Using the spatial autoregressively distributed lag model in assessing the regional convergence of per-capita income in the EU25

2008 ◽  
Vol 87 (3) ◽  
pp. 371-384 ◽  
Author(s):  
Alicja Olejnik
2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.


2020 ◽  
Vol 14 (5) ◽  
pp. 711-733 ◽  
Author(s):  
Rajesh Sharma ◽  
Pradeep Kautish

Purpose Over the years, India has witnessed irregular FDI inflows. Therefore, this study aims to explore the asymmetric impact of per capita income, final consumption expenditure, globalization index and exchange rate on FDI inflows in India. Design/methodology/approach Using the nonlinear autoregressive distributed lag bounds framework and unknown structural break, the study investigates the impacts of selected macroeconomic variables in driving FDI inflows in India during the study period (1979-2016). Findings The outcomes of the study confirm the asymmetric relationship between FDI inflows and its determinants during the study period. The results have confirmed that the improvement in per capita income, private consumption expenditure, globalization index and currency value appreciation play a crucial role in increasing FDI inflows in India. In contrast, the downside movements in the volume of consumption expenditure, globalization index and depreciation of the currency value in relation to the trade partners result in reducing the volume of FDI inflows in the long run. Originality/value For determining FDI inflows, previous studies have considered the overall impact of its potential determinants, which may provide partial information about the phenomenon. The adopted nonlinear approach highlights that both the types of fluctuations (i.e. upside and downside) in the independent variables may affect FDI inflows differently and substantially. The nonlinear association between FDI and selected determinants may be vital in formulating a long-term policy.


2022 ◽  
Vol 4 (1) ◽  
pp. 163-183
Author(s):  
Bea Bringas ◽  
Lance Jared Bunyi ◽  
Carlos L. Manapat

Over the past century, natural disasters have been terrorizing the economy by causing human fatalities and damaging infrastructure and production inputs. The Solow growth model suggests that natural disasters adversely affect gross domestic product (GDP) since these disrupt the production of inputs. On the contrary, the Schumpeterian growth theory provides an explanation behind the positive effect of natural disasters on economic growth. This study analyzed the relationship between natural disasters (i.e. earthquake, flood, and storm), economic activities (i.e. foreign aid and foreign direct investment) and GDP per capita income in the Philippines from 1990 to 2019. This study employed a multivariate analysis, time series regression, and autoregressive distributed lag (ARDL) approach. The results revealed a complex relationship between GDP per capita and the regressors. In the short run, the independent variables have a negative and significant relationship with the country’s per capita income. On the contrary, only FDI has a significant long-run relationship with the economy of the Philippines. The results highlight the Philippines’ need for comprehensive disaster plans and to lessen its dependence on foreign and external factors.


1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.


1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer

The current rapid population growth in many developing countries is the result of an historical process in the course of which mortality rates have fallen significantly but birthrates have remained constant or fallen only slightly. Whereas, in industrial countries, the drop in mortality rates, triggered by improvements in nutrition and progress in medicine and hygiene, was a reaction to economic development, which ensured that despite the concomitant growth in population no economic difficulties arose (the gross national product (GNP) grew faster than the population so that per capita income (PCI) continued to rise), the drop in mortality rates to be observed in developing countries over the last 60 years has been the result of exogenous influences: to a large degree the developing countries have imported the advances made in industrial countries in the fields of medicine and hygiene. Thus, the drop in mortality rates has not been the product of economic development; rather, it has occurred in isolation from it, thereby leading to a rise in population unaccompanied by economic growth. Growth in GNP has not kept pace with population growth: as a result, per capita income in many developing countries has stagnated or fallen. Mortality rates in developing countries are still higher than those in industrial countries, but the gap is closing appreciably. Ultimately, this gap is not due to differences in medical or hygienic know-how but to economic bottlenecks (e.g. malnutrition, access to health services)


This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.


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