Subnational Analysis of Economic Fitness and Income Dynamic: The Case of Mexican States

In recent years, analytical tools of network theory have provided strong empirical support to the well-known hypothesis that regions develop through the local learning of capabilities (tacit productive knowledge). In this paper, we compare two indexes of competitiveness (or accumulated capabilities) for a subnational database of 32 Mexican states in the period 2004–2014. We find that Endogenous Fitness (i.e., region fitness and product complexity are derived jointly using only a Mexican exports database) has a better performance than Exogenous Fitness (i.e., product complexity comes from a world exports database and fitness is the sum of the complexity scores for the region’s competitive products). The performance criterion is established with the indicator’s capacity to meet a requirement of growth predictability: the existence of at least one laminar (ordered) regime in the fitness–income plane. In the Mexican data, Endogenous Fitness is a reliable predictor of per capita GDP in two distinct areas of the plane: one of continuous progress and opportunities, and another of stagnation and deteriorating fitness. The predictive capacity of this indicator becomes clear only when the metrics’ calculations are filtered by removing raw petroleum or oil-dependent states, while such capacity is robust to the inclusion of tourism—another important industry of the Mexican economy.

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Lifestyle carbon footprints and changes in lifestyles to limit global warming to 1.5 °C, and ways forward for related research

Sustainability Science ◽

10.1007/s11625-021-01018-6 ◽

2021 ◽

Author(s):

Ryu Koide ◽

Michael Lettenmeier ◽

Lewis Akenji ◽

Viivi Toivio ◽

Aryanie Amellina ◽

...

Keyword(s):

Global Warming ◽

Quantitative Analysis ◽

Sustainability Science ◽

Scenario Development ◽

Carbon Footprints ◽

Related Research ◽

Living Lab ◽

Per Capita ◽

Using Data ◽

Subnational Analysis

AbstractThis paper presents an approach for assessing lifestyle carbon footprints and lifestyle change options aimed at achieving the 1.5 °C climate goal and facilitating the transition to decarbonized lifestyles through stakeholder participatory research. Using data on Finland and Japan it shows potential impacts of reducing carbon footprints through changes in lifestyles for around 30 options covering food, housing, and mobility domains, in comparison with the 2030 and 2050 per-capita targets (2.5–3.2 tCO2e by 2030; 0.7–1.4 tCO2e by 2050). It discusses research opportunities for expanding the footprint-based quantitative analysis to incorporate subnational analysis, living lab, and scenario development aiming at advancing sustainability science on the transition to decarbonized lifestyles.

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ANALISIS FAKTOR DETERMINASI KREDIT SECARA LANGSUNG DAN TIDAK LANGSUNG DI KABUPATEN BERAU

Jurnal Ekonomi Pembangunan ◽

10.22219/jep.v11i2.3743 ◽

2013 ◽

Vol 11 (2) ◽

pp. 247

Author(s):

. Amiruddin

Keyword(s):

Interest Rate ◽

Path Analysis ◽

Capita Income ◽

Direct Influence ◽

Per Capita Income ◽

Indirect Influence ◽

Per Capita ◽

Analytical Tools ◽

Dominant Influence

The purpose of this study is to (1) analyze the effect of per capita income, inflation, interest rate, savings last year and the savings directly to credit in Berau. (2) analyze the effect of per capita income, inflation, interest rate, savings last year and the savings indirectly to credit in Berau. (3) analyze which variables are dominant influence on credit in Berau Disrict. In order to test the hypothesis analysis the authors use analytical tools path analysis using SPSS 19. The data used in this study is the data per capita income, inflation, interest rate, savings and credit in 2002-2012. The results show that there is a direct influence between per capita income, inflation, interest rate, savings last year and the savings to credit in Berau District, and The results show that there is a indirect influence between per capita income, inflation, interest rate, savings last year and the savings to credit in Berau

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Structural Dynamics of International Trade and Material Consumption: A Cross-National Study of the Ecological Footprints of Less-Developed Countries

Journal of World-Systems Research ◽

10.5195/jwsr.2005.393 ◽

2005 ◽

pp. 57-77 ◽

Cited By ~ 58

Author(s):

Andrew A. Jorgenson ◽

James Rice

Keyword(s):

International Trade ◽

Methodological Approach ◽

Empirical Support ◽

Capital Intensity ◽

Developed Countries ◽

National Study ◽

Less Developed Countries ◽

Ecological Footprints ◽

Per Capita ◽

Export Flows

Many social scientists argue that more-developed countries externalize their environmental costs through the tapping of resources of less-developed countries, which reduces levels of consumption in the latter while increasing forms of environmental degradation within their borders. However, these assertions lack systematic empirical support. This study offers a new conceptualization of the structure of international trade that may help to partly resolve this issue: weighted export flows, which quantifies the relative extent to which exports are sent to higher-consuming, more-developed countries. Our hypothesis is that less-developed countries with higher levels of exports sent to more-developed countries exhibit lower domestic levels of resource consumption, measured as ecological footprints. In a series of regression models of per capita ecological footprints for less-developed countries in 2000, evidence is found supporting the hypothesis. The negative effect of weighted export flows on the per capita footprints of nations is robust, net of the often cited impacts of capital intensity, urbanization, domestic inequality, human capital, and other export-related characteristics. Results of this study provide empirical evidence of the environmental impacts of the structure of international trade and outline a new methodological approach to studying uneven ecological exchange.

