of unlearning can contribute to designing education that enables young farmers to overcome path dependency in farm succession. Originality/Value This paper proposes unlearning as an innovative pedagogy for farmers’ training in view of food system transformation.

Under the Goal of Sustainable Development, Do Regions with Higher Energy Intensity Generate More Green Innovation? Evidence from Chinese Cities

Sustainable development is a global focal point. This study aims to analyze the relationship between energy intensity and green innovation using panel data from 285 Chinese cities spanning from 2003 to 2019. The novel element of this research is the first-time exploration of green innovation through the lens of local industry attributes. It explains the impact of energy intensity on the development of green innovation. By employing a two-way fixed-effect model, the regression analysis reveals that higher energy intensity in cities negatively influences green innovation. Robustness and mechanism tests indicate that in regions with higher energy intensity, governments issue more policies to encourage enterprises and research institutions to pursue green innovation. However, these regions have developed significant path dependence, and local enterprises are reluctant to increase green investment even when facing stringent regulations. Heterogeneity analysis proves that cities with higher levels of digitalization, R&D investment, urbanization, and per capita GDP exhibit an increase in green innovation. The research and findings of this study are of significant importance for policy and strategy formulation, allowing governments and enterprises to develop targeted economic strategies to improve energy efficiency and promote green innovation, thereby achieving sustainable development goals. Potential limitations include data quality, and some key information is difficult to obtain from public sources due to confidentiality, which may result in limitations and biases in the results.

A gendered ‘politics of discomfort’: the effects of immigration- and integration policies on Syrian and Eritrean women’s homemaking processes in the Netherlands

ABSTRACT Following scholars who critique integration with a homemaking lens (Boccagni and Hondagneu-Sotelo 2023), this paper studies the impact of immigration- and integration policies on Syrian and Eritrean women’s homemaking processes in the Netherlands, and produces knowledge on the gendered effects of migration-related policies on individuals (Freedman 2017). Based on analyses of legal and policy documents, and life history interviews, observations, and mapping- and photo journaling exercises held with forty-five Syrian and Eritrean women in the Netherlands, I show how procedures to obtain legal residence, reception centres, different legal statuses, spatial dispersal policy, the Integration Act and the Participation Act pursue a ‘politics of discomfort’ (Darling 2011). While designed to promote ‘integration’, these policies construct a demanding, opaque and punitive system that restricts individual control and subjects homemaking to ‘path dependencies’. This discomfort is gendered, as policies occasionally reinforce women’s dependence on men, perpetuate racialised and gendered stereotypes, and break down especially women’s work- and social roles. As the system renders homemaking in public difficult, it induces women’s isolation. Contesting state-inflicted uncertainty, exclusion and isolation, many Syrian and Eritrean women eventually do manage to (re)make home. However, the Dutch state works to produce rather than repair their generally underprivileged position in Dutch society.

Resilience of regional container port network: based on projection correlation and dynamic spatial Markov Chain

ABSTRACT Ports are interconnected by shipping routes within the global logistics network. Shocks and risks stemming from financial crises, epidemics, ecology, and so on have prompted shifts in cross-border labor division towards regional cooperation, reflecting an ‘anti-globalization’ trend. Despite these dynamics, few studies have analyzed the spatial structure and dynamic evolution of resilience within regional container port network. Addressing this gap, this study considers spatial and dynamic attributes to identify influential factors of resilience and introduces the concept of spatial lag-multidimensional resistance (SL-MR) to strengthen the understanding and cognition of regional container port network resilience (RCPNR). By ports in Tianjin and Hebei, China, it constructs a dynamic spatial Markov chain (DSMC) based on the projection correlation (PC index) to dissect transition trajectories amid financial crises and other conflicts. The findings indicate: (1) The regional container port network often experiences a low-level path dependence like ‘poverty trap.’ (2) Hierarchical spatial lags significantly influence the transition probability of container port network resilience degradation, with regional port relationships being unidirectional rather than cooperative. (3) The impact of the 2008 financial crisis and the COVID-19 pandemic on regional port resilience varies, serving as key determinants in shaping diverse resilience types.

Do Big Tech Responsibility Narratives Reflect Wilful Blindness or Path Dependence?

Do Big Tech Responsibility Narratives Reflect Wilful Blindness or Path Dependence?

