Search results

This paper aims to measure the change and the sources of change in total factor productivity (TFP) of the Indian non-life insurance sector over the period 2005–2016.

This study employs the bootstrapped Malmquist index (MI) to assess the changes in the TFP and adopts a decomposition approach proposed by Balk and Zofío (2018). Moreover, it utilises truncated regression to identify the determinants of the TFP. In addition, it employs Wilcoxon-W test and t-test to scrutinise the difference between the state-owned and the private insurers in terms of variations in TFP and its various components.

The results divulge a miniature improvement in TFP of the insurance sector, which is primarily attributable to the improvement in scale efficiency (economies of scale). The results also reveal that there are no significant TFP differences across the ownership. However, private insurers have better scale efficiency and lower input-mix efficiency than state-owned insurers. In addition, the results unveil that size, diversification and reinsurance have a negative impact on the TFP, while age has a positive impact on it.

The results may help the policymakers to frame new consolidation policies. Moreover, the findings may guide the decision-makers of the Indian non-life insurance companies to abate inefficiency and improve TFP.

This study estimates bias-corrected changes in TFP and efficiency in the non-life insurance sector. Moreover, it adopts an elaborated decomposition of the MI to identify the true sources of change in the TFP.

The purpose of this paper is to identify the effects of recent demographic transition and rising labor costs on agricultural production structure and pattern in China during 1998-2012.

The authors, first, theoretically discuss the effects of changing relative input prices due to rising labor cost on producers’ decisions regarding input mix (substitution effect), output level, and product quality (output effect). A logarithmic mean Divisia index decomposition method is then applied to empirically identify these effects at aggregated levels, followed by an analysis based on the visualization of land use indicators on changing cropping patterns across Chinese provinces.

The authors find that tightened effective agricultural labor supply and rises in rural labor costs are associated with divergent changes in input mixes and output choices across products. Producers of land-intensive products focusing more on input mix adjustment, while those of labor-intensive products seem to more likely to adjust output choices. Producers’ adaption strategies also varied across Chinese provinces due to natural conditions, leading to shifts and concentrations in the regional distribution of agricultural products, with lower-value bulk products concentrating in the plain areas, whereas higher-value horticulture products increasingly prevailing in sloped areas.

This paper illustrates how adjustments in input mixes and output choice in Chinese agriculture counteracted disadvantages caused by rising labor costs and how such adjustments are product and region specific. Based on these observations, implications regarding further innovations in production technology and institutional arrangements needed within China’s agricultural sector are highlighted in the paper.

Nearly all international trade takes place in middle products, rather than in finished goods as it is assumed in most models of international trade theory. Recognition of this fact has some far-reaching consequences for the measurement of real value added, real domestic income, and productivity, and it brings forward the role of a number of related, yet distinct, key price ratios: the terms of trade, the real exchange rate, and the trading gains. Production theory, rather than consumer theory, is therefore the appropriate setting for analyzing issues such as openness, trade imbalances, and income distribution.

An informal survey conducted by Arthur D. Little, Inc., about three years ago showed that there were 200 corporations in the United States that, at one time or another, have used input‐output in some form in their corporate planning work. Of these 200 corporations, all of which have sales in excess of $500 million annually, 60 firms indicated that they used input‐output regularly and intended to continue to do so. From some other informal questionnaires that ADL circulated among some 50 or so major United States' corporations for whom it had undertaken input‐output studies, it was found that input‐output analysis was typically used in connection with forecasting work. A few other types of application have been made that tie directly into corporate planning.