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Omnivory does not preclude strong trophic cascades

10.1101/441535 ◽

2018 ◽

Author(s):

Ashkaan K. Fahimipour ◽

David A. Levin ◽

Kurt E. Anderson

Keyword(s):

Empirical Evidence ◽

Parameter Space ◽

Growth Rates ◽

Trophic Cascades ◽

Empirical Support ◽

Foraging Strategy ◽

Foraging Strategies ◽

Primary Producers ◽

High Productivity ◽

Per Capita

AbstractOmnivory has been cited as an explanation for why trophic cascades are weak in many ecosystems, but empirical support for this prediction is equivocal. Compared to predators that feed only on herbivores, top omnivores — species that feed on both herbivores and primary producers — have been observed generating cascades ranging from strong, to moderate, null, and negative. To gain intuition about the sensitivity of cascades to omnivory, we analyzed models describing systems with top omnivores that display either fixed or flexible diets, two foraging strategies that are supported by empirical observations. We identified regions of parameter space wherein omnivores following a fixed foraging strategy, with herbivores and producers comprising a constant proportion of the diet, non-intuitively generate stronger cascades than predators that are otherwise demographically identical: (i) high productivity relative to herbivore mortality, and (ii) small discrepancies in producer versus herbivore reward create conditions in which cascades are stronger with moderate omnivory. In contrast, flexible omnivores that attempt to optimize per capita growth rates during search never induce cascades that are stronger than the case of predators. Although we focus on simple models, the consistency of these general patterns together with prior empirical evidence suggests that omnivores should not be uniformly ruled out as agents of strong trophic cascades.

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Mediated Action and Network of Actors

International Journal of Actor-Network Theory and Technological Innovation ◽

10.4018/jantti.2011070102 ◽

2011 ◽

Vol 3 (3) ◽

pp. 21-34 ◽

Cited By ~ 1

Author(s):

Antonio Díaz Andrade ◽

Samuel Ekundayo

Keyword(s):

Activity Theory ◽

Human Activity ◽

Network Theory ◽

Actor Network Theory ◽

Actor Network ◽

Mediated Action ◽

Theoretical Approaches ◽

Similarities And Differences ◽

Analytical Tools ◽

Sociology Of Technology

Both actor-network theory and activity theory call attention to the coexistence of people and technology. Although both theories provide analytical tools to understand the nature of the reciprocal action-shaping of humans and nonhumans, each puts emphasis on different conceptual elements of human activity. In this paper, the authors examine both activity theory and actor-network theory and present their similarities and differences, limitations, and complementarities. Using the theoretical lenses of both theories, the authors trace the evolution of an ordinary artifact to illustrate how researchers on the sociology of technology and innovations can benefit from these parallel theoretical approaches.

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Socio-Intercultural Entrepreneurship Capability Building and Development

10.4018/978-1-7998-8505-4.ch007 ◽

2022 ◽

pp. 118-137

Author(s):

José G. Vargas-Hernández ◽

Jorge Armando López-Lemus

Keyword(s):

Cultural Differences ◽

Empirical Support ◽

Capability Building ◽

Research Gap ◽

Analytical Tools ◽

Culturally Embedded

This study aims to analyze the socio-intercultural entrepreneurship as capability building and development. The analysis departs from the assumption that entrepreneurship is a culturally embedded concept, although the intercultural category used in entrepreneurial studies has not found full conceptual, theoretical, and empirical support. Based on this existing research gap, this analysis reviews the literature to address the main issues of the socio-intercultural entrepreneurship focusing on the capability building and development to conclude that it is more situational in context and environmentally oriented. The methodologies used are the exploratory and analytical tools. Socio-intercultural entrepreneurship competence is highly related to be situational in context and environmentally dependent on awareness and understanding of cultural differences.

