Analysis of spatial differences in global regional human development index under planetary pressure and decomposition study of driving factors.

To urge nations worldwide to implement robust measures for enhancing human development and mitigating the pressures exerted on the planet by human activities in pursuit of sustainable development, this study encompasses 154 countries globally, using the seven major regions as focal points. Leveraging the Planetary Pressure Adjusted Human Development Index (PHDI) proposed by the United Nations Development Programme on December 15, 2020, as a metric for human development levels, this paper aims to standardize and internationally compare human development data from 1990 to 2021. Subsequently, employing the Theil index, the study assesses the global human development status across the seven regions to analyze spatial disparities in PHDI. Lastly, a comprehensive Generalized Diese Index Method (GDIM) is constructed to accurately reflect absolute and latent factors, dissecting the driving forces impacting global PHDI. The study explores critical pathways for high-quality human development within the harmonious coexistence between humanity and nature. It validates the robustness of GDIM results through a stepwise regression. Research findings indicate varying levels of PHDI development across regions, with a distinct spatial hierarchy evolving: higher human development levels in Europe and Eastern Europe, favorable levels in North and South America, similar levels in Oceania and Asia, and significant improvement potential in Africa. As globalization progresses, overall differences in PHDI gradually decrease; however, disparities persist between and within regions. Economic, technological, and per capita welfare effects consistently positively drive PHDI. In contrast, environmental pressure effects, social effects, per capita value-added effects, and output carbon intensity effects consistently exert hostile driving forces. Population size effects on PHDI show a fluctuating trend. Moreover, in terms of cumulative contribution values, the top three contributors to driving forces are economic, technological, and per capita welfare effects.

Temporal-spatial differences in and influencing factors of agricultural eco-efficiency in Shandong province, China / Diferenças temporal-espacial e fatores de influência da ecoeficiência agrícola na província de Shandong, China

Based on the panel data of 134 counties (cities and districts) from 1998 to 2017, the temporal-spatial variation characteristics and influencing factors of agricultural eco-efficiency in Shandong Province were analyzed by using various methods, such as the super-efficiency SBM (slacks-based measure) model considering undesired output and the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model, which helps clarify the improvements needed for agricultural eco-efficiency and provides a basis for the development of ecological agriculture in Shandong Province. Results showed the following: (1) During 1998-2017, the agricultural eco-efficiency of Shandong Province showed a fluctuating increasing tendency, but the overall efficiency value wasrelatively low. (2) The agricultural eco-efficiency of Shandong Province had a significant regional disparity, and its spatial agglomeration gradually weakened. The spatial distribution had a sporadic distribution of high value areas at first and then gradually formed the low-high-low-high zonal distribution from west to east. (3) The net income per capita of farmers and the added value of the primary industry had a significantly positive correlation with the agricultural eco-efficiency of Shandong Province, while the mechanization level, the planting area per capita, the level of financial support to agriculture and the planting structure exhibited a mainly negative correlation with the agricultural eco-efficiency of Shandong Province. Moreover, the added value of the primary industry and the financial support to agriculture in the 0.75 quantile had no significant influence on the agricultural eco-efficiency of Shandong Province, and the planting structure in the 0.25 and 0.75 quantiles also had no significant influence.(AU)

