Note on Lilien and Modified Lilien Index

Ansari, Muhammad Rashid; Mussida, Chiara

doi:10.1177/1536867x1401400211

Cited by 16 publications

(6 citation statements)

References 5 publications

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“…Measuring a relative change, regardless of the considered factor, behavior, effect or performance measured, can be done by adapting the modified Lilien index (Ansari, et al, 2014), according to the following formula: The relative change can be referred to: (i) objects (actors, etc. ); in such case the measure of object is compared against the change in host partition; (ii) partitions: in such case the measure of partition is compared against the change in the entire ecosystem.…”

Section: Archetypes Of Virtual Business Environmentsmentioning

confidence: 99%

Performance-driven evolutionary capabilities in virtual production ecosystems

Strzelczak¹,

Warszawska²

2018

SPSUTOM

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This paper examines possible aids of performance measurement to the evolution in production ecosystems. A conceptual solution is proposed which derives from the potential of exponential technologies, theory and practice. By adopting an ecosystem approach, a twofold setup of performance has been designed that addresses both the performance of actors and the performance of ecosystem. The proposed mechanism applies Big Data and machine learning. The proof of concept was supported by a prototype of the virtual environment.

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Section: Archetypes Of Virtual Business Environmentsmentioning

confidence: 99%

Performance-driven evolutionary capabilities in virtual production ecosystems

Strzelczak¹,

Warszawska²

2018

SPSUTOM

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“…5 Ansari et al (2013) introduce the modified Lilien measure as a desirable indicator of structural change that ideally fulfils the following five necessary conditions: (1) the index should take the value of zero if there are no structural changes within one period, (2) the structural change between two periods should be independent of the time sequence, (3) the structural change in one period should be smaller or equal to that between two sub-periods,…”

Section: Indices Of Structural Changementioning

confidence: 99%

Structural change and transformation of growth regime in the Japanese economy

Nishi

2016

Evolut Inst Econ Rev

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The purpose of this study is to empirically examine the relationship between structural change and economic growth in Japan during the past 40 years. While using the growth in real value added and labour productivity as measurement of economic growth, we consider the structural change in value added as the structural change in output and that in capital and labour as the structural change in inputs. Specifically, we use the Japan Industrial Productivity database 2014 compiled by the Research Institute of Economy, Trade and Industry, and show (1) the pace of structural change in inputs and output, (2) the evolution of sectoral dispersion of economic growth, (3) the changing distribution of sectoral contribution to aggregate economic growth, and (4) empirical evidence of the relationship between structural change and economic growth. Our main conclusion is that the Japanese growth regime has transformed from a heterogeneity decreased regime with overall growth process to a heterogeneity increased one with uneven growth process since the 1990s; the impact that structural change in output had on economic growth was positive, although its magnitude has weakened since then.

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“…Measuring the distance between two locations could be done better by calculating the travel time and distance between them. The extant literature has already introduced other commands such as (Ozimek and Miles 2011), (Voorheis 2015), (Huber and Rust 2016), (Weber and Péclat 2017; Weber, Péclat, and Warren 2022), and more community-contributed commands disclosed by the Statistical Software Components Archive (Anderson 2013; Ansari 2015; Heß 2015; Picard 2010; Zeigermann 2016). Some of these commands are still working, but others are already obsolete.…”

Section: Introductionmentioning

confidence: 99%

cntraveltime: Travel distance and travel time in China

Zhang,

Xue,

2023

The Stata Journal: Promoting communications on statistics and S

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In this article, we introduce the command cntraveltime, which can calculate both the travel distance and the travel time between two locations in China with respect to different modes of transportation (driving, public transport, and cycling). Existing commands such as georoute, traveltime, and mqtime have difficulties in parsing Chinese locations. cntraveltime solves this outstanding challenge via a feature that enables it to call route-planning services from the Baidu Maps Open Platform. The results of rigorous testing on the features of the command show that, relative to similar existing commands, cntraveltime has the highest capacity in terms of functionality and precision. This suggests that it can be regarded as a useful complement to other existing commands, especially when calculating travel distance and time for locations within China.

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Note on Lilien and Modified Lilien Index

Abstract: This article is a companion to the Lilien (lilien) and modified Lilien commands for computing relative indices in Stata. In this article, we illustrate the main features of the commands with an application to the structural determinants of regional unemployment.

Cited by 16 publications

References 5 publications

Performance-driven evolutionary capabilities in virtual production ecosystems

Performance-driven evolutionary capabilities in virtual production ecosystems

Structural change and transformation of growth regime in the Japanese economy

cntraveltime: Travel distance and travel time in China

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