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This paper aims to analyze the superior economic sector by looking at its contribution to the gross regional domestic product (GRDP) of East Kalimantan Province, the economic base, the multiplier effect and the strength of inter-sectoral linkages.

This study was designed through two research approaches, namely, quantitative and qualitative method. This is intended to complement the results of the phenomenon under study and to strengthen the analysis. Secondary data were analyzed by the level of contribution of the economic sectors to the GRDP, and the base sector was determined through the location quotient approach. The two methods of calculation helped to reveal the dominant economic sectors in East Kalimantan Province. The Input Output (IO) Table in 2016 was made up dated from the 2009 IO Table to be used as a basis for building Social Accounting Matrix data or known as the East Kalimantan Regional Socio-Economic Balance System (SEBS) (a matrix of 49 × 49 sectors) in 2017 by using the RAS method. To be consistent, these SEBS data are then aggregated so all commodities are combined into economic sectors used to determine the leading sector on the East Kalimantan Province SEBS in 2016 (a matrix of 41 × 41 sectors).

Based on the assessment by scoring of the criteria for determining the leading economic sectors in East Kalimantan, i.e. the contribution of the economic sector to GRDP, the economic base, the multiplier effect (income, production factor, and output) and the linkages between sectors, both backward and forward linkage, shows the ten leading sectors as follows: the trade; paper and printed goods; financial institutions and other financial services; fertilizer; chemical and other rubber products; hotel and restaurant; general government; fisheries; excavation; and mining without oil and gas.

Similar research has never been done before in East Kalimantan; this is one of the originalities of this present study. No previous study has comprehensively studied the mediating effects of tourist value perception on the determination of economic sector, especially in Kalimantan, Indonesia.

The primary purpose of this paper is to put forward a framework grounded in new institutional sociology (NIS) theory that examines the impact of national competition policy on the design and implementation of a balanced scorecard (BSC) in a government‐owned electricity corporation in Australia. It examines the importance of the rational analytical deliberation of legitimacy as a fundamental accompaniment to isomorphism in the continuing development of the new performance management system.

A single exploratory/descriptive case study with embedded multiple unit analysis is used in order to examine the adoption of a BSC as an example of the process of evolution of a new initiative. It uses DiMaggio and Powell's concept of isomorphism to explain the initial adoption of the BSC.

The paper highlights the importance of the deliberation of both rational analytical approaches and legitimacy as a fundamental accompaniment to isomorphism in the continuing development of accounting systems in the public sector.

These results provide useful insights into the criticism of NIS theory, that is, that it does not provide scope for organisations to adopt rationally technical practices as well as isomorphic behaviour for legitimacy.

The purpose of this study is to examine the effects of agricultural policy reform – specifically the change from market to direct payment support – on income variability of Swiss farming households. In addition, the observed heterogeneity in income risks across farms and time is explained in terms of farm and regional characteristics.

Unbalanced farm‐level panel data of the Swiss farm accountancy network (FADN) are used to construct coefficients of variation of five‐year overlapping time intervals for total household income and gross farm revenues over the period 1992 to 2009. Linear fixed effect models are applied to measure the effect of specialization, off‐farm income, direct payments, farm size, and liquidity on the variability of gross farm revenues and household income in the valley, hill, and mountain regions.

The switch from market‐based support to direct payments has decreased the variability of farm revenues and household income. The strong reliance on direct payments serves as insurance for most farmers and reduces both household income and revenue risk. Off‐farm income can be used by farmers to reduce household income risk but it increases revenue risk in the valley regions. In all of the regions considered, farm size has a positive effect on household income risk and a negative effect on revenue risk. A high degree of specialization increases both gross revenue and household income risk. Potential revenue insurance contracts should specify farmers' off‐farm employment, the degree of specialization, farm size, and regional specific risk profiles.

This paper assesses the complementary effects of specific farm characteristics and risk management strategies with regard to both farm revenue and household income risk. Influences of agricultural policy changes on income risks are also empirically assessed at different spatial scales.