Com base nos dados do painel de 134 municípios (cidades, distritos) na província de Shandong de 1998 a 2017, as características de variação espacial e temporal da ecoeficiência agrícola na província de Shandong foram analisadas usando vários métodos, como o modelo SBM (Medida baseada EM estacas) supereficiente. Considerando indesejados produção e modelo STIRPAT (Impactos estocásticos da regressão da população, da afluência e da tecnologia), ajudará a esclarecer a direção da melhoria da eco eficiência agrícola na província de Shandong e fornecerá uma base para o desenvolvimento da agricultura ecológica. Os resultados mostraram que (1) em 1998-2017, a ecoeficiência agrícola da província de Shandong mostrou uma tendência ascendente na flutuação, mas o valor geral da eficiência foi baixo. (2) A distribuição espacial da distribuição esporádica inicial da área de alto valor se formou gradualmente de oeste para leste, distribuição zonal baixo-alto-baixo-alto (3) O lucro líquido per capita dos agricultores e o valor acrescentado da indústria primária foram significativamente correlacionados positivamente com a ecoeficiência agrícola da província de Shandong. O nível de mecanização, a área de plantio per capita, o apoio financeiro ao nível agrícola e a estrutura de plantio, entre eles, o valor acrescentado da indústria primária e o apoio financeiro à agricultura em 0,75 quantil, a estrutura de plantio em 0,25 e 0,75 quantil na ecoeficiência agrícola da província de Shandong não é significativa.(AU)

Temporal-spatial differences in and influencing factors of agricultural eco-efficiency in Shandong Province, China / Diferenças temporal-espacial e fatores de influência da ecoeficiência agrícola na Província de Shandong, China

ABSTRACT: Based on the panel data of 134 counties (cities and districts) from 1998 to 2017, the temporal-spatial variation characteristics and influencing factors of agricultural eco-efficiency in Shandong Province were analyzed by using various methods, such as the super-efficiency SBM (slacks-based measure) model considering undesired output and the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model, which helps clarify the improvements needed for agricultural eco-efficiency and provides a basis for the development of ecological agriculture in Shandong Province. Results showed the following: (1) During 1998-2017, the agricultural eco-efficiency of Shandong Province showed a fluctuating increasing tendency, but the overall efficiency value wasrelatively low. (2) The agricultural eco-efficiency of Shandong Province had a significant regional disparity, and its spatial agglomeration gradually weakened. The spatial distribution had a sporadic distribution of high value areas at first and then gradually formed the "low-high-low-high" zonal distribution from west to east. (3) The net income per capita of farmers and the added value of the primary industry had a significantly positive correlation with the agricultural eco-efficiency of Shandong Province, while the mechanization level, the planting area per capita, the level of financial support to agriculture and the planting structure exhibited a mainly negative correlation with the agricultural eco-efficiency of Shandong Province. Moreover, the added value of the primary industry and the financial support to agriculture in the 0.75 quantile had no significant influence on the agricultural eco-efficiency of Shandong Province, and the planting structure in the 0.25 and 0.75 quantiles also had no significant influence.

RESUMO: Com base nos dados do painel de 134 municípios (cidades, distritos) na província de Shandong de 1998 a 2017, as características de variação espacial e temporal da ecoeficiência agrícola na província de Shandong foram analisadas usando vários métodos, como o modelo SBM (Medida baseada EM estacas) supereficiente. Considerando indesejados produção e modelo STIRPAT (Impactos estocásticos da regressão da população, da afluência e da tecnologia), ajudará a esclarecer a direção da melhoria da eco eficiência agrícola na província de Shandong e fornecerá uma base para o desenvolvimento da agricultura ecológica. Os resultados mostraram que (1) em 1998-2017, a ecoeficiência agrícola da província de Shandong mostrou uma tendência ascendente na flutuação, mas o valor geral da eficiência foi baixo. (2) A distribuição espacial da distribuição esporádica inicial da área de alto valor se formou gradualmente de oeste para leste, distribuição zonal " "baixo-alto-baixo-alto"" (3) O lucro líquido per capita dos agricultores e o valor acrescentado da indústria primária foram significativamente correlacionados positivamente com a ecoeficiência agrícola da província de Shandong. O nível de mecanização, a área de plantio per capita, o apoio financeiro ao nível agrícola e a estrutura de plantio, entre eles, o valor acrescentado da indústria primária e o apoio financeiro à agricultura em 0,75 quantil, a estrutura de plantio em 0,25 e 0,75 quantil na ecoeficiência agrícola da província de Shandong não é significativa.