Controlled Lagrangians and Stabilization of Euler–Poincaré Equations with Symmetry Breaking Nonholonomic Constraints

Controlled Lagrangians and Stabilization of Euler–Poincaré Equations with Symmetry Breaking Nonholonomic Constraints

Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet.

Robust constrained formation tracking control of underactuated underwater vehicles (UUVs) fleet in 3-D space is a challenging but practical problem. To address this problem, this article develops a novel consensus-based optimal coordination protocol and a robust controller, which adopts a hierarchical architecture. On the top layer, the spherical coordinate transform is introduced to tackle the nonholonomic constraint, and then a distributed optimal motion coordination strategy is developed. As a result, the optimal formation tracking of UUVs fleet can be achieved, and the constraints are fulfilled. To realize the generated optimal commands better and, meanwhile, deal with the underactuation, at the lower-level control loop a neurodynamics-based robust backstepping controller is designed, and in particular, the issue of "explosion of terms" appearing in conventional backstepping-based controllers is avoided and control activities are improved. The stability of the overall UUVs formation system is established to ensure that all the states of the UUVs are uniformly ultimately bounded in the presence of unknown disturbances. Finally, extensive simulation comparisons are made to illustrate the superiority and effectiveness of the derived optimal formation tracking protocol.

Event-Triggered Adaptive Tracking Control for Disturbed Nonholonomic Systems With Asymmetric State Constraints

Event-Triggered Adaptive Tracking Control for Disturbed Nonholonomic Systems With Asymmetric State Constraints

Digital transformation through organisational unlearning: insights from practitioners’ voice

ABSTRACT This article explores the concept of unlearning in the realm of Digital Transformation (DT), identifying it as a crucial underpinning for effective adaptation and change. The research adopts the engaged scholarship framework, utilizing deductive qualitative analysis to discern patterns and themes related to unlearning in the context of DT. Through semi-structured interviews with practitioners, this study probes the emergence of unlearning in the tide of DT and the specific practices employed to navigate this transition. The findings reveal that entrenched path dependencies often inhibit organizational DT, underscoring the need for unlearning as a strategic response. By listening to the practitioners’ narratives, the research illuminates how the pivotal role of unlearning seems to emerge in the face of DT. The main implications of this study suggest that organizations should embrace unlearning to disrupt ingrained habits and assumptions, thereby enabling a more agile and responsive posture.

The effect of multi-tasks mechanism on cooperation in evolutionary game.

Human games are inherently diverse, involving more than mere identity interactions. The diversity of game tasks offers a more authentic explanation in the exploration of social dilemmas. Human behavior is also influenced by conformity, and prosociality is a crucial factor in addressing social dilemmas. This study proposes a generalized prisoner's dilemma model of task diversity that incorporates a conformity-driven interaction. Simulation findings indicate that the diversity of multi-tasks and the path dependence contribute to the flourishing of cooperation in games. Conformity-driven interactions also promote cooperation. However, this promotion effect does not increase linearly, and only appropriate task sizes and suitable proportions of conformity-driven interactions yield optimal results. From a broader group perspective, the interplay of network adaptation, task size, and conformity-driven interaction can form a structure of attractors or repellents.

Comparison between an Adaptive Gain Scheduling Control Strategy and a Fuzzy Multimodel Intelligent Control Applied to the Speed Control of Non-Holonomic Robots

The main objective of this work is to address problems related to the speed control of mobile robots with non-holonomic constraints and differential traction—specifically, robots for football games in the VSS (Very Small Size) category. To achieve this objective, an implementation and comparison is carried out between two control strategies: an adaptive control strategy by gain scheduling and a fuzzy multimodel intelligent control strategy. The mathematical models of the wheel motors for each operating range are approximated by a first-order system since data acquisition is performed using the step response. Tuning of the proportional and integral gains of the local controllers is carried out using the root locus technique in discrete time. For each mathematical model obtained for an operating range, a local controller is tuned. Finally, with the local controllers in hand, the implementation of and comparison between the gain scheduling adaptive control strategy and the fuzzy multimodel intelligent control strategy are carried out, in which the control strategies are programmed into the low-level code of a non-holonomic robot with a differential drive to verify the performance of the speed tracking dynamics imposed on the wheel motors to improve robot navigation during a robot football match.