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“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

China's agricultural sector has developed very rapidly in the past 30 years and agricultural technological progress is deemed one of the most substantial factors leading to its rapid agricultural GDP growth. The purpose of this paper is to assess the impacts of China's agricultural technological changes on its regional disparity.

The study uses a computable general equilibrium (CGE) model of multiple regions and multiple sectors to investigate the impacts of agricultural technological changes on regional disparity. The CGE model structure includes production side, demand side, and market clearing conditions.

The results suggest that agricultural technological changes significantly reduced China's agricultural regional disparity and accounted for 40 percent reduction in agricultural regional disparity in terms of agricultural GDP per capita. Agricultural technological changes, however, led to an increase in China's overall regional disparity and accounted for 6 percent increase in its overall regional disparity in terms of per capita GDP.

China's GDP has been growing very rapidly since 1978 and agricultural GDP has been playing a decreasing role in China's overall GDP. Regional disparity in non‐agricultural GDP per capita overweighted the equalization of agricultural GDP per capita. The results imply that the Chinese government should resort more to non‐agricultural development to fight against the enlarging regional disparity.

China's agricultural technological changes have led to an increase in China's overall regional disparity while the changes have significantly reduced China's agricultural regional disparity.

The purpose of this paper is to investigate the economic impacts of intra- and inter-regional water reallocation on sectoral transformation and economic growth.

A multi-sector, Ramsey-type growth model is fit to Chinese data and used to perform policy experiments.

An intra-regional water reallocation increases per capita gross domestic product (GDP) by about 1.5 percent per year over the period 2000-2060. The aggregate potential welfare gain due to this reallocation is 1002.51 billion RMB. Transferring water from southern to northern China via the South-North Water Transfer Project, on average, has a negligible impact on per capita GDP over the period 2000-2060, but aggregate welfare increases by 557.23 billion RMB. Combining intra-regional and inter-regional water reallocations, on average, increases per capita GDP by 0.38 percent per year over the period and the aggregate welfare gain from this combination is 1148.06 billion RMB. Each policy scenario has implications for long-run regional production patterns: In an intra-regional reallocation scenario, Southern China produces almost 70 percent of aggregate GDP, in the inter-regional transfer it produces 58 percent of aggregate GDP, while in a combined intra/inter-regional reallocation it produces 55 percent of aggregate GDP.

This analysis can serve as a template for developing a useful planning tool that one can fit to national or regional data and use to examine a variety of policy relevant questions.

This paper uses a method devised by Geary and Stark to estimate regional GDPs for 24 Swedish provinces 1855–2000. In empirical tests, we find that the Swedish estimations yield results of good precision, comparable to those reported in the international literature. From the literature, we generate six expectations concerning the development of regional GDPs in Sweden. Using the GDP estimations, we test these expectations empirically. We find that the historical regional GDPs show a high correlation over time, but that the early industrialization process coevolved with a dramatic redistribution of productive capacity. We show that the regional inequalities in GDP per capita were at their lowest point in modern history in the early 1980s. However, while efficiency in the regional system has never been as equal, absolute regional differences in scale of production has increased dramatically over our investigated period. This process has especially benefited the metropolitan provinces. We present detailed sources of our estimations and also sketch a research agenda from our results.

This chapter does three things. First, it estimates regional gross domestic product (GDP) for three different geographical levels in Switzerland (97 micro regions, 16 labor market basins, and 3 large regions). Second, it analyzes the evolution of regional inequality relying on a heuristic model inspired by Williamson (1965), which features an initial growth impulse in one or several core regions and subsequent diffusion. Third, it uses index number theory to decompose regional inequality into three different effects: sectoral structure, productivity, and comparative advantage.

The results can be summarized as follows: As a consequence of the existence of multiple core regions, Swiss regional inequality has been comparatively low at higher geographical levels. Spatial diffusion of economic growth occurred across different parts of the country and within different labor market regions. This resulted in a bell-shaped evolution of regional inequality at the micro regional level and convergence at higher geographical levels. In early and in late stages of the development process, productivity differentials were the main drivers of inequality, whereas economic structure was determinant between 1888 and 1941. The poorest regions suffered from comparative disadvantage, that is, they were specialized in the vary sector (agriculture), where their relative productivity was comparatively lowest.

This chapter examines the effects of financial deepening on the sources of economic growth in Russia. Previous empirical literature based on cross-country studies presented the evidence that in developing countries financial development affects capital accumulation more than productivity growth. We tested this proposition with panel data from 75 regions of Russia’s regions between 2008 and 2015 using system generalized method of moments techniques. Our results are not consistent with this proposition: the effect of finance on output growth occurs primarily through productivity; the positive influence of finance on capital accumulation is less significant, which is more typical for developed countries. This outcome can be explained by the fact that structural problems in Russia and developed countries are somewhat similar. More helpful for Russian economy are tools that would help business get a more profound effect from efforts to promote innovation and boost productivity than from increasing investment by expanding credit.