Considerable interest has been shown in recent years in the calculation of regional income and/or employment multipliers. Their role in the formulation and evaluation of regional policy has been stressed by Wilson (1968) and some writers have been prepared to suggest that high levels of leakage and consequent low multipliers are causes of economic decline or slow growth in the peripheral regions just as much as are economic structure or locational disadvantages (Thirlwell, 1972). The early approaches to the calculation of income or employment multipliers generally used aggregate data on employment, where data on output were not available, national input—output tables to identify input mixes and generalised economic base concepts to distinguish local and nonlocal purchases and sales (Archibald, 1967; Brown et al, 1967; Steele, 1969). More recent work, however, had identified another approach, forsaking the use of aggregated national data sets and employing intensive survey methods of individual industrial plants, such as Greig's study of the pulp and paper mills at Fort William (1971), of educational establishments such as universities (Brownrigg, 1973; Lewes and Kirkness, 1973) or of service sectors such as tourism (Blake and MacDowell, 1967). More recently Lever (1974a) has introduced a more rigorous comparative method into the study of individual manufacturing establishments.

Input‐output modeling can accurately forecast the benefits associated with corporate real estate projects. This paper aims to address the economic and employment impact analysis practices used in input‐output modeling and identifies resources for corporate real estate executives when working with community groups and public officials. By understanding this topic, corporate real estate executives can more effectively demonstrate the value of corporate activities to a community. An impact analysis case study is presented that includes an example of economic impact report content. Input‐output modeling is an effective analytical tool for corporate real estate site selection, facilities expansion, and other community relations projects. This study addresses the major issues in corporate/community relationships and focuses on the corporate need to demonstrate project contributions to community economic vitality. As political, special interest, and public views about business expansion and development harden, corporate real estate executives and specialists need to utilize effective tools to balance the debate.

This study presents a review of input‐output economic modeling techniques, application of the model, key terms, a case study of a $2.1 billion expansion project, and a sample outline of an impact analysis report. This approach provides a good conceptual framework, terms, and the application of an economic and employment impact approach to measuring the total contribution of corporate real estate activities in a community or region.

Demonstrates methods measuring economic and employment multipliers resulting from direct, indirect, and induced corporate project impacts. The findings will assist professionals responsible for corporate/community relations by enhancing their understanding of economic impacts.

This paper presents an overview of an effective modeling technique that can be used to accurately estimate the community economic and employment contributions resulting from a new corporate real estate project. Emerging corporate/community relations issues are discussed and resources are identified.

The purpose of this paper is to present estimates of the maximum potential import leakage effect (decrease in the multipliers) as a result of the U.K.'s joining the E.E.C. The 1970 U.K. input‐output model was used. As a first step the domestic input coefficient matrix was adjusted for changes in the relative price of domestic inputs under the assumption that all import duties on competitive imports from the E.E.C. were eliminated. Considerable variation in the ranking of each endogenous sector according to its leakage coefficient for output, income, and employment was found.

The purpose of this paper is to reveal the dynamics of the Greek energy sector. As energy sectors contribute substantially to a national economy and stimulate national output and employment, it is important to identify their upward and downward linkages and interrelations with the other sectors of the economy.

To do this and capture such relations in the economy, a general equilibrium model is used. In specific, input–output (I–O) analysis is used and a model is specifically built for the Greek economy to examine in detail the energy sectors. Multiplier and linkage analysis is performed to assess their dynamics in terms of output, household income and employment.

Results indicate that the three energy sectors’ multipliers and elasticities, though are not ranking in the first places, are enough high indicating their strong linkages in the economy and their potentials to enhance the economy’s total output, employment and household income.

Further disaggregation of the economy’s energy sectors is needed to make clearer the separation among renewable and non-renewable sector, to identify and compare the dynamics and contribution of each category in the economy. Additionally, an environmental I–O model would indicate consequences on the environment and not just pure economic benefits.

Through the analysis, it can be seen that energy sectors and secondary energy products have the ability to drive a country’s economic activity through exports and intersectoral linkages, even if it is not a crude petroleum producing economy. Thus, knowledge of the economic impacts of such sectors is a valuable information.

The current study provides significant information of an economy’s energy sectors regarding their ability to support economic activity and employment. A general equilibrium model is used, examining the whole economy, to assess direct and indirect interrelationships.