The contribution of the different sectors in gross domestic product (GDP) growth significantly implies the relative strength of the sectors over the country. The countries are classified by world agencies in terms of regional variation as well as income classification on the basis of the topographical location and international economic strength. This chapter considers the contribution of allied sectors over GDP considering manufacturing as a separate entity under the regional variation and different income classifications. It uses World Bank recent data set of 2010 and 2018 for cross-sectional analysis of GDP growth incorporating regional variation and income classification as discrete variables. Region-specific and income classification–specific regression identifies the variations in scores and changes in importance of different allied sectors.

Reviews a number of contributions to migration analysis. Discusses some of the rudiments of migration modelling before turning attention to specific applications. Pays particular attention to articles which have modelled the interaction between labour and housing markets.

The existence of the regional Kuznets curve, i.e. an inverted U-shaped relationship between regional disparity and economic development is widely debated and discussed. The bell-shaped curve of the spatial growth process where during the initial phase inequality increases and then reduces is theoretically supported by Myrdal (1957), Hirschman (1958), and Williamson (1965). It becomes important to understand regional Kuznets curve globally. Understanding the relationship between regional disparity and economic development becomes essential for public policy for balanced regional growth.

Regional Kuznets Curve which is an inverted U-shaped relationship between regional disparity and economic development is not a new phenomenon. Theoretical framework by Myrdal (1957), Hirschman (1958), and Williamson (1965) support the an inverted U-shaped relationship. To understand the relationship between regional disparity and economic development, the authors investigate the regional Kuznets curve by using data for 184 countries and 1765 subnational regions. Using parametric, semi-parametric, and non-parametric, it is found that there exists an inverted U-shaped relationship between regional disparity and economic development. The presence of the regional Kuznets curve is observed. As the theoretical framework suggests, regional inequality increases with income initially and decreases after attaining a certain level of income. This study identifies two stages of divergence-convergence where in the first stage, divergence across regions in a country happens with increasing income and in the later stage, convergence across regions in a country occurs with increasing income.

Using the parametric approach (panel data analysis), semi-parametric and non-parametric approaches, it is found that there exists a regional Kuznets curve. It is found that there exists an inverted-U relationship between regional inequality and per capita GNI. This suggests that the divergence-convergence passes through two stages. In the first stage, divergence across regions in a country happens with increasing income while in the later stage convergence occurs.

This research work has done three important things which fill the research gap that exists in the literature: (1) constructing the Gini coefficient to measure the regional inequality for 184 countries using 1765 subnational regional data; (2) using a parametric approach (panel data analysis) to understand the regional Kuznets phenomenon and (3) using a semi-parametric approach and non-parametric approach to understand the regional Kuznets phenomenon.

EU countries, including those in Central and Eastern Europe, seem to have increasingly similar economies, allowing for the study of real convergence as a process of equalising income levels (measured by GDP per capita). Studies of income convergence in the European Union also have a regional dimension and often focus on convergence at the NUTS2 or NUTS3 regional level. The level of development and income in Polish regions differ significantly. The regional policy implemented at the national and EU level focuses on reducing these differences.

The main aim of the chapter is to analyse the income convergence process among regions in Poland and verify the effectiveness of regional policy implemented at the national and EU level.

The study uses Barro type regression for panel data, log t convergence test, and club clustering algorithm introduced by Phillips and Sul to identify patterns of club convergence in Polish regions. The data used for the study is the Local Data Bank provided by Statistics Poland, which includes gross domestic product per capita at the NUTS-3 level for 73 Polish regions over the period of 2000–2020.

The results of the study indicate a very weak convergence process for all Polish NUTS-3 regions and suggest a club convergence. The club convergence is characterised by regions with similar income levels clustering together. The regional distribution of clubs is similar to the regional distribution of income. The study's findings provide important insights into the effectiveness of regional policy in Poland and suggest that policymakers need to focus on policies that promote catch-up growth in less developed regions. The study also highlights the importance of supporting the most developed regions in the country as they can play a crucial role in driving the country's economic growth and prosperity.

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.