The purpose of this paper is to simulate the function of foreign trade, foreign direct investment (FDI) and regional gross domestic product (GDP) in China, explore how these two variables affect regional GDP together and provide evidence to export‐led growth (ELG) and FDI‐led growth.

Artificial neural network (ANN) is introduced in the model. This nonlinear and adaptive computation obtains a three‐dimension function that is different from linear models.

New evidence was found for ELG and FDI‐led growth with data of 28 regions in China in the period of 1994‐2005. The simulation reveals that with foreign trade and FDI scale varying, marginal GDP in different Chinese regions is positive. Because of the nonlinear system, a wave pattern of marginal GDP was found and an optimal scale of foreign trade and FDI for Chinese regions. Results in the simulation also indicate the possibility of economic deconcentration in some Chinese regions.

New evidence is provided for ELG and FDI‐led growth. Different from conventional methods, ANN model as a nonlinear system is introduced in the study in which optimal scale of foreign trade and FDI for Chinese regions is obtained.

The high-speed rail network can lead to the transformation of the tourism industry, as well as the regional economy. In the present study, a reasonable method was developed to assess the contributions of high-speed rail network to the development of tourism and economy in a Chinese region known as the “1 + 8” city tourism circle.

The method proposed here combines not only tourism revenue but also regional economy in a MGM (1, n) gray model, and it studies the tourist and economic output of this tourism circle before and after the high-speed rail network’s construction using an advanced “with and without comparison” method.

By using this method, the accuracy of the prediction of the contribution rate of high-speed rail network is improved. We found that in the “1 + 8” city tourism circle, the high-speed rail network positively contributes to increase of the tourism arrival and tourism revenue. Furthermore, regional economy significantly grows under the impact of the high-speed rail network.

The “1 + 8” city tourism circle is studied as a closed system in this paper, and the authors focus on the economic associations between the cities in the circle by ignoring the impact from outside this circle. This treatment means, simplifies and enables the feasibility of this study, but it virtually leads to the deviation of outcomes between this study and the practical.

For theoretical values, by studying a normal Chinese inland region, this study reconfirmed the positive impact of high-speed railway empirically. In the meantime, this study developed an improved method by introducing gray theory models to “with and without comparison” method to calculate the contribution of high-speed railway to the regional tourism and economy development. Such method simultaneously incorporates the indexes of regional tourism income and regional GDP simultaneously. It is direct and convenient as it can achieve accuracy requirements using only a small amount of data, and it reconciles more with reality by considering the interaction of the outcomes of tourism and economy.

For practical values, using the proposed method, a direct and convenient calculation of the contributions of high-speed railway to many other regions can be achieved if the data of the outcomes of tourism and economy can be obtained. In such a way, the regions that really need high-speed railway to stimulate their development can be distinguished from regions whose high-speed railway is under blind construction. Thus, the government may take actions to reassess some uneconomic high-speed railway projects without discouraging the construction of high-speed railway in other regions. The authors believe that this is important not only for China but also for many other countries with high-speed railway projects.

This study develops a reasonable method of assessing the contribution of high-speed rail to regional tourism and economic development. Using this method, this study confirmed that high-speed rail indeed positively impacts the regional development.

抽象

高速铁路（HSR）网络可以带动旅游业乃至区域经济的转型。本研究构建了一个合理的方法来评估高铁网络对中国 “1+8” 城市旅游圈的旅游产业和区域经济发展的贡献。

本文提出的方法将旅游收入和区域经济的指标结合在一个MGM（1，n）灰色模型中，并采用先进的 “有无比较法” 来研究高铁网建设前后该旅游圈的旅游和经济产出。

利用该方法，可更精准地预测高速铁路网的贡献率。研究发现，在“1+8” 城市旅游圈中，高铁网络对游客到访量和旅游收入的增加起到了积极的促进作用。此外，在高铁网络的影响下，区域经济得到了显著增长。

本文将 “1+8” 城市旅游圈作为一个封闭的系统进行研究，忽略了外部因素的影响，而重点研究旅游圈内城市之间的经济联系。这种处理方法简化了本研究的过程，增加了研究的可行性，但实际上导致了本研究结果与现实存在偏差。

