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Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

This study reexamines the sustainability of fiscal policy in Sweden.

To test the sustainability of fiscal policy, two approaches are used; the methodology of Kejriwal and Perron (2010), testing for multiple structural changes in a cointegrated regression model and time-varying cointegration test of Bierens and Martins (2010), and Martins (2015).

Using the first approach of testing for multiple structural changes in a cointegrated regression model, the results indicate that government spending and revenue are cointegrated with two breaks. An estimation of a two-break long-run model shows that the slope coefficient increases from 0.678 to 0.892 from the first to the second regime, implying that fiscal deficits were weakly sustainable in the first two regimes, from 1800 to 1943, and from 1944 to 1974. Further, results from time-varying cointegration test indicate that cointegration between spending and revenue in Sweden is time-varying. Fiscal deficits were found to be unsustainable for the periods 1801–1811, 1831–1838, 1853–1860 , 1872–1882, 1897–1902, 1929–1940 and 1976–1982 and weakly sustainable over the rest of the study period.

A number of implications arise from this study: (1) Accounting for breaks in cointegration analysis and in the estimation of the level relationship between spending and revenue is very important because ignoring breaks may lead to an overestimated slope coefficient and hence a bias on the magnitude of fiscal deficit sustainability. (2) In testing for cointegration between spending and revenue, assuming a constant cointegrating slope when it is actually time-varying can also be misleading because deficits can be sustainable for a period of time and unsustainable over another period.

The contribution of this study is three-fold; first, the study uses a long series of annual data spanning over a period of two centuries, from 1800 to 2011. Second, because of the importance of structural change in economics, to examine the existence of a level relationship between spending and revenue, the study uses the methodology of Kejriwal and Perron (2010) to test for multiple structural changes in a cointegrated regression model, as well as time-varying cointegration of Bierens and Martins (2010) and Martins (2015).

This study aims to present the climate change effect on soil moisture regimes in Mexico in a global 1.5°C warming scenario.

The soil moisture regimes were determined using the Newhall simulation model with the database of mean monthly precipitation and temperature at a scale of 1: 250,000 for the current scenario and with the climate change scenarios associated with a mean global temperature increase of 1.5°C, considering two Representative Concentration Pathways, 4.5 and 8.5 W/m² and three general models of atmospheric circulation, namely, GFDL, HADGEM and MPI. The different vegetation types of the country were related to the soil moisture regimes for current conditions and for climate change.

According to the HADGEM and MPI models, almost the entire country is predicted to undergo a considerable increase in soil moisture deficit, and part of the areas of each moisture regime will shift to the next drier regime. The GFDL model also predicts this trend but at smaller proportions.

The changes in soil moisture at the regional scale that reveal the impacts of climate change and indicate where these changes will occur are important elements of the knowledge concerning the vulnerability of soils to climate change. New cartography is available in Mexico.

The purpose of this study is to propose a matrix framework to understand the interdependencies of domains and scales of protein transition towards diets based on plants and alternative sources of proteins.

The abductive research approach is used in building the framework, and the proposed framework is illustrated using the regional food system in Central Finland as an example. Focus groups and interviews were used to collect qualitative data from 28 respondents.

This study provides a framework for protein transition, with five domains and five scale levels. Interactions between public and private governance activities at different scales, domains and governed niche and regime levels are discussed. The study shows how micro-level activities at individual or community levels are linked with broader governance activities.

Due to the relatively narrowed set of empirical data, further research is required to test the framework in different regional and cultural settings.

This paper presents a practical illustration of the matrix framework, and considering this, the paper discusses the possible implications of matrix interdependencies for protein transition management.

This study proposes that understanding the coevolution of domains and scales, with the help of accurate policies and business models, can lead to effective protein transition.

This study fulfils an identified need to study protein transition in a broader frame, which highlights the structural activity interdependencies between different scale levels and domains.

Mobilizing a theoretical framework combining institutional logics and “imprinting” lenses, this paper provides an in-depth contextualized analysis of how historical imprints affect social and environmental reporting (SER) practices in Romania, a post-communist country in Eastern Europe.

The authors conduct a qualitative field study with a diverse dataset including regulations, publicly available reports and interviews with multiple actors involved in the SER field in Romania. The authors follow a reflexive approach in constructing the narratives by mobilizing their personal experience and understanding of the field to analyze the rich empirical material.

The authors identify a blend of logics that combine local and Western conceptualizations of business responsibilities and explain how the transition from a communist ideology to the free market economy affected SER practices in Romania. The authors also highlight four major imprints and document their longitudinal development, evidencing three main patterns: persistence, transformation and decay. The authors find that the deep connections that form between logics and imprints explain the cohabitation of logics rather than their straight replacement.

The paper contributes by evidencing the role of imprints' dynamics in the institutionalization of SER logics. The authors claim that the persistence (decay) of imprints from a former regime such as communism hinders (facilitates) the institutionalization of Western SER logics. Transformation instead has more uncertain effects. The pattern that an imprint takes hinges upon its usefulness for business interests.