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Comparison of the Predictive Capacity of the Erotophobia–Erotophilia and the Attitudes Toward Sexual Behaviors in the Sexual Experience of Young Adults

Psychological Reports ◽

10.1177/0033294117741141 ◽

2017 ◽

Vol 121 (5) ◽

pp. 815-830 ◽

Cited By ~ 1

Author(s):

Andrea Blanc Molina ◽

Pablo Sayans-Jiménez ◽

Jorge Luis Ordóñez-Carrasco ◽

Antonio José Rojas Tejada

Keyword(s):

Young Adults ◽

Sexual Behaviors ◽

Sexual Experience ◽

Adult Population ◽

Empirical Support ◽

Risky Behaviors ◽

Snowball Sampling ◽

Predictive Capacity ◽

Sexually Risky ◽

And Behavior

The prediction of sexual behaviors in emerging adult population is important because the number of sexually active individuals is high, and many young adults engage in sexually risky behaviors. Attitudes are an effective way to predict behaviors. The attitude–behavior relation is stronger when both attitude and behavior are measured at equivalent levels of specificity. The aim of this study was to provide empirical support of the Attitudes toward Sexual Behaviors Scale (ASBS) predictive capacity for the sexual experience (number of different sexual behaviors performed) as well as to compare it with the Sexual Opinion Survey (SOS; erotophobia–erotophilia dimension) predictive capacity. Participants were 632 heterosexual young adults (57.8% were women) of Spanish nationality aged 18 to 30 years, selected by incidental and snowball sampling. Sociodemographic questions, the ASBS, the SOS, and a checklist about sexual experience were administered online. When the age and sex variables were controlled, the ASBS predictive capacity for the sexual experience was found to be greater than the SOS predictive capacity in both young men and women. These results might be explained by the higher correspondence in the sexual experience measure (specific sexual behaviors) with the ASBS than with the SOS.

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Predictive Capacity of COVID-19 Test Positivity Rate

10.1101/2021.03.04.21252897 ◽

2021 ◽

Author(s):

Livio Fenga ◽

Mauro Gaspari

Keyword(s):

Intensive Care ◽

Intensive Care Units ◽

Moving Average ◽

Analytical Framework ◽

Daily Basis ◽

Decision Makers ◽

Alternative Formulation ◽

Predictive Capacity ◽

Number Of Patients ◽

Analytical Tools

AbstractCOVID-19 infections can spread silently, due to the simultaneous presence of significant numbers of both critical and asymptomatic to mild cases. While for the former reliable data are available (in the form of number of hospitalization and/or beds in intensive care units), this is not the case of the latter. Hence, analytical tools designed to generate reliable forecast and future scenarios, should be implemented to help decision makers planning ahead (e.g. medical structures and equipment). Previous work of one of the authors shows that an alternative formulation of the Test Positivity Rate (TPR), i.e. the proportion of the number of persons tested positive in a given day, exhibits a strong correlation with the number of patients admitted in hospital and intensive care units. In this paper, we investigate the lagged correlation structure between the newly defined TPR and the hospitalized people time series, exploiting a rigorous statistical model, the Seasonal Auto Regressive Moving Average (SARIMA). The rigorous analytical framework chosen, i.e. the stochastic processes theory, allowed for a reliable forecasting about 12 days ahead, of those quantities. The proposed approach would also allow decision makers to forecast the number of beds in hospitals and intensive care units needed 12 days ahead. The obtained results show that a standardized TPR index is a valuable metric to monitor the growth of the COVID-19 epidemic. The index can be computed on daily basis and it is probably one of the best forecasting tools available today for predicting hospital and intensive care units overload, being an optimal compromise between simplicity of calculation and accuracy.

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Convergence Analysis of Economic Growth in South Kalimantan Province 2011-2019

JEJAK ◽

10.15294/jejak.v14i2.30206 ◽

2021 ◽

Vol 14 (2) ◽

pp. 304-315

Author(s):

Wira Yasari

Keyword(s):

Economic Growth ◽

Income Inequality ◽

Pearson Correlation ◽

Secondary Data ◽

Theil Index ◽

Income Per Capita ◽

Per Capita ◽

Index Value ◽

Analytical Tools ◽

The Relationship

This study aims to analyze the convergence of economic growth in South Kalimantan Province in 2011-2019 based on the level of income per capita. The population of this research is the districts in South Kalimantan Province. Subjects take in the form of levels of income per capita with secondary data sourced from BPS. The analytical tools used are economic growth, Theil index, Williamson index, and Klassen typology model. This study also analyzes the relationship between economic growth and income inequality using Pearson correlation analysis. The results of this study indicate that there is a convergence of inequality in South Kalimantan Province in 2011-2019 with an average Williamson Index value at 0.496 and Theil index at 17.928. Based on the Klassen typology classification, only Tapin District is in the category of high developed and fast growing region. The output on the Pearson analysis correlation shows that there is a non-significant positive correlation between economic growth and income inequality. Furthermore, South Kalimantan Province does not support on the Kuznets hypothesis for the period 2011-2019.

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