就理论上而言，本文通过对一个典型的中国内陆地区展开研究，从经验上重新确认了高速铁路的积极影响。同时，将灰色理论模型引入到“有无比较法” 中，提出了一种改进方法，用以计算高速铁路对区域旅游业和经济发展的贡献。该方法同时结合了区域旅游收入和GDP指标，十分直接方便，只需要少量数据就可以达到准确的要求；并且由于它考虑到了旅游业和经济的相互作用，更符合实际。

就实用价值而言，只需获得旅游业和经济成果的数据，即可利用该方法直接方便地计算高铁对众多其他地区的贡献。这样一来，就可以将真正需要高铁来刺激发展的地区与盲目建设高铁的地区区分开来。由此，政府可以对一些不经济的高速铁路项目进行重新评估，而不妨碍其他地区的高铁建设。笔者认为，这对中国乃至其他许多国家的高铁项目建设来说是很重要的。

本研究提出了一种合理的方法来评价高铁对区域旅游业和经济发展的贡献。利用这一方法，本研究证实了高铁确实对区域发展产生了积极的影响。

Resumen

La red de ferrocarril de alta velocidad (HSR) puede liderar la transformación de la industria turística, así como la economía regional. En el presente estudio, se ha desarrollado un método para evaluar las contribuciones de la red ferroviaria de alta velocidad, en el desarrollo económico en una región China conocida como el círculo de turismo urbano “1+8”.

El método que se propone combina, no solamente los ingresos por turismo, sino también la economía regional en un modelo MGM (1,n) gris, y estudia la producción turística y económica de este círculo turístico, antes y después de las construcción de la red ferroviaria de alta velocidad utilizando un método “con y sin comparación”.

Usando este método, se mejora la predicción de la tasa de contribución de la red de alta velocidad. Nosotros descubrimos que en el círculo “1+8”, la red ferroviaria de alta velocidad contribuye positivamente al aumento en la llegadas de turistas y los ingresos por turismo. Además, la economía regional, crece significativamente bajo el impacto de esta red.

En este artículo, el círculo de turismo urbano “1+8”, se estudia como un sistema cerrado, se enfoca en la asociación económica entre las ciudades, pero ignorando el impacto desde fuera. Este tratamiento significa simplificar y habilitar la viabilidad de este estudio, pero prácticamente conduce a la desviación de los resultados entre este estudio y la practica.

El valor teórico, estudiando una región normal del interior de China, reconfirma el impacto positivo del ferrocarril de alta velocidad. Mientras tanto, este estudio desarrolla un método mejorado, introduciendo los modelos de “teoría gris” en los métodos “con y sin comparación”, para el calculo de la contribución del ferrocarril de alta velocidad en el desarrollo de la economía regional y turística. Además y simultáneamente, el método incorpora los índices de ingresos del turismo regional y el PIB. Esto es directo y conveniente, ya que puede cumplir con los requisitos de precisión, usando solamente una pequeña cantidad de datos, y concilia más con la realidad considerando la interacción del resultado del turismo y economía.

Para los valores prácticos, usando el modelo propuesto, se puede lograr un cálculo directo y conveniente de las contribuciones del ferrocarril de alta velocidad a muchas otras regiones, y se pueden obtener datos del impacto del turismo y la economía. De esta manera, las regiones que realmente necesiten el ferrocarril de alta velocidad para estimular su desarrollo, se podrán diferenciar de aquellas otras que lo planteen a ciegas. Por lo tanto, los gobiernos deberían tomar acciones para reevaluar algunos proyectos ferroviarios de alta velocidad ineficientes, sin desalentar la construcción de los mismos en otras regiones. Los autores creen que esto no sólo es importante para China, sino también para muchos otros países con proyectos de ferrocarriles de alta velocidad.

Este estudio desarrolla un método razonable de evaluación de la contribución del ferrocarril de alta velocidad, en el desarrollo de la economías regionales y turísticas. Usando este método, este estudio confirma que el ferrocarril de alta velocidad añade impactos positivos en el desarrollo regional.

Although COVID-19 has caused a global slowdown, the magnitude of GDP losses appears to vary across countries. This study considers the question: could digital finance help to mitigate the adverse impact of COVID-19 on GDP? Countries with higher levels of digital financial inclusion are found to experience less fall in GDP, whereas countries relying more on cash transactions experience a greater GDP decline. These results suggest that digital financial inclusion might play a key role in mitigating the adverse impact of COVID-19 on GDP.

In this chapter, I estimate French regional gross value added per capita in constant terms between 1872 and 1911, to better understand regional inequalities within the country and to allow comparison with other European regions. To this end, I develop a novel regional income estimation model, where income is specified as a function of shifts in sectoral employment structure. Its conceptual basis is uncontroversial, its data requirements are low, and it withstands robustness checks.