Agricultural and food systems in the Mekong Region are undergoing transformations because of increasing engagement in international trade, alongside economic growth, dietary change and urbanisation. Food systems approaches are often used to understand these kinds of transformation processes, with particular strengths in linking social, economic and environmental dimensions of food at multiple scales. We argue that while the food systems approach strives to provide a comprehensive understanding of food production, consumption and environmental drivers, it is less well equipped to shed light on the role of actors, knowledge and power in transformation processes and on the divergent impacts and outcomes of these processes for different actors. We suggest that an approach that uses food systems as heuristics but complements it with attention to actors, knowledge and power improves our understanding of transformations such as those underway in the Mekong Region. The key transformations in the region include the emergence of regional food markets and vertically integrated supply chains that control increasing share of the market, increase in contract farming particularly in the peripheries of the region, replacement of crops cultivated for human consumption with corn grown for animal feed. These transformations are increasingly marginalising small-scale farmers, while at the same time, many other farmers increasingly pursue non-agricultural livelihoods. Food consumption is also changing, with integrated supply chains controlling substantial part of the mass market. Our analysis highlights that theoretical innovations grounded in political economy, agrarian change, development studies and rural livelihoods can help to increase theoretical depth of inquiries to accommodate the increasingly global dimensions of food. As a result, we map out a future research agenda to unpack the dynamic food system interactions and to unveil the social, economic and environmental impacts of these rapid transformations. We identify policy and managerial implications coupled with sustainable pathways for change.

The purpose of this paper is to explore the formation and composition of “regions” as places of care, both empirically and conceptually.

This paper draws on action-oriented research involving experiments aimed at designing, implementing and evaluating promising solutions to the entwined problems of a burgeoning elderly population and an increasing shortage of medical staff. It draws on ethnographic research conducted in 14 administrative areas in the Netherlands, a total of 273 in-depth interviews and over 1,000 h of observations.

This research challenges the understanding of a healthcare region as a clearly bounded topological area. It shows that organizations and professionals collaborate in a variety of different networks, some conterminous with the administrative region established by policymakers and others not. These networks are by nature unstable and dynamic. Attempts to form new regional collaborations with neighbouring organizations are complicated by existing healthcare governance and accountability structures that position organizations as competitors.

Policymakers should take the pre-established partnerships of healthcare organizations into account before delineating the area in which regionalization is meant to take place. A better alignment of governance and accountability structures is also needed for regionalization to occur in healthcare.

This paper combines insights from valuation studies with sociogeographical literature and provides a framework for understanding the assembling and disassembling of “regions”.

The purpose of this paper is to develop a framework to evaluate and assess the performance of the COVID-19 vaccine distribution process that is sensitive to the unique supply-side and demand-side constraints exhibited in the US vaccine rollout.

A queuing framework that operates under two distinct regimes is formulated to analyze service rates that represent system capacity to vaccinate (under the first regime) and hesitancy-induced throughput (under the second regime). These supply- and hesitancy-constrained regimes form the focus of the present paper, as the former reflects the inherent ability of the nation in its various jurisdictions to mobilize, whereas the latter reflects a critical area for public policy to protect the population’s overall health and safety.

The two-regime framework analysis provides insights into the capacity to vaccinate and hesitancy-constrained demand, which is found to vary across the country primarily by politics and region. The framework also allows analysis of the end-to-end supply chain, where it is found that the ability to vaccinate was likely constrained by last-mile administration issues, rather than the capacity of the manufacturing and transportation steps of the supply chain.

This study presents a new framework to consider end-to-end supply chains as dynamic systems that exhibit different regimes because of unique supply- and demand-side characteristics and estimate rollout capacity and underlying determinants at the national, state and county levels.

The purpose of this paper is to explain the issues and variables that influence the bureaucracy’s role and work in the transitional period, which is known with its complexity, uncertainty, instability, ambiguity and asymmetry. This paper highlights the transition from theoretical perspective, giving examples from the Polish experience in transition.

This paper describes the changing roles of public bureaucracies in transitional periods by highlighting their ecology with the transitional period and analyzing the determinants of bureaucracy’s role and functions in terms of participation in policy-making policies, providing consultations to executives and elected officials, working as a mediator in communication and acting as an active participant in the development process giving examples from Poland. Finally, it highlights the way the bureaucracy manages its functions and the internal and external variables that constitute various levels affecting this role in the transition.

Bureaucracy is supposed to function naturally and stably in an unstable environment (transition) as its success in doing these functions and helping the new regime to exceed the transition and achieve its goals depends on many variables (bureaucracy capabilities and skills, history, power, experience, the nature of politics and bureaucratic functions, political support, policy environment, knowledge, cohesion, etc.). Most of these variables were demonstrative in the case of Poland.

This paper will be useful for scholars and policymakers interested in public administration role in the time of transition, especially countries that recently have been experiencing the transition.

This study analyses agricultural land price dynamics in order to better understand price development and to improve forecast accuracy. Understanding the evolution of agricultural land prices is important when considering sound investment decisions.

This study applies threshold autoregression to model agricultural land prices. The data includes quarterly observations on Finnish agricultural land prices.

The study shows that Finnish agricultural land prices exhibit regime-switching behaviour when using past changes in prices as a threshold variable. The threshold autoregressive model not only fits the data better but also improves the accuracy of price forecasts compared to the linear autoregressive model.

The results show that a sharp fall in agricultural land prices temporarily changes the regular development of prices. This information significantly improves the accuracy of price predictions.