scholarly journals House Prices, per Capita Income and Real Estate Planning Investment—An Empirical Study Based on Anhui Province

2020 ◽  
Vol 08 (06) ◽  
pp. 37-43
Author(s):  
Yingying Zhang
Keyword(s):  
Real Estate ◽  
Empirical Study ◽  
Capita Income ◽  
House Prices ◽  
Anhui Province ◽  
Per Capita Income ◽  
Estate Planning ◽  
Per Capita

scholarly journals The Diversification of Communes’ Revenue from Real Estate across Provinces

2016 ◽  
Vol 24 (2) ◽  
pp. 36-49
Author(s):  
Maria Trojanek ◽  
Wojciech Kisiała
Keyword(s):  
Real Estate ◽  
Capita Income ◽  
Spatial Differentiation ◽  
Per Capita Income ◽  
Research Procedure ◽  
Per Capita

Abstract The aim of this paper is to identify the spatial differentiation of revenue from real estate in communes’ budgets across Polish provinces. We discuss property fees and taxes which feed into the communes’ budgets. We also present the assumptions of the research procedure which enabled us to distinguish classes of provinces according to revenues from real estate. In a further section of the paper, we analyze per capita revenues from real estate and the share of these revenues in the own income of communes among the distinguished classes of distance from the province capital. The results of our study show that, in the years under discussion, there are clear differences between spatial regularities in both scopes of analysis (the level of per capita income from real estate and the share of revenue from properties in the communes’ own income).

scholarly journals Micro Financing and Economic Development: A Sectorial Microcredit Study from Nigeria

2021 ◽  
Vol 04 (08) ◽  
Author(s):  
ZAAGHA, Alexander Sulaiman ◽  
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Capita Income ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Least Square ◽  
Series Data ◽  
Per Capita Income ◽  
Integration Test ◽  
Per Capita

This study examined the effect of sectorial microcredit allocation on Nigeria economic development. Time series data were sourced from Central Bank of Nigeria Statistical Bulletin from 1992-2019. Nigeria per capita income was proxied for dependent variables while microcredit to agricultural sector, mining and querying, manufacturing sector, real estate and construction and transport and communication were proxies for independent variables. The study employed descriptive statistics and multiple regression models to estimate the relationship that exists between sectorial microcredit allocation and economic development. Ordinary Least Square (OLS), Augmented Dickey Fuller Test, Johansen Co-integration test, normalized co-integrating equations, parsimonious vector error correction model and pair-wise causality tests were used to conduct the investigations and analysis. The study found that 59 percent variation on Nigeria per capita income can be traced to variation on microcredit allocation to the various sectors of the economy. microcredit to transport and communication have positive and no significant effect, microcredit to real estate and construction have negative but no significant effect, microcredit to manufacturing sector have negative and significant, microcredit to mining and querying have positive and significant effect while microcredit to agricultural sector have positive and significant effect on Nigeria per capita income. From the findings, the researcher concludes that microcredit allocation have significant effect on Nigeria economic development. It recommends that for re-introduction of the abolished compulsory sectorial lending operation and sectorial reforms to attract microcredit. Microfinance banks should be encouraged to increase their branches so as to reach out and provide loans to more clients in order to achieve greater investment purposes. Government should further encourage the activities of micro finance banks by creating enabling environment so that they can further support the growth of business enterprises in Nigeria.

The Problem of Agricultural Taxation in West Pakistan and an Alternative Solution: A Comment (Notes & Comments)

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi
Keyword(s):  
Capita Income ◽  
Agricultural Sector ◽  
Central Government ◽  
Policy Implications ◽  
Farm Size ◽  
Per Capita Income ◽  
Tax Rate ◽  
Water Rate ◽  
Per Capita ◽  
The Government

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.

A Successful Population Policy: Potentials and Constraints (Distinguishedl Lecture)

1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Population Growth ◽  
Capita Income ◽  
Population Policy ◽  
Mortality Rates ◽  
Per Capita Income ◽  
Access To Health Services ◽  
Industrial Countries ◽  
Per Capita

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)

Income-Based Poverty among Non-Farm Households in Rural Punjab

2020 ◽  
pp. 204-210
Keyword(s):  
World Bank ◽  
Capita Income ◽  
Poverty Line ◽  
Farm Households ◽  
Farm Household ◽  
Expert Group ◽  
Per Capita Income ◽  
Service Category ◽  
Self Employment ◽  
Per Capita

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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