The latest data capital expenditure showed that while the mining boom is over, that doesn't mean investment in the industry is over.
Further, the complementarity effect in labour and capital boosts the big data capital elasticity by 50% (1.05%/2.1% = 50%), as well as the big data labour elasticity by more than 70% (1.15%/1.6% = 72%).
We thus rather resort to another estimation strategy, whereby we compute the big data capital and labour elasticities εkd and εld for each company that has invested in big data, which we directly correlate with each whether the i-th firm has or not invested in either big data domain.
Including in computation only the statistically significant production parameters at 5%, the complete big data capital elasticity, εkd = β1 + β2.Log KD) + y.log(LD), amounts to: 2.1% + (10.5%*10%) = 3.15%.
What is more interesting is that the elasticities of big data capital and big data labour stock are significant, for nearly all coefficients at 5%.
The performance test relies on a so-called trans-logarithmic production function, allowing for a more direct test of the complementarity between big data capital and big data labour investments; further, we have used a Heckman correction to adjust for the fact that companies investing in big data are generally more productive than their peers.
Its main innovation is to develop a more general approach to corporate performance and to the production function, that allows us to answer more directly questions such as the (importance of) complementarity of big data capital and labour.
Log(LD) measure big data capital and labour elasticities; The sign of β2 as well of δ2 measures growing (if positive) or declining (if negative) returns in new big data investments in capital and labour input; The sign of γ, measures the extent of substitution, (if negative) or of complementary (if positive) between big data labour and capital.
On the other hand, the authors found, "there simply does not appear to be enough information in the data on capital punishment to reliably estimate a deterrent effect".
Before that article, the omission had not been questioned, although agency officials said today that the agency's vice minister, Takashi Nakanomyo, had mentioned a problem with the data on capital spending at a news conference held after the preliminary economic figures for the October-December quarter were released on March 13.
This study is designed to evaluate the impact of the urban transportation investment on SO2 emissions, using the data of capital cities of 30 provinces in China from 2002 to